Space time smoothing algorithm for DOA estimation of coherent signals
Zhoupeng Ding, Hongtao Li, Qi Kuang, Chunbao Xu · 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) · 2022
When the coherent signal received by the array is in low signal-to-noise ratio (SNR), the DOA estimation performance is greatly descended. To solve this problem, a method of reconstructing the received data matrix by using the subarray space-time correlation matrix is proposed (STSS). By making full use of the strong correlation of signal in time domain and space domain, a subarray space time correlation matrix is constructed to suppress noise. Theoretical analysis and statistical results show that the proposed method improves the estimation performance of DOA under low SNR. The proposed method has lower SNR; Even when the number of snapshots is small and the angle between coherent sources is close, it has better estimation performance than other classic methods.