Doa Estimation Algorithm Based on the Co-Sparse Characteristic of Signal and Noise with Low Complexity
Qin He, Ziyang Cheng, Zhihang Wang, Zishu He · IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium · 2022
In the paper, we propose a new direction-of-arrival (DOA) estimation algorithm with low complexity. With the assumption of the independent noise, we analyze the sparse structure of the noise covariance matrix. Then, we address the sparse recovery optimization problem by using the co-sparse characteristic of signal and noise. Numerical simulation results verify the efficiency and advantage of the proposed method compared with some other existing sparse methods.