A GNSS structural interference mitigation technique using antenna array processing

Daneshmand, Saeed; Jafarnia-Jahromi, Ali; Broumandan, Ali; Lachapelle, G.

doi:10.1109/sam.2014.6882352

Cited by 43 publications

(31 citation statements)

References 2 publications

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“…One of the firstly reported commercial platforms was NAVSYS Corporation's High Gain Advanced GPS Receiver (HAGR) [72], which was composed of a 16-element antenna array receiver and used dedicated hardware to create up to 12 independent and parallel beamformings to simultaneously point the array beams towards 12 GPS satellites. Similar architectures were reported in [73]- [77], as well as combined with inertial navigation [78], [79] and attitude determination systems [80], [81].…”

Section: B Multiple-output Adaptive Beamformerssupporting

confidence: 63%

Robust GNSS Receivers by Array Signal Processing: Theory and Implementation

Fernández‐Prades¹,

Arribas²,

Closas³

2016

Proc. IEEE

107

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One of the main vulnerabilities of GNSS receivers is their exposure to intentional or unintentional jamming signals, which could even cause service unavailability. Several alternatives to counteract these effects were proposed in the literature, being the most promising those based on multiple antenna architectures. This is specially the case for high-grade receivers used in applications requiring reliability and robustness. This article provides an overview of the possible receiver architectures encompassing antenna arrays and the associated signal processing techniques. Emphasis is also put on the most typical implementation issues found when dealing with such technology. A thorough survey is complemented with a set of experiments, including real data processing by a working prototype, which exemplifies the above ideas.

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Section: B Multiple-output Adaptive Beamformerssupporting

confidence: 63%

Robust GNSS Receivers by Array Signal Processing: Theory and Implementation

Fernández‐Prades¹,

Arribas²,

Closas³

2016

Proc. IEEE

107

View full text Add to dashboard Cite

show abstract

“…However, estimating actual DOA requires precise array calibration which may be cumbersome. In [14,15] the authors propose GNSS spoofing countermeasures based on analysis of signals’ steering vectors, assuming that these vectors may be estimated independently for authentic and spoofing signals. It may not be achieved if these signals are correlated as in case of early stage of intermediate spoofing.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Antenna Scheme for Early Detection and Mitigation of Intermediate GNSS Spoofing

Magiera

2019

Sensors

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This article presents a method for detecting and mitigating intermediate GNSS spoofing. In this type of attack, at its early stage, a spoofer transmits counterfeit signals which have slight time offsets compared to true signals arriving from satellites. The anti-spoofing method proposed in this article fuses antenna array processing techniques with a multipath detection algorithm. The latter is necessary to separate highly correlated true and counterfeit GNSS signals. Spoofing detection is based on comparison of steering vectors related to received spatial components. Whereas mitigation is achieved by means of adaptive beamforming which excises interferences arriving from common direction and preserves undistorted signals from GNSS satellites. Performance of proposed method is evaluated through simulations, results of which prove the usefulness of this method for protecting GNSS receivers from intermediate spoofing interference.

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“…For instance, in most wireless communication systems, increasing the signal to noise ratio to reduce bit error rate is the main focus; for GNSS the focus is to improve time-delay estimation to improve estimated position accuracy. The effectiveness of different beamforming techniques for GNSS applications was studied in (Fern'andez-Prades et al 2016;Gupta et al 2016;Broumandan et al 2016;Cuntz et al 2016;Amin et al 2016;Daneshmand et al 2014;Arribas et al 2014;Egea et al 2014;Kalyanaraman and Braasch 2007;Kalyanaraman and Braasch 2010). Most of the distortionless beamforming techniques are developed with the assumption that there is no correlation between desired and interference signals.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of GNSS multipath mitigation using antenna arrays

Vagle

Broumandan

Jafarnia-Jahromi

2016

J. Glob. Position. Syst.

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Multipath affects the shape of the correlation function and results in biased pseudorange measurements and erroneous navigation solutions. Antenna array processing, which uses signal spatial characteristics, is an effective method to mitigate various types of interference signals. However, the performance of most of the distortionless beamforming techniques degrades in multipath conditions due to the correlation between the desired Line of Sight (LOS) signal and multipath signals. This paper characterizes the performance of different beamforming techniques to mitigate multipath signals through the processing and analysis of simulated and actual data. The main novelty is the investigation of multipath mitigation performance of practically realizable antenna array-based GNSS receivers when the beamforming process is completely integrated into the tracking module after de-spreading. Beamforming techniques such as Delay And Sum (DAS) beamforming, Minimum Power Distortionless Response (MPDR) with and without spatial smoothing are considered. A novel multi-antenna simulator test-bed is developed to generate multipath signals for a multi-antenna platform. A software multi-antenna GPS receiver incorporating different beamforming techniques is then developed to generate pseudorange measurements and position solutions. Carrier-to-Noise ratio (C/N 0 ), pseudorange errors and position solutions before and after beamforming are compared to show the effectiveness of different beamforming techniques to mitigate multipath. Results with simulated and actual GPS signals show improved performance using the MPDR beamformer with spatial smoothing. The utilization of spatial processing results in a pseudorange error reduction of up to 60 % and a position error reduction of up to 30 %.

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A GNSS structural interference mitigation technique using antenna array processing

Cited by 43 publications

References 2 publications

Robust GNSS Receivers by Array Signal Processing: Theory and Implementation

Robust GNSS Receivers by Array Signal Processing: Theory and Implementation

A Multi-Antenna Scheme for Early Detection and Mitigation of Intermediate GNSS Spoofing

Performance analysis of GNSS multipath mitigation using antenna arrays

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