Application of Steering Vectors Rotation Invariance in DOA Estimation with Mutual Coupling
Zhen Chuan Song, Changjun Yu, Aijun Liu, Linwei Wang, Shuai Shao, Hongbo Li · 2021 CIE International Conference on Radar (Radar) · 2021
The mutual coupling phenomenon between the array elements adversely affects the mutual position estimation in a uniform linear array (ULA). Inspired by the idea of ESPRIT, a novel direction of arrival (DOA) estimation algorithm based on the rotation invariance of the modified steering vectors is proposed to estimate DOAs under mutual coupling error by blind signal separation (BSS). The algorithm denoise at the beginning with the help of the signal subspace. To estimate the modified steering vector, a BSS algorithm named Joint Approximate Diagonalization of Eigenmatrices (JADE) is presented. Finally, the rotation invariance between particular elements of the modified steering vector can be used to estimate the DOAs. The proposed algorithm only needs to solve several one-variable equations to obtain the DOA estimates, which reduces the amount of calculation. The simulation results show that the algorithm can obtain more accurate estimates under the condition of low SNR.