{"id":36522,"date":"2026-08-13T16:07:08","date_gmt":"2026-08-13T08:07:08","guid":{"rendered":"https:\/\/aiportek.com\/?p=36522"},"modified":"2026-08-13T16:09:35","modified_gmt":"2026-08-13T08:09:35","slug":"enhanced-nmea-playback-gnss-simulation","status":"publish","type":"post","link":"https:\/\/aiportek.com\/en\/enhanced-nmea-playback-gnss-simulation\/","title":{"rendered":"[Hongke Insights] How Can Real-World Road Scenarios Be Replicated in the Lab? Enhanced NMEA Playback Revolutionizes GNSS Scenario Replication Capabilities"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"36522\" class=\"elementor elementor-36522\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-303a47ec elementor-section-stretched elementor-section-full_width elementor-section-height-min-height elementor-section-content-middle elementor-section-height-default elementor-section-items-middle\" data-id=\"303a47ec\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-27d5e225\" data-id=\"27d5e225\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-4e369ae3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4e369ae3\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-6555484e\" data-id=\"6555484e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-397ef20e elementor-widget elementor-widget-heading\" data-id=\"397ef20e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Hongke's latest articles<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-4b5c0d9b elementor-absolute elementor-widget elementor-widget-heading\" data-id=\"4b5c0d9b\" data-element_type=\"widget\" data-settings=\"{&quot;_position&quot;:&quot;absolute&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">HongKe<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6d18033c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6d18033c\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1f96cecf\" data-id=\"1f96cecf\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fd50b9b elementor-widget elementor-widget-text-editor\" data-id=\"fd50b9b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d303089 elementor-widget elementor-widget-text-editor\" data-id=\"d303089\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-4b0e7b4e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4b0e7b4e\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-7a4b7cfc\" data-id=\"7a4b7cfc\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-79a3214 elementor-widget elementor-widget-heading\" data-id=\"79a3214\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">[Hongke Insights] How Can Real-World Road Scenarios Be Replicated in the Lab? Enhanced NMEA Playback Revolutionizes GNSS Scenario Replication Capabilities<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-226f412 elementor-widget elementor-widget-post-info\" data-id=\"226f412\" data-element_type=\"widget\" data-widget_type=\"post-info.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-inline-items elementor-icon-list-items elementor-post-info\">\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-repeater-item-2358f4d elementor-inline-item\" itemprop=\"author\">\n\t\t\t\t\t\t<a href=\"https:\/\/aiportek.com\/en\/author\/hongketechnology\/\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-user-circle\" viewbox=\"0 0 496 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M248 104c-53 0-96 43-96 96s43 96 96 96 96-43 96-96-43-96-96-96zm0 144c-26.5 0-48-21.5-48-48s21.5-48 48-48 48 21.5 48 48-21.5 48-48 48zm0-240C111 8 0 119 0 256s111 248 248 248 248-111 248-248S385 8 248 8zm0 448c-49.7 0-95.1-18.3-130.1-48.4 14.9-23 40.4-38.6 69.6-39.5 20.8 6.4 40.6 9.6 60.5 9.6s39.7-3.1 60.5-9.6c29.2 1 54.7 16.5 69.6 39.5-35 30.1-80.4 48.4-130.1 48.4zm162.7-84.1c-24.4-31.4-62.1-51.9-105.1-51.9-10.2 0-26 9.6-57.6 9.6-31.5 0-47.4-9.6-57.6-9.6-42.9 0-80.6 20.5-105.1 51.9C61.9 339.2 48 299.2 48 256c0-110.3 89.7-200 200-200s200 89.7 200 200c0 43.2-13.9 83.2-37.3 115.9z\"><\/path><\/svg>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text elementor-post-info__item elementor-post-info__item--type-author\">\n\t\t\t\t\t\t\t\t\t\tHongKeTechnology\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t<\/li>\n\t\t\t\t<li class=\"elementor-icon-list-item elementor-repeater-item-a689c23 elementor-inline-item\" itemprop=\"datePublished\">\n\t\t\t\t\t\t<a href=\"https:\/\/aiportek.com\/en\/2026\/08\/13\/\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-calendar\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M12 192h424c6.6 0 12 5.4 12 12v260c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V204c0-6.6 5.4-12 12-12zm436-44v-36c0-26.5-21.5-48-48-48h-48V12c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v52H160V12c0-6.6-5.4-12-12-12h-40c-6.6 0-12 5.4-12 12v52H48C21.5 64 0 85.5 0 112v36c0 6.6 5.4 12 12 12h424c6.6 0 12-5.4 12-12z\"><\/path><\/svg>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text elementor-post-info__item elementor-post-info__item--type-date\">\n\t\t\t\t\t\t\t\t\t\t<time>August 13, 2026<\/time>\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t<\/li>\n\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c027dd7 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"c027dd7\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-410d603 elementor-widget elementor-widget-text-editor\" data-id=\"410d603\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"12\">GNSS testing in real-world road environments has long faced a dilemma:<b data-path-to-node=\"12\" data-index-in-node=\"26\">Standard test cases that run stably in the lab often show performance deviations during actual road testing.<\/b>Signal blockage in urban canyons, multipath interference under overpasses, and satellite signal attenuation on tree-lined roads\u2014these dynamic changes in real-world environments are difficult to fully replicate in traditional simulation workflows. This issue highlights a core dimension of GNSS testing methodology that has long been overlooked: how information must be accurately recorded and reconstructed during scenario reproduction to ensure that laboratory tests truly approximate real-world road conditions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1fd6f8f elementor-widget elementor-widget-heading\" data-id=\"1fd6f8f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why Is It Becoming Increasingly Difficult to Recreate Real-World Road Scenarios?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a046c3e elementor-widget elementor-widget-text-editor\" data-id=\"a046c3e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"15\">GNSS simulation testing has been widely adopted in fields such as automotive electronics, drones, the low-altitude economy, and smart transportation. Compared to real-world road testing, the greatest advantage of laboratory testing lies in<b data-path-to-node=\"15\" data-index-in-node=\"78\">Repeatable, controllable, and highly efficient<\/b>...The same test sequence can be executed repeatedly, and the same test scenario can be reliably reproduced; this forms the foundation of automated testing and standardized verification.<\/p><p data-path-to-node=\"16\">However, as testing gradually expanded from verifying basic positioning functions to validating performance in complex road environments, a whole new set of challenges began to emerge. GNSS performance on real roads is not determined solely by the vehicle\u2019s trajectory.<\/p><p data-path-to-node=\"17\">For a GNSS receiver, what it actually \u201csees\u201d\u2014in addition to position and time\u2014includes the current satellite constellation distribution, satellite visibility, and the constantly changing signal conditions. When a vehicle enters a tunnel, passes under an overpass, travels through an urban canyon, or drives through an area with dense tree cover, satellite signals fluctuate continuously due to obstruction, multipath propagation, and changes in the propagation environment; these factors collectively determine the receiver\u2019s ultimate positioning performance.<\/p><p data-path-to-node=\"18\">In other words, a complete GNSS test scenario actually consists of four key elements:<b data-path-to-node=\"18\" data-index-in-node=\"31\">Trajectory + Time + Satellite Constellation + Signal Propagation Status<\/b>The<\/p><p data-path-to-node=\"19\">Traditional laboratory simulations provide good control over trajectories and time, and can also simulate propagation processes such as those in the ionosphere, troposphere, and multipath using mathematical models. However, if the goal is to fully reproduce the actual signal variations that occurred on a specific day, at a specific location, and along a specific route, relying solely on mathematical modeling often requires extensive parameter tuning, and it is difficult to verify whether the final results are completely consistent with the real-world environment.<\/p><p data-path-to-node=\"20\">Therefore,<b data-path-to-node=\"20\" data-index-in-node=\"3\">Bringing observational characteristics from real-world roads back into the laboratory has long been an area of ongoing exploration in the field of GNSS testing.<\/b>The<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8f8e7f2 elementor-widget elementor-widget-heading\" data-id=\"8f8e7f2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why is traditional NMEA playback becoming increasingly unable to meet engineering requirements?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3cece11 elementor-widget elementor-widget-text-editor\" data-id=\"3cece11\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"23\">In GNSS testing, NMEA has always been the most common data format. By capturing navigation information\u2014such as vehicle position, speed, and time\u2014from messages like GGA and RMC output by the receiver, and then reimporting this data into a GNSS simulator, track playback can be completed. The primary advantage of this method is its simplicity and efficiency, enabling rapid verification of standard tracks; as a result, it has long been used for positioning function testing and basic track playback.<\/p><p data-path-to-node=\"24\">However, as R&amp;D efforts have gradually shifted toward replicating real-world road conditions, their limitations have also begun to emerge.<\/p><blockquote data-path-to-node=\"25\"><p data-path-to-node=\"25,0\"><b data-path-to-node=\"25,0\" data-index-in-node=\"0\">Traditional NMEA data primarily records \"where the vehicle went,\" but it cannot fully describe \"what the vehicle saw at that time.\"<\/b><\/p><\/blockquote><p data-path-to-node=\"26\">For example, when a vehicle enters an urban canyon, the number of visible satellites may decrease rapidly; upon entering a forest, some satellite signals will gradually weaken; and when passing under an overpass, obstructions from different directions can cause signal quality to fluctuate. These dynamic changes in real-world environments are not fully captured in standard NMEA data. Therefore, even if the track is identical, the reconstructed satellite environment may differ significantly from the actual road conditions.<\/p><p data-path-to-node=\"27\">For R&amp;D teams that need to validate positioning algorithms, satellite switching strategies, and robustness in complex environments, simply reproducing a trajectory is far from sufficient; what they really need to reproduce is<b data-path-to-node=\"27\" data-index-in-node=\"67\">The Scene Itself<\/b>The<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fbc188b elementor-widget elementor-widget-heading\" data-id=\"fbc188b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why isn't IQ\/RF recording and playback the best solution either?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6e368df elementor-widget elementor-widget-text-editor\" data-id=\"6e368df\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"30\">Since standard NMEA data cannot fully capture real-world conditions, another approach is to directly record radio frequency (RF) signals. IQ or RF recording and playback can fully capture the GNSS signals received on-site and then replay them using specialized equipment, thereby enabling a recreation that closely mimics real-world road conditions.<\/p><p data-path-to-node=\"31\">From the perspective of RF authenticity, this approach offers clear advantages. At the same time, however, it also raises new engineering challenges:<\/p><ul data-path-to-node=\"32\"><li><p data-path-to-node=\"32,0,0\"><b data-path-to-node=\"32,0,0\" data-index-in-node=\"0\">Costly<\/b>: IQ\/RF recording typically requires dedicated RF recording and playback equipment, resulting in a relatively high overall investment in the test system.<\/p><\/li><li><p data-path-to-node=\"32,1,0\"><b data-path-to-node=\"32,1,0\" data-index-in-node=\"0\">The volume of data is enormous<\/b>: Complete RF data contains a large amount of low-level sampling information; the longer the recording duration, the larger the data volume, which not only increases storage costs but also makes post-processing more difficult.<\/p><\/li><li><p data-path-to-node=\"32,2,0\"><b data-path-to-node=\"32,2,0\" data-index-in-node=\"0\">Lack of flexibility<\/b>: Once recorded, RF data is essentially fixed. If R&amp;D personnel wish to modify satellite visibility, adjust signal power, add interference sources, or reconfigure different constellation combinations, they cannot do so with the same flexibility as with a GNSS simulator.<\/p><\/li><\/ul><p data-path-to-node=\"33\">Therefore, IQ\/RF recording is more suitable for RF analysis and low-level signal research; however, it is not the most efficient solution for day-to-day R&amp;D, algorithm validation, and scenario library development.<\/p><p data-path-to-node=\"34\">These two approaches represent two different directions: one emphasizes<b data-path-to-node=\"34\" data-index-in-node=\"19\">Controllable, editable<\/b>; another approach emphasizes<b data-path-to-node=\"34\" data-index-in-node=\"31\">Authentic, Complete Reproduction<\/b>. The industry needs a middle ground that can combine the strengths of both.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a046ed3 elementor-widget elementor-widget-heading\" data-id=\"a046ed3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Enhanced NMEA: Bringing Real-World Road Scenarios to Life<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ea4f03d elementor-widget elementor-widget-text-editor\" data-id=\"ea4f03d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"37\">Addressing the respective challenges of traditional NMEA playback and IQ\/RF recording and playback, enhanced NMEA recording and playback offers a solution that balances authenticity, flexibility, and engineering efficiency.<\/p><p data-path-to-node=\"38\">It does not simply record vehicle trajectories; rather, it builds upon standard NMEA data by further integrating additional navigation information from GNSS receivers to provide a more comprehensive description of real-world road conditions. Enhanced NMEA can combine navigation messages such as GGA, RMC, GSV, and GSA. During playback, it can not only reconstruct the vehicle\u2019s motion trajectory but also recreate the satellite visibility, number of satellites, and signal strength at the time of the test (<span class=\"math-inline\" data-math=\"C\/N_0\" data-index-in-node=\"150\">$C\/N_0$<\/span> (signal-to-noise ratio) and other environmental information.<\/p><p data-path-to-node=\"39\">This means that, for R&amp;D personnel, what is played back in the lab is no longer just the \u201cvehicle\u2019s driving route,\u201d but rather<b data-path-to-node=\"39\" data-index-in-node=\"35\">A more accurate representation of satellite signal conditions in real-world road environments<\/b>. For example:<\/p><ul data-path-to-node=\"40\"><li><p data-path-to-node=\"40,0,0\">In urban canyons, the number of visible satellites fluctuates constantly due to obstruction by tall buildings;<\/p><\/li><li><p data-path-to-node=\"40,1,0\">After turning onto the tree-lined road, some satellite signals gradually weakened;<\/p><\/li><li><p data-path-to-node=\"40,2,0\">When passing through special environments such as overpasses and tunnels, satellite visibility and signal quality will also change significantly.<\/p><\/li><\/ul><p data-path-to-node=\"41\">Enhanced NMEA can capture these key features from real-world environments and reproduce them in a GNSS simulator, making laboratory testing more closely resemble real-world road conditions. For positioning algorithm validation, regression testing in complex scenarios, and product iteration verification, this capability means that R&amp;D teams can build a repeatable, scalable library of real-world road scenarios without having to conduct field data collection from scratch each time.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-335e9d9 elementor-widget elementor-widget-heading\" data-id=\"335e9d9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Compared to traditional solutions, what are the advantages of Enhanced NMEA?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-57294ef elementor-widget elementor-widget-text-editor\" data-id=\"57294ef\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"44\">If we consider the three approaches within the same technical framework, they correspond to different application scenarios:<\/p><ul data-path-to-node=\"45\"><li><p data-path-to-node=\"45,0,0\"><b data-path-to-node=\"45,0,0\" data-index-in-node=\"0\">Traditional NMEA Playback<\/b>: Its biggest advantage is that it is simple and easy to use and requires minimal data, making it ideal for basic trajectory verification. However, since it only stores a limited number of navigation results, it is difficult to fully reflect the actual satellite environment on real roads; therefore, it is more suitable for testing basic functions.<\/p><\/li><li><p data-path-to-node=\"45,1,0\"><b data-path-to-node=\"45,1,0\" data-index-in-node=\"0\">IQ\/RF Recording and Playback<\/b>: It can record the complete RF signal received on-site, offering a clear advantage in terms of RF authenticity, and is better suited for low-level signal analysis and RF research. However, this method typically requires specialized recording equipment, generates a large volume of data, has limited post-processing capabilities, and makes it difficult to flexibly adjust test parameters based on testing requirements.<\/p><\/li><li><p data-path-to-node=\"45,2,0\"><b data-path-to-node=\"45,2,0\" data-index-in-node=\"0\">Enhanced NMEA<\/b>: It falls somewhere in between. It retains the lightweight nature of NMEA data, which makes it easy to collect and manage, while also expanding navigation information to enable a more complete recreation of real-world road environments within GNSS simulators.<\/p><\/li><\/ul><p data-path-to-node=\"46\">More importantly, since the playback process still relies on a GNSS simulator, R&amp;D personnel can continue to leverage the simulator\u2019s capabilities to edit and expand the test scenarios. For example, they can adjust satellite constellation combinations, modify test times, change navigation signal configurations, and even integrate the simulator with other simulation environments\u2014all without having to conduct new field data collection.<\/p><p data-path-to-node=\"47\">This combination of \"real data + editable simulations\" also makes Enhanced NMEA better suited to the requirements for flexibility and repeatability in the engineering R&amp;D process.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cc35b83 elementor-widget elementor-widget-heading\" data-id=\"cc35b83\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What R&amp;D and testing challenges can Enhanced NMEA address?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-85830b3 elementor-widget elementor-widget-text-editor\" data-id=\"85830b3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"50\">For R&amp;D teams, the value of Enhanced NMEA lies not only in the upgrade to the data format, but more importantly, in the way it has transformed how real-world road testing is conducted.<\/p><p data-path-to-node=\"51\">In the past, after an on-site test was completed, if the localization algorithm was optimized, it was usually necessary to return to the same road segment for verification. This not only took a significant amount of time but also made it difficult to ensure that the test conditions were exactly the same.<\/p><p data-path-to-node=\"52\">By creating a library of real-world road scenarios using Enhanced NMEA, the same road, the same time, and the same satellite conditions can all be replicated in the laboratory. R&amp;D personnel can continuously validate different versions of software algorithms using the same test scenario, as well as conduct iterative analyses of positioning anomalies, without having to rely on field environments.<\/p><p data-path-to-node=\"53\">Meanwhile,<b data-path-to-node=\"53\" data-index-in-node=\"5\">Enhanced NMEA can also serve as an important supplement to standard testing.<\/b>. Traditional standard tests focus more on typical operating conditions, whereas real-world road conditions often involve more complex environmental variations. By saving real-world data collection scenarios as reusable test resources, companies can not only conduct compliance verification but also establish a testing system better tailored to their products\u2019 specific characteristics, thereby improving the efficiency of product R&amp;D and validation.<\/p><p data-path-to-node=\"54\">For R&amp;D teams that need to continuously optimize algorithms, perform regression testing, and validate complex scenarios, this approach can effectively reduce the number of field tests and improve the coverage of laboratory validation.<\/p><p data-path-to-node=\"55\">With the continuous development of intelligent driving (autonomous driving), in-vehicle navigation, the low-altitude economy, and high-precision positioning applications, GNSS testing has gradually shifted from simply verifying positioning results to systematically replicating real-world road conditions. Compared to traditional NMEA playback, which can only reconstruct vehicle trajectories, Enhanced NMEA further incorporates navigation information such as satellite visibility and signal strength, enabling laboratory testing to more closely mimic real-world road conditions; Compared to IQ\/RF recording and playback, it also offers advantages such as lightweight data, lower cost, and editable scenarios, providing R&amp;D teams with a new approach to building a library of real-world road scenarios.<\/p><p data-path-to-node=\"56\">For R&amp;D teams that need to continuously perform algorithm optimization, regression testing, and validation in complex scenarios, Enhanced NMEA not only improves the ability to replicate real-world scenarios but also further enhances the value of GNSS simulators in engineering testing.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-45ed7c8 elementor-widget elementor-widget-button\" data-id=\"45ed7c8\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/aiportek.com\/gnss-simulator-gts-p7\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Go to the GNSS product page<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-9049411 e-flex e-con-boxed e-con e-parent\" data-id=\"9049411\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cfcf4de e-flex e-con-boxed e-con e-parent\" data-id=\"cfcf4de\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dbc1b58 elementor-widget elementor-widget-heading\" data-id=\"dbc1b58\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-xl\">Other Articles<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-74adc8f elementor-posts--align-left elementor-grid-3 elementor-grid-tablet-2 elementor-grid-mobile-1 elementor-posts--thumbnail-top elementor-card-shadow-yes elementor-posts__hover-gradient elementor-widget elementor-widget-posts\" data-id=\"74adc8f\" data-element_type=\"widget\" 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class=\"elementor-post__thumbnail__link\" href=\"https:\/\/aiportek.com\/en\/aidata-auto-annotator-adas-3d-data-annotation-solution\/\" tabindex=\"-1\" target=\"_blank\"><div class=\"elementor-post__thumbnail\"><img fetchpriority=\"high\" decoding=\"async\" width=\"2560\" height=\"1463\" src=\"https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-scaled.jpg\" class=\"attachment-full size-full wp-image-15705\" alt=\"\" srcset=\"https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-scaled.jpg 2560w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-scaled-600x343.jpg 600w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-300x171.jpg 300w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-1024x585.jpg 1024w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-768x439.jpg 768w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-1536x878.jpg 1536w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-2048x1170.jpg 2048w, https:\/\/aiportek.com\/wp-content\/uploads\/2024\/05\/blurred-motion-illuminated-skyscrapers-rush-hour-traffic-generative-ai-18x10.jpg 18w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__badge\">Hongke Dry Goods<\/div>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/aiportek.com\/en\/aidata-auto-annotator-adas-3d-data-annotation-solution\/\" target=\"&quot;_blank&quot;\">\n\t\t\t\t[Hongke Solutions] Say Goodbye to Expensive Manual Annotation! aiData 4D Automatic Annotation Technology Enables a Closed-Loop ADAS Data System\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__excerpt\">\n\t\t\t<p>In the development of ADAS and autonomous driving, the high cost and lengthy cycle of manual annotation severely hinder algorithm iteration. Hongke\u2019s aiData Auto Annotator solution (developed by aiMotive) utilizes 4D environmental models and neural computing technology to achieve fully automated, high-precision annotation of dynamic 3D bounding boxes and static lane markings. Its annotation accuracy exceeds the human benchmark and can reduce annotation costs by more than 90%, providing an efficient and scalable closed-loop data system for autonomous driving R&amp;D.<\/p>\n\t\t<\/div>\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/aiportek.com\/en\/aidata-auto-annotator-adas-3d-data-annotation-solution\/\" aria-label=\"Read more about \u3010\u8679\u79d1\u65b9\u6848\u3011\u544a\u5225\u9ad8\u6602\u4eba\u5de5\u6a19\u8a3b\uff01aiData 4D \u81ea\u52d5\u6a19\u8a3b\u6280\u8853\u8ce6\u80fd ADAS \u6578\u64da\u9589\u74b0\" tabindex=\"-1\" target=\"_blank\">\n\t\t\tRead more\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-post__meta-data\">\n\t\t\t\t\t<span class=\"elementor-post-author\">\n\t\t\tHongKeTechnology\t\t<\/span>\n\t\t\t\t<span class=\"elementor-post-date\">\n\t\t\tSeptember 29, 2026\t\t<\/span>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-29181 post type-post status-publish format-standard has-post-thumbnail hentry category-18 tag-vuzix tag-42\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/aiportek.com\/en\/vuzix-waveguide-technology-hk-case\/\" tabindex=\"-1\" target=\"_blank\"><div class=\"elementor-post__thumbnail\"><img decoding=\"async\" width=\"670\" height=\"322\" src=\"https:\/\/aiportek.com\/wp-content\/uploads\/2025\/10\/\u5c4f\u5e55\u622a\u56fe-2025-10-21-101630.png\" class=\"attachment-full size-full wp-image-29183\" alt=\"\" srcset=\"https:\/\/aiportek.com\/wp-content\/uploads\/2025\/10\/\u5c4f\u5e55\u622a\u56fe-2025-10-21-101630.png 670w, https:\/\/aiportek.com\/wp-content\/uploads\/2025\/10\/\u5c4f\u5e55\u622a\u56fe-2025-10-21-101630-300x144.png 300w, https:\/\/aiportek.com\/wp-content\/uploads\/2025\/10\/\u5c4f\u5e55\u622a\u56fe-2025-10-21-101630-18x9.png 18w, https:\/\/aiportek.com\/wp-content\/uploads\/2025\/10\/\u5c4f\u5e55\u622a\u56fe-2025-10-21-101630-600x288.png 600w\" sizes=\"(max-width: 670px) 100vw, 670px\" \/><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__badge\">Hongke Case<\/div>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/aiportek.com\/en\/vuzix-waveguide-technology-hk-case\/\" target=\"&quot;_blank&quot;\">\n\t\t\t\t[Hongke Solutions] Vuzix Light Guide Technology: Advantages and Core Series Specifications Explained\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__excerpt\">\n\t\t\t<p>Together with Vuzix, Avision provides 20\u00b0-40\u00b0 FOV customization, Incognito\u2122 invisible display, Lightbank\u2122 light engine, and giant format waveguide with ultra-thin, full-color, transparent waveguide and proprietary process for B2B applications such as automotive, medical, corporate training, and national defense.<\/p>\n\t\t<\/div>\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/aiportek.com\/en\/vuzix-waveguide-technology-hk-case\/\" aria-label=\"Read more about \u3010\u8679\u79d1\u65b9\u6848\u3011 Vuzix \u5149\u6ce2\u5c0e\u6280\u8853 \u512a\u52e2\u8207 Core \u7cfb\u5217\u898f\u683c\u89e3\u6790\" tabindex=\"-1\" target=\"_blank\">\n\t\t\tRead more\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-post__meta-data\">\n\t\t\t\t\t<span class=\"elementor-post-author\">\n\t\t\tHongKeTechnology\t\t<\/span>\n\t\t\t\t<span class=\"elementor-post-date\">\n\t\t\tOctober 21, 2025\t\t<\/span>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-37548 post type-post status-publish format-standard has-post-thumbnail hentry category-12 tag-gnss tag-67\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/aiportek.com\/en\/gnss-full-stack-technology-testing-solution\/\" tabindex=\"-1\" target=\"_blank\"><div class=\"elementor-post__thumbnail\"><img decoding=\"async\" width=\"1280\" height=\"854\" src=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/05\/GNSS-1.webp\" class=\"attachment-full size-full wp-image-34964\" alt=\"\" srcset=\"https:\/\/aiportek.com\/wp-content\/uploads\/2026\/05\/GNSS-1.webp 1280w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/05\/GNSS-1-300x200.webp 300w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/05\/GNSS-1-1024x683.webp 1024w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/05\/GNSS-1-768x512.webp 768w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/05\/GNSS-1-18x12.webp 18w, https:\/\/aiportek.com\/wp-content\/uploads\/2026\/05\/GNSS-1-600x400.webp 600w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__badge\">Hongke Dry Goods<\/div>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/aiportek.com\/en\/gnss-full-stack-technology-testing-solution\/\" target=\"&quot;_blank&quot;\">\n\t\t\t\t[Hongke Solutions] Beyond Signals: Decoding Desite\u2019s \u201cFull-Stack\u201d Technical Depth in the GNSS Field\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__excerpt\">\n\t\t\t<p>In the GNSS field, many companies remain stuck at the \u201capplication-layer implementer\u201d stage and struggle to meet challenges such as drone swarm coordination, high-precision positioning in extreme environments, and anti-jamming encrypted communications. Deste (a Hongke partner) has broken through the limitations of superficial integration to build end-to-end technical depth spanning \u201cunderlying technology\u2014testing and validation\u2014complex scenario applications.\u201d This article provides an in-depth analysis of how Destar, through its strategic portfolio of patents and software copyrights, has built a GNSS technology moat from the \u201cground up.\u201d<\/p>\n\t\t<\/div>\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/aiportek.com\/en\/gnss-full-stack-technology-testing-solution\/\" aria-label=\"Read more about \u3010Hongke Solutions\u3011More Than Just Signals: Decoding Desite\u2019s \u201cFull-Stack\u201d Technical Depth in the GNSS Field\" tabindex=\"-1\" target=\"_blank\">\n\t\t\tRead more\t\t<\/a>\n\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-post__meta-data\">\n\t\t\t\t\t<span class=\"elementor-post-author\">\n\t\t\tHongKeTechnology\t\t<\/span>\n\t\t\t\t<span class=\"elementor-post-date\">\n\t\t\tSeptember 24, 2026\t\t<\/span>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<\/div>\n\t\t\n\t\t\t\t<div class=\"e-load-more-anchor\" data-page=\"1\" data-max-page=\"40\" data-next-page=\"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36522\/page\/2\/\"><\/div>\n\t\t\t\t<nav class=\"elementor-pagination\" aria-label=\"Pagination\">\n\t\t\t<span class=\"page-numbers prev\">\"<\/span>\n<span aria-current=\"page\" class=\"page-numbers current\"><span class=\"elementor-screen-only\">Page<\/span>1<\/span>\n<a class=\"page-numbers\" href=\"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36522\/page\/2\/\"><span class=\"elementor-screen-only\">Page<\/span>2<\/a>\n<a class=\"page-numbers\" href=\"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36522\/page\/3\/\"><span class=\"elementor-screen-only\">Page<\/span>3<\/a>\n<span class=\"page-numbers dots\">...<\/span>\n<a class=\"page-numbers\" href=\"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36522\/page\/5\/\"><span class=\"elementor-screen-only\">Page<\/span>5<\/a>\n<a class=\"page-numbers next\" href=\"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36522\/page\/2\/\">\"<\/a>\t\t<\/nav>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>An In-Depth Analysis of Enhanced NMEA Playback Technology. By combining messages such as GGA, GSV, and GSA with carrier-to-noise ratio data, this technology accurately recreates real-world GNSS road scenarios\u2014including urban canyons and multipath interference\u2014overcoming the limitations of traditional NMEA and IQ\/RF recording methods, and enabling the validation of positioning algorithms for autonomous driving and the low-altitude economy.<\/p>","protected":false},"author":1,"featured_media":36108,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[12],"tags":[69,67],"class_list":["post-36522","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-12","tag-gnss","tag-67"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36522","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/comments?post=36522"}],"version-history":[{"count":4,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36522\/revisions"}],"predecessor-version":[{"id":36526,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/posts\/36522\/revisions\/36526"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/media\/36108"}],"wp:attachment":[{"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/media?parent=36522"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/categories?post=36522"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aiportek.com\/en\/wp-json\/wp\/v2\/tags?post=36522"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}