COMPRESSED SENSING BASED JOINT DOA AND POLARIZATION ANGLE ESTIMATION FOR SPARSE ARRAYS WITH DUAL-POLARIZED ANTENNAS
Batu Krishna Chalise, Yimin Daniel Zhang, Braham Himed · 2018
In this paper, a compressed sensing (CS)-based joint estimation of direction of arrival (DoA) and polarization parameters is proposed using a sparse array consisting of dual-polarized antenna elements. Since this joint estimation with the CS as well as conventional subspace based methods turn out to be computationally prohibitive, we propose a novel method so that DoAs can be accurately estimated using the proposed CS algorithm, whereas the polarization parameters can be estimated utilizing the estimated DoAs and the least-squares method. We verify that the proposed method can accurately resolve both the DoAs and polarization parameters of much more uncorrelated sources than the number of sparse array sensors.