Two-Dimensional Off-Grid DOA and Polarization Parameter Estimation for Parallel Coprime Polarization Sensitive Array

Abstract

For the two-dimensional (2-D) spatial angle and polarization parameter estimation problem of spatial electromagnetic signals, a 2-D off-grid DOA and polarization parameter estimation algorithm based on dual parallel coprime polarization sensitive array (PCPSA) is proposed. The algorithm applies a PCPSA to receive signals, constructs a novel cross-covariance matrix according to the characteristics of the received data, and then transforms the four-dimensional parameter estimation to four one-dimensional parameter estimation by extending the virtual domain of this cross-covariance matrix, which effectively reduces the computational complexity while achieving underdetermined parameter estimation. In addition, in order to further improve the parameter estimation accuracy, the proposed algorithm introduces a off-grid model and estimates the grid bias by applying the orthogonality of the signal subspace and the noise subspace, which reduces the inherent bias brought by the preset grids and achieves the improvement of parameter estimation performance. The simulation experiments show the effectiveness of the algorithm and the better parameter estimation performance compared with the on-grid algorithm.

Keywords

• |parallel coprime polarization sensitive array|2-d off-grid doa estimation|polarization parameter estimation|virtual domain extension