Extended Aperture-based DOA Estimation of Coherent Sources Using a Electromagnetic Vector-sensor Array
基于电磁矢量阵列孔径扩展方法的相干目标DOA估计

An efficient algorithm for multiple coherent sources’ two-dimensional Direction Of Arrival (DOA) estimation with a sparse uniform rectangular array of electromagnetic vector sensor (EmVS) is proposed. The algorithm can improve the DOA estimation performance by increasing the intervector sensor spacing to achieve aperture extension. The Polarization Smoothing Algorithm (PSA) is coupled with the propagator method (PM) to acquire cyclically ambiguous DOA estimates. In order to disambiguate the cyclic phase ambiguities, a novel pre-processing method is derived by Covariance Matrix Averaging (CMA) and identify the true DOA estimates from a set of cyclically ambiguous candidate estimates based on the vector sensor steering vector’s characteristics. Comparing with the existing extended aperture-based direction finding method, the proposed algorithm can estimate the DOA of coherent sources, and requires no eigen-decomposition, hence, has a lower computational complexity. Monte-Carlo simulations are presented to verify the effectiveness of the proposed algorithm.