A compressed sensing based sensor selectioi algorithm for DOA estimation
Linghao Zeng, Jing Liu, Chongzhao Han · 2017
This paper presents a compressed sensing based sensor selection algorithm for direction-of-arrival estimation, in a large scale randomly distributed sensor array. First, a target tracker is employed for the prior information of target position. Second, according to the prior information, we reduce rank of sensing matrix by narrowing the interesting area. Third, a linear independence combination of sensors is utilized to represent the whole sensor array through eigendecomposition. Finally, the statistic and dynamic simulations are carried out, which demonstrate the feasibility of the proposed algorithm.