Analysis of a Vector Tracking Aided Synthetic CRPA for Spoofing Mitigation. Givhan, C. A. & Martin, S. M. In pages 687–698, April, 2024. ![Analysis of a Vector Tracking Aided Synthetic CRPA for Spoofing Mitigation [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex One of the best methods to detect and mitigate spoofing attacks involves using angle of arrival information from an antenna array; however, due to SWAPc concerns, CRPAs can be costly to field. This work demonstrates the effectiveness of a limited SWAPc CRPA with two elements used in combination with a vector tracking receiver on a moving vehicle to synthesize a larger array for spoofing detection and mitigation. The receiver feeds back navigation information to generate compensated correlations that preserve spatial phase information from the received wave front. These correlations are fed into a MUSIC algorithm to determine angle of arrival for estimating user attitude. The necessity of known navigation information complicates the algorithm when operating in a spoofed environment. To combat this issue, a layered RAIM based algorithm is proposed and tested in a Safran Skydel simulation to show the recoverability of the true solution with a two-element array. First, the receiver tracks all signals in view and provides measurements to a traditional pseudorange RAIM algorithm. The algorithm returns all consistent PVT solution combinations below a threshold; after, all candidate solutions are then used to generate correlations for the MUSIC algorithm. Finally, the angle of arrival information is then used to jointly estimate attitude and determine the spoofed solution by using a secondary RAIM algorithm. The true PVT solution is shown to be recoverable; additionally, the roll, pitch, and yaw are all estimated to within 2 degrees of error. Pointing vectors may also be estimated for spoofer localization.
@inproceedings{givhan_analysis_2024,
title = {Analysis of a {Vector} {Tracking} {Aided} {Synthetic} {CRPA} for {Spoofing} {Mitigation}},
url = {http://www.ion.org/publications/abstract.cfm?jp=p&articleID=19629},
doi = {10.33012/2024.19629},
abstract = {One of the best methods to detect and mitigate spoofing attacks involves using angle of arrival information from an antenna array; however, due to SWAPc concerns, CRPAs can be costly to field. This work demonstrates the effectiveness of a limited SWAPc CRPA with two elements used in combination with a vector tracking receiver on a moving vehicle to synthesize a larger array for spoofing detection and mitigation. The receiver feeds back navigation information to generate compensated correlations that preserve spatial phase information from the received wave front. These correlations are fed into a MUSIC algorithm to determine angle of arrival for estimating user attitude. The necessity of known navigation information complicates the algorithm when operating in a spoofed environment. To combat this issue, a layered RAIM based algorithm is proposed and tested in a Safran Skydel simulation to show the recoverability of the true solution with a two-element array. First, the receiver tracks all signals in view and provides measurements to a traditional pseudorange RAIM algorithm. The algorithm returns all consistent PVT solution combinations below a threshold; after, all candidate solutions are then used to generate correlations for the MUSIC algorithm. Finally, the angle of arrival information is then used to jointly estimate attitude and determine the spoofed solution by using a secondary RAIM algorithm. The true PVT solution is shown to be recoverable; additionally, the roll, pitch, and yaw are all estimated to within 2 degrees of error. Pointing vectors may also be estimated for spoofer localization.},
language = {en},
urldate = {2024-06-20},
author = {Givhan, C. Anderson and Martin, Scott M.},
month = apr,
year = {2024},
pages = {687--698},
}
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The receiver feeds back navigation information to generate compensated correlations that preserve spatial phase information from the received wave front. These correlations are fed into a MUSIC algorithm to determine angle of arrival for estimating user attitude. The necessity of known navigation information complicates the algorithm when operating in a spoofed environment. To combat this issue, a layered RAIM based algorithm is proposed and tested in a Safran Skydel simulation to show the recoverability of the true solution with a two-element array. First, the receiver tracks all signals in view and provides measurements to a traditional pseudorange RAIM algorithm. The algorithm returns all consistent PVT solution combinations below a threshold; after, all candidate solutions are then used to generate correlations for the MUSIC algorithm. Finally, the angle of arrival information is then used to jointly estimate attitude and determine the spoofed solution by using a secondary RAIM algorithm. The true PVT solution is shown to be recoverable; additionally, the roll, pitch, and yaw are all estimated to within 2 degrees of error. Pointing vectors may also be estimated for spoofer localization.","language":"en","urldate":"2024-06-20","author":[{"propositions":[],"lastnames":["Givhan"],"firstnames":["C.","Anderson"],"suffixes":[]},{"propositions":[],"lastnames":["Martin"],"firstnames":["Scott","M."],"suffixes":[]}],"month":"April","year":"2024","pages":"687–698","bibtex":"@inproceedings{givhan_analysis_2024,\n\ttitle = {Analysis of a {Vector} {Tracking} {Aided} {Synthetic} {CRPA} for {Spoofing} {Mitigation}},\n\turl = {http://www.ion.org/publications/abstract.cfm?jp=p&articleID=19629},\n\tdoi = {10.33012/2024.19629},\n\tabstract = {One of the best methods to detect and mitigate spoofing attacks involves using angle of arrival information from an antenna array; however, due to SWAPc concerns, CRPAs can be costly to field. 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The algorithm returns all consistent PVT solution combinations below a threshold; after, all candidate solutions are then used to generate correlations for the MUSIC algorithm. Finally, the angle of arrival information is then used to jointly estimate attitude and determine the spoofed solution by using a secondary RAIM algorithm. The true PVT solution is shown to be recoverable; additionally, the roll, pitch, and yaw are all estimated to within 2 degrees of error. Pointing vectors may also be estimated for spoofer localization.},\n\tlanguage = {en},\n\turldate = {2024-06-20},\n\tauthor = {Givhan, C. Anderson and Martin, Scott M.},\n\tmonth = apr,\n\tyear = {2024},\n\tpages = {687--698},\n}\n\n\n\n","author_short":["Givhan, C. A.","Martin, S. 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