A novel GNSS interference suppression and DOA estimation processing system
Xiaodong Yuan, Jianwei Wan, Cheng Zhu, Haitao Liu, Gang Li · 2011
A novel processing system is proposed for the Global Navigation Satellite Systems (GNSS) anti-interference application in this paper. The proposed system utilizes the low complexity adaptive algorithm for interference suppression and Direction-of-Arrival (DOA) estimation. Several groups of linear uncorrelated steady-state weights were respectively produced from utilizing different reference signals in the adaptive anti-interference algorithm, and the spatial spectrum was constructed with the steady-state weights instead of the noise subspace. It is confirmed by the practical test that the proposed system can suppress interference and estimate DOAs of interference signals very effectively with low complexity.