Tight Integration of GNSS Measurements and GNSS-based Collaborative Virtual Ranging

Minetto, Alex; Nardin, Andrea; Dovis, Fabio

doi:10.33012/2018.15955

Cited by 17 publications

(10 citation statements)

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“…Other DGNSSbased techniques are comparatively investigated in [25]. A further method was then proposed by relying on the exchange of both pseudorange measurements and the terms of the Direction Cosine Matrix (DCM) computed within the Position Time Velocity (PVT), in [26].In previous contributions, researchers observed remarkable improvement in CP by tightly integrating Double Differences (DD), and the quantity of information carried by such differential measurements was demonstrated in [22], [27]- [29].…”

Section: A Estimation and Integration Of Gnss Differential Range Measurementsmentioning

confidence: 99%

DGNSS Cooperative Positioning in Mobile Smart Devices: a Proof of Concept

Minetto¹,

Bello²,

Dovis³

2021

Preprint

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<div>In recent years positioning and navigation capabilities in mobile devices have become essential to the evergrowing number of position-related smart applications. Global Navigation Satellite System (GNSS) constitutes the provider for geo-localization, therefore consumer-grade, embedded GNSS receivers have become ubiquitous in mobile smart devices. Among these, smartphones play a dominant role in enabling such modern services based on position information. However, GNSS positioning shows several weaknesses in urban contexts where mobile smart devices are massively diffused. Indeed, the limited sky visibility and multipath scattering induced by buildings severely threat the quality of the final solution. Two main ingredients can enable innovative collaborative strategies capable to increase the robustness of GNSS navigation: The availability of raw GNSS measurements which have been recently disclosed in ultra-low cost smartphone chipsets and the ubiquitous connectivity provided by modern low-latency, network infrastructures allowing for near-real-time exchange of data. This work presents the architecture of a Proof Of Concept designed to demonstrate the feasibility of a GNSS-only Cooperative Positioning among networked smartphones equipped with GNSS receivers. The test campaign presented in this work assessed the feasibility of the approach over 4G/LTE network connectivity and an average accuracy improvement over the 40%.</div>

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Section: A Estimation and Integration Of Gnss Differential Range Measurementsmentioning

confidence: 99%

DGNSS Cooperative Positioning in Mobile Smart Devices: a Proof of Concept

Minetto¹,

Bello²,

Dovis³

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Among various GNSS-based CP methods, a popular approach is to apply double difference (DD) on the pseudorange measurements from neighboring road agents to eliminate the systematic error during relative positioning, such as atmospheric delay and ephemeris error [19,20]. Besides, based on the angular geometry between satellites and agents, the interagent range can be estimated for CP even when some of the satellite signals are blocked by buildings [21]. However, these methods can be significantly degraded by the multipath and NLOS reception error.…”

Section: Introductionmentioning

confidence: 99%

GNSS RUMS: GNSS Realistic Urban Multiagent Simulator for Collaborative Positioning Research

Zhang

et al. 2021

Remote Sensing

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Accurate localization of road agents (GNSS receivers) is the basis of intelligent transportation systems, which is still difficult to achieve for GNSS positioning in urban areas due to the signal interferences from buildings. Various collaborative positioning techniques were recently developed to improve the positioning performance by the aid from neighboring agents. However, it is still challenging to study their performances comprehensively. The GNSS measurement error behavior is complicated in urban areas and unable to be represented by naive models. On the other hand, real experiments requiring numbers of devices are difficult to conduct, especially for a large-scale test. Therefore, a GNSS realistic urban measurement simulator is developed to provide measurements for collaborative positioning studies. The proposed simulator employs a ray-tracing technique searching for all possible interferences in the urban area. Then, it categorizes them into direct, reflected, diffracted, and multipath signal to simulate the pseudorange, , and Doppler shift measurements correspondingly. The performance of the proposed simulator is validated through real experimental comparisons with different scenarios based on commercial-grade receivers. The proposed simulator is also applied with different positioning algorithms, which verifies it is sophisticated enough for the collaborative positioning studies in the urban area.

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“…Among various GNSS-based CP methods, a popular approach is to apply double difference (DD) on the pseudorange measurements from neighboring road agents to eliminate the systematic error during relative positioning, such as atmospheric delay and ephemeris error [14,15]. Besides, based on the angular geometry between satellites and agents, the inter-agent range can be estimated for CP even when some of the satellite signals are blocked by buildings [16]. However, these methods can be significantly degraded by the multipath and NLOS reception error.…”

Section: Introductionmentioning

confidence: 99%

GNSS RUMS: GNSS Realistic Urban Multi-agent Simulator for Collaborative Positioning Research

Zhang¹,

Xu²,

Ng³

et al. 2020

Preprint

View full text Add to dashboard Cite

Accurate localization of road agents is the basis of intelligent transportation systems, which is still difficult to achieve for GNSS positioning in urban areas due to the signal interferences from buildings. Various collaborative positioning techniques are recently developed to improve the positioning performance by the aid from neighboring agents. However, it is still challenging to study their performances comprehensively. The GNSS measurement error behavior is complicated in urban areas and unable to be represented by naive models. On the other hand, real experiment requiring numbers of devices is hard to be conducted, especially for a large-scale test. Therefore, a GNSS realistic urban measurement simulator is developed to provide measurements for collaborative positioning studies. The proposed simulator employs a ray-tracing technique searching for all possible interferences in the urban area. Then, it categorizes them into direct, reflected, diffracted, and multipath signal to simulate the pseudorange, carrier-phase, 〖C/N〗_0, and Doppler shift measurements correspondingly. The performance of the proposed simulator is validated through real experimental comparisons with different scenarios. The proposed simulator is also applied with different positioning algorithms, which verifies it is sophisticated enough for the collaborative positioning studies in the urban area.

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Tight Integration of GNSS Measurements and GNSS-based Collaborative Virtual Ranging

Cited by 17 publications

References 0 publications

DGNSS Cooperative Positioning in Mobile Smart Devices: a Proof of Concept

DGNSS Cooperative Positioning in Mobile Smart Devices: a Proof of Concept

GNSS RUMS: GNSS Realistic Urban Multiagent Simulator for Collaborative Positioning Research

GNSS RUMS: GNSS Realistic Urban Multi-agent Simulator for Collaborative Positioning Research

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