A DOA Estimation Method for Coherent Signals Based on Weighted l1-SVD
Chuniie Niu, Tingting Lv, Yulong Liu, Xinyuan Wang, Jiaxi Jin · 2023
The study of Direction of Arrival (DOA) estimation aims to obtain the spatial domain parameters of the target signal through the analysis of the array received data, and then complete the target signal location. Aiming at the correlation and even coherent signals caused by multipath propagation and same-frequency interference caused by complex propagation environment, this paper will be based on the traditional$l$1-SVD algorithm in Compressive Sensing, and on this basis, the existing weighted$l$1- SVD Dalgorithm is improved. Aiming at the problem that the existing weighted$l$1- SVD algorithm can not directly estimate the coherent signals, a new weighted matrix is proposed after Toeplitz pretreatment, so that the improved weighted$l$1- SVD algorithm can be used to estimate the DOA of the coherent signals. At the same time, DOA estimation of two close coherent signals can be completed under the condition of low signal-to-noise ratio, low fast beat number and small Angle interval. The simulation results show that the improved weighted$l$1- SVD algorithm has higher estimation accuracy and resolution, and solves the problem that the existing weighted$l$1- SVD algorithm cannot directly estimate the coherent signal.