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DLR publication server
Conference object . 2016
https://doi.org/10.33012/2016....
Article . 2016 . Peer-reviewed
Data sources: Crossref
DLR publication server
Conference object . 2016
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Direction-of-Arrival Assisted Sequential Spoofing Detection and Mitigation

Authors: Meurer, Michael; Konovaltsev, Andriy; Appel, Manuel; Cuntz, Manuel;

Direction-of-Arrival Assisted Sequential Spoofing Detection and Mitigation

Abstract

The paper presents several novel techniques for detection of spoofing/meaconing signals using the direction-of-arrival (DOA) measurements available in a multi-antenna navigation receiver. The detection is based on comparison and statistically testing of the measured DOAs against the expected DOAs. The expected DOAs are computed in the receiver using the almanac and ephemeris. The attitude of the antenna array is assumed to be unknown and therefore has to be estimated as part of a joint spoofing detection/estimation problem. It is shown that the statistics of the DOA estimation error for a signal heavily depends on the elevation of the relevant satellite in the local antenna coordinate system. Therefore, an extended technique for joint spoofing detection and attitude estimation is proposed which incorporates signal and elevation specific statistical information about DOA errors. The performance of the new approach is analyzed through simulations. An extension of the developed snapshot based approach to a sequential approach is proposed. It is shown that new sequential techniques offer great potential for increasing the performance of joint spoofing detection and attitude estimation compared to snapshot based techniques while at the same time the complexity can be significantly reduced.

Country
Germany
Related Organizations
Keywords

Spoofing, GNSS, Attitude Estimation, GPS, Kalman Filter, Navigation, Direction of Arrival

  • BIP!
    Impact byBIP!
    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    27
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Average
Green