Proceedings of the 29th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 201 2016
DOI: 10.33012/2016.14778
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GNSS Spoof Detection Using Passive Ranging

Abstract: is a Professor of Electrical Engineering at the U.S. Coast Guard Academy, having retired from the USCG as a Captain in 2009. His research interests include efficient digital filtering methods, improved receiver signal processing techniques for electronic navigation systems, and autonomous vehicle design.

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Cited by 8 publications
(9 citation statements)
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“…A second sensor choice is radar, exploiting the relative position vector available from the radar returns between vehicles in a convoy [3]. Yet another possibility is to employ ranges [4] or pseudoranges [5] from fixed beacons, comparing the GNSS derived ranges to those measurements. These last two efforts are of particular relevance to the work presented herein.…”
Section: Introductionmentioning
confidence: 99%
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“…A second sensor choice is radar, exploiting the relative position vector available from the radar returns between vehicles in a convoy [3]. Yet another possibility is to employ ranges [4] or pseudoranges [5] from fixed beacons, comparing the GNSS derived ranges to those measurements. These last two efforts are of particular relevance to the work presented herein.…”
Section: Introductionmentioning
confidence: 99%
“…The examinations in [4,5] characterized the binary hypothesis test of spoofing/no spoofing, developed the generalized likelihood test statistic, and solved for the tests' probabilities of false alarm and detection. The formulation in these papers was for any number of range/pseudorange measurements and involved solving the data fusion problem of combining the GNSS position with the additional range/pseudorange measurements.…”
Section: Introductionmentioning
confidence: 99%
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“…• Later in 2016 these authors extended the range-based concept of GNSS spoof detection to pseudorange measurements allowing the inclusion of RF signals such as eLoran or R-Mode [6]. As such signals are typically linked to UTC in some fashion, these methods would also allow for the detection of time spoofing.…”
Section: Introductionmentioning
confidence: 99%
“…A typical marine application is a ship entering a harbor and using an alidade to sight landmarks (see Figure 1); for mobile, autonomous vehicles the sensor might be a camera taking a bearing to a nearby vehicle or to a signpost. As in our previous works [5][6][7][8], this paper presents a mathematical formulation of the problem and the sensor data, develops a statistical model of the measurements relative to the GNSS position output, constructs a generalized likelihood ratio test detection algorithm based on the Neyman-Pearson performance criterion (maximizing probability of detection while bounding probability of false alarm), and examines performance of the test, both through analysis and experimentation. A comparison to using both range and bearing is included to show the utility and limitations of bearing data to spoof detection.…”
Section: Introductionmentioning
confidence: 99%