Affiliation:
1. School of Electronic Engineering, Xidian University, Xi’an 710071, China
2. China Research Institute of Radiowave Propagation, Qingdao 266107, China
Abstract
In this paper, a novel weighted block sparse method based on the signal subspace is proposed to realize the Direction-of-Arrival (DOA) estimation under unknown mutual coupling in the uniform linear array. Firstly, the signal subspace is obtained by decomposing the eigenvalues of the sampling covariance matrix. Then, a block sparse model is established based on the deformation of the product of the mutual coupling matrix and the steering vector. Secondly, a suitable set of weighted coefficients is calculated to enhance sparsity. Finally, the optimization problem is transformed into a second-order cone (SOC) problem and solved. Compared with other algorithms, the simulation results of this paper have better performance on DOA accuracy estimation.
Funder
Stable-Support Scientific Project of China Research Institute of Radiowave Propagation