High-resolution direction-of-arrival estimation using Khatri-Rao product and spatial sparsity of sources
Shanshan Ding, Ningning Tong, Qichao Ge · 2016
Algorithms based on Khatri-Rao (K-R) product improve the degree of freedom (DOF) of virtual arrays and thus more source angles can be estimated.However, the estimation accuracy is not satisfying.In this paper, a method considering spatial sparsity (SS) of sources in K-R subspace is proposed to estimate direction-of-arrival (DOA) angle.The spurious signal of the virtual array is obtained in K-R subspace and then the DOA angle estimation is finally equal to the solution of a convex optimization problem.In the proposed K-R SS method, high estimation accuracy is achieved by taking advantage of the cross-covariance matrix information.Simulation results demonstrate the effectiveness of the proposed method.