DOA Estimation Algorithm Based on Extension and Shift of Sparse Polarization Sensitive Array
ManLing Yang, Guoqiang Guo, YinHe Huang, Yuze Sun · 2022 7th International Conference on Signal and Image Processing (ICSIP) · 2022
Direction of arrival estimation (DOA) has achieved much attention in array signal processing. To solve the problem of fewer virtual array elements obtained by using second-order accumulation for conventional Gaussian-type signals, an expansion and shift (EAS) scheme based on the fourth-order cumulant is proposed in this paper. First, to obtain as many virtual array elements as possible, the fourth-order cumulant sparse polarization sensitive array composed of two subarrays as small as possible is utilized in the algorithm. Then, the extended covariance matrix array generated by the fourth-order cumulant sparse array is introduced. Finally, the DOA is calculated by the method of matrix eigenvalue decomposition and multiple signal classification (MUSIC). This method can reduce the number of receiving array elements required in the signal detection process and improve the distortion of DOA estimation under underdetermined cases. Moreover, it can also accurately display the targets DOA in the condition that the targets DOA is close and a large power difference exists. As such, the effectiveness of the proposed method is successfully verified by simulation analysis.