Robust Joint Multi-Antenna Spoofing Detection and Attitude Estimation using Direction Assisted Multiple Hypotheses RAIM

Abstract

The paper presents an approach 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 information while performing the estimation of the user position. The attitude of the antenna array is assumed to be unknown and therefore has to be estimated as well. Consequently, the detection of spoofing/meaconing signals using this approach is treated as a joint detection/estimation problem. The solution to this problem is described in this paper. In addition, the performance of the proposed approach is analyzed through simulations in exemplary artificial scenarios and by processing real DOA measurement data collected during measurement campaigns.