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Run your analysis now →GNSS augmentation systems correct and validate satellite positioning signals using reference station networks, broadcast corrections, ionospheric models and integrity limits. This landscape draws on 23 published records filed between 2015 and 2026 that combine GNSS augmentation, satellite-based augmentation systems and network RTK search terms with claim-level language on integrity and alert limits, ionospheric modeling, correction broadcast, PPP-RTK convergence and reference station networks, filtered to G01S19, H04B7 and G01C21.
The scope is narrow by design: it isolates records where the claims themselves address augmentation-specific problems, not general satellite navigation. That narrowness is why the record count is modest and why a handful of filers can account for most of the activity.
Publication lags filing by roughly 18 months, so the final year on any trend chart understates real activity. Read the composition chart against the record total, not against class counts, since a single record can carry more than one IPC class.
Filings ran at 2 in 2017, held around a midpoint of 2 in 2022, peaked at 4 in 2024, and stand at 1 in the partial 2026 year — a pattern that reads as flat to declining rather than accelerating.
G01S accounts for 100.0% of the 23 records in scope, confirming this is a positioning-and-ranging-centric field. H04W (wireless communication networks) appears in 13.0% of records and G01B (length measurement) in 4.3%, both minority branches layered on top of core positioning claims.
Shares are the percentage of the 23 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about gnss augmentation systems and every answer comes back with the patent numbers behind it.
Try EurekaThe patent describes updating a network RTK reference station network when a new node is added: the method locates the new node relative to existing nodes, selects target nodes under a preset rule, identifies the nodes connected to those targets, and reconstructs the network around the new and existing nodes using a Delaunay triangulation approach.Filed by Huawei Technologies Co., Ltd., published 2020-11-10.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20090184869A1 | Processing Multi-GNSS data from mixed-type receivers | 129 |
| 2 | US9557422B1 | Systems, methods, devices and subassemblies for creating and delivering a GNSS augmentation service | 46 |
| 3 | US8694250B2 | Processing multi-GNSS data from mixed-type receivers | 30 |
| 4 | CN105842719A | 一种顾及对流层影响的CORS基准站网基线模糊度解算方法 | 23 |
| 5 | CN112902825A | 一种适用于高精度形变监测的北斗/GNSS网络RTK算法 | 18 |
| 6 | CN108828626A | 基于实时网格的网络RTK电离层延迟内插方法及系统 | 18 |
| 7 | US8624779B2 | Global navigation satellite system (GNSS) reference station integrity monitoring and assurance | 14 |
| 8 | CN120143208A | 一种基于参考站网络的CORS服务增强定位方法、系统、设备及介质 | 2 |
Citation counts favour older filings by construction — treat them as a signal of influence within this corpus, not as a ranking of current technical importance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Publication numbers are shown where the record carries one (8 of 8 rows); clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three patterns stand out once the ranking, trend and IPC composition are read together: concentration at the top, a cooling filing trend, and a technology mix that is almost entirely positioning-class rather than broader wireless-network claims.
The top 5 ranked assignees combine for 14 of the 23 records in scope, and the top 10 reach 91.3%. That leaves only a thin long tail below tenth place, so a freedom-to-operate search in this space should start with the leaders rather than a broad sweep.
Filings moved from 2 in 2017 to a midpoint of 2 in 2022, then peaked at 4 in 2024 before dropping to 1 in the still-partial 2026 year. Recent-year momentum by leading assignee also shows zero filings in the latest year across every name tracked, though the incomplete final year understates this.
Every record in scope touches G01S (radar, sonar and positioning), while H04W (wireless networks) appears in only 13.0% and G01B (length measurement) in just 4.3%. That gap suggests augmentation claims are being written as positioning inventions first, with the wireless-delivery layer comparatively under-claimed.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to gnss augmentation systems, with the prior art for and against each one.
The ranked leaders span Chinese positioning-service providers, a US survey-equipment incumbent, a Chinese telecom equipment maker, and academic and military research institutes. Their filings sit almost entirely inside positioning claims, leaving the wireless-delivery and cross-domain integration layers comparatively open.
The top-ranked assignee holds 3 of the 23 records in scope, with a closely related co-assignee pair (a company and its regional subsidiary) tied together on 3 records — the strongest co-filing relationship in the dataset.
A major telecom equipment maker appears in the mid-field of the ranking with 2 records, including the representative record on reference station network updates — evidence that network infrastructure players are entering a field historically dominated by survey and positioning specialists.
From tenth place down, assignees hold a single record each, including university and research-institute filers. This long tail signals exploratory or defensive filing rather than sustained programmes, and is where freedom-to-operate risk is lowest.
| Assignee | Recent year | YoY |
|---|---|---|
| Huawei Technologies Co., Ltd. | 0 | — |
| Qianxun Spatial Intelligence Inc. | 0 | — |
| Qianxun Location Network (Zhejiang) Co., Ltd. | 0 | — |
| Positec Power Tools (Suzhou) Co., Ltd. | 0 | — |
| Sun Hongxing | 0 | — |
| Trimble Navigation Ltd. | 0 | — |
| PLA Strategic Support Force Information Engineering University | 0 | — |
| Chang'an University | 0 | — |
The dataset points to concentration at the top and a wireless-delivery layer that is thin relative to core positioning claims. Two directions follow from that.
With 60.9% of records held by the top 5 of 20 ranked assignees, a claim-by-claim comparison against those filers narrows freedom-to-operate work to a manageable set before widening the search.
Explore assignee claims in EurekaH04W appears in only 13.0% of the 23 records in scope despite G01S appearing in all of them, suggesting correction-broadcast and network-delivery claims are comparatively open.
Draft a claim in Patsnap EurekaWithin this 23-record dataset, the leading assignee holds 3 records, and the top 5 of 20 ranked assignees together hold 14 records, or 60.9% of the field. The leaders include Chinese positioning-service providers, a major telecom equipment maker, and a US survey-equipment incumbent. Below the top 10, which together reach 91.3% of records, the remaining assignees hold a single record each, so concentration is heavy at the top with a thin long tail beneath it.
Network RTK uses a network of reference stations to generate correction data that lets a rover receiver achieve centimetre-level positioning accuracy, rather than relying on a single base station. It shows up heavily in this dataset because the search scope specifically targets claims on reference station networks, correction broadcast and PPP-RTK convergence, all of which are network RTK's core technical problems. The representative record in this landscape, Huawei's method for updating a network RTK reference station network, is a direct example of this claim type.
Not clearly. Filings in this dataset ran at 2 in 2017, sat at 2 by the 2022 midpoint, peaked at 4 in 2024, and fell to 1 in the still-partial 2026 year. Recent-year momentum tracked by assignee shows zero filings in the latest year for every leading name, though publication lag of roughly 18 months means the most recent year always understates true activity. The overall shape reads as flat to declining rather than accelerating.
The clearest gap sits between positioning claims and wireless-delivery claims: G01S (positioning) covers 100.0% of the 23 records in scope, while H04W (wireless communication networks) appears in only 13.0% and G01B (length measurement) in just 4.3%. That imbalance suggests correction-broadcast protocols, PPP-RTK convergence acceleration and cross-domain integration with wireless network claims are comparatively under-claimed relative to core positioning inventions. A first claim there would likely combine an augmentation correction step with a specific wireless transport or scheduling mechanism, rather than restating a positioning algorithm alone.
US10834660B2 claims a method for updating a network RTK reference station network when a new node is added: it determines the new node's position relative to existing nodes, selects target nodes under a preset rule, identifies nodes connected to those targets, and reconstructs the network topology using a Delaunay triangulation approach. This blocks straightforward implementations of dynamic reference-network reconfiguration that follow the same node-selection-and-triangulation sequence. Designing around it generally means using a different topology-update rule, such as a distance-threshold or clustering method instead of Delaunay triangulation, or updating the network at fixed intervals rather than reactively on node addition.
Go past this page: query the whole gnss augmentation systems corpus yourself, in your own scope.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.