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GNSS Spoofing Detection Based on Signal Power Measurements: Statistical Analysis

GNSS Spoofing Detection Based on Signal Power Measurements: Statistical Analysis A threat to GNSS receivers is posed by a spoofing transmitter that emulates authentic signals but with randomized code phase and Doppler values over a small range. Such spoofing signals can result in large navigational solution errors that are passed onto the unsuspecting user with potentially dire consequences. An effective spoofing detection technique is developed in this paper, based on signal power measurements and that can be readily applied to present consumer grade GNSS receivers with minimal firmware changes. An extensive statistical analysis is carried out based on formulating a multihypothesis detection problem. Expressions are developed to devise a set of thresholds required for signal detection and identification. The detection processing methods developed are further manipulated to exploit incidental antenna motion arising from user interaction with a GNSS handheld receiver to further enhance the detection performance of the proposed algorithm. The statistical analysis supports the effectiveness of the proposed spoofing detection technique under various multipath conditions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Navigation and Observation Hindawi Publishing Corporation

GNSS Spoofing Detection Based on Signal Power Measurements: Statistical Analysis

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Publisher
Hindawi Publishing Corporation
Copyright
Copyright © 2012 V. Dehghanian et al.
ISSN
1687-5990
eISSN
1687-6008
Publisher site
See Article on Publisher Site

Abstract

A threat to GNSS receivers is posed by a spoofing transmitter that emulates authentic signals but with randomized code phase and Doppler values over a small range. Such spoofing signals can result in large navigational solution errors that are passed onto the unsuspecting user with potentially dire consequences. An effective spoofing detection technique is developed in this paper, based on signal power measurements and that can be readily applied to present consumer grade GNSS receivers with minimal firmware changes. An extensive statistical analysis is carried out based on formulating a multihypothesis detection problem. Expressions are developed to devise a set of thresholds required for signal detection and identification. The detection processing methods developed are further manipulated to exploit incidental antenna motion arising from user interaction with a GNSS handheld receiver to further enhance the detection performance of the proposed algorithm. The statistical analysis supports the effectiveness of the proposed spoofing detection technique under various multipath conditions.

Journal

International Journal of Navigation and ObservationHindawi Publishing Corporation

Published: Nov 6, 2012

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