Sparsity-Based DOA Estimation of Coherent and Uncorrelated Targets with Co-Prime MIMO Radar
Junpeng Shi, Guoping Hu, Hao Zhou, Xiaofei Zhang · 2018
This paper considers the direction of arrival (DOA) estimation of coherent and uncorrelated targets with the co-prime multiple input multiple output (MIMO) radar. We first build a co-prime MIMO configuration using the prototype co-prime array, where the expressions for the range of consecutive lags and the number of unique lags are derived. Then, to fully utilize these unique lags, we propose a reduced-complexity two-step sparse representation (SR) algorithm. By modifying and removing the off-diagonal elements of the estimated target covariance matrix, the proposed method can just identify the diagonal ones, thereby leading to further improved performance with much lower computational complexity. Simulation results verify the effectiveness of proposed method.