DoA Estimation Based on Matrix Preconditioning Through Sparse Reconstruction in Impulsive Noise
ZHAO Jihong①② MA Zhaotian① QU Hua② WANG Weihua②
①(Communication and Information Engineering, Xi'an University of Posts, Xi’an 710061, China) ②(Department of Information and Communication Engineering, Xi'an Jiaotong University, Xi’an 710054, China)
Abstract：Sparse reconstruction method suffers severe degradation in presence of impulsive noise. To deal with this problem, this paper proposed a DoA estimation method based on polynomial matrix preconditioning through sparse reconstruction. Based on the sparse reconstruction, multiply the covariance function and the direction vector by Polynomial preprocessing, which can reduce the distribution matrix of singular values, improve singular value ratio, and exhibit better sparsity. Simulation results demonstrate that the proposed algorithm achieves accurate DoA in coherent and incoherent signal sources under impulsive noise, especially have high accuracy and robustness in the heavy impulsive noise.
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