Direction finding based on single channel array using block-sparse recovery
Hao Li, Xu Xu, Zhongfu Ye · 2015
A new method of direction finding based on the single channel array is proposed. By calculating the output average powers for different weight vectors, a sparse representation model on covariance vectors is constructed. The direction finding problem is converted into an error-based block-sparse recovery problem, which can be efficiently solved by the method of sparse recovery. Compared with the existing methods of covariance matrix recovery and sparse recovery, the proposed method can resolve both uncorrelated and coherent signals, as well as obtaining better accuracy. Simulation results demonstrate the effectiveness and efficiency of the proposed method.