The estimate for DOAs of signals using sparse recovery method
Dongyang Xu, Nan Hu, Zhongfu Ye, Ming Bao · 2012
This paper presents a new direction-of-arrival (DOA) estimation method using the concept of sparse representation of an array cross-correlation vector (ACCV), in which DOA estimation is achieved by finding the sparse parameter vector according to an optimization criterion. Compared with other sparse recovery algorithms the proposed method achieves a higher resolution and has a less computational complexity. The performance of our method is demonstrated and analyzed through numerical simulations.