Transactions of Nanjing University of Aeronautics & Astronautics
Blind Joint DOA and Polarization Estimation for Polarization Sensitive Coprime Planar Arrays via a Fast-Convergence Quadrilinear Decomposition Approach
- Article
- Figures
- Metrics
- Preview PDF
- Reference
- Related
- Cited by
- Materials
Abstract:
The problem of joint direction of arrival （DOA） and polarization estimation for polarization sensitive coprime planar arrays （PS-CPAs） is investigated， and a fast-convergence quadrilinear decomposition approach is proposed. Specifically， we first decompose the PS-CPA into two sparse polarization sensitive uniform planar subarrays and employ propagator method （PM） to construct the initial steering matrices separately. Then we arrange the received signals into two quadrilinear models so that the potential DOA and polarization estimates can be attained via quadrilinear alternating least square （QALS）. Subsequently， we distinguish the true DOA estimates from the approximate intersecting estimations of the two subarrays in view of the coprime feature. Finally， the polarization estimates paired with DOA can be obtained. In contrast to the conventional QALS algorithm， the proposed approach can remarkably reduce the computational complexity without degrading the estimation performance. Simulations demonstrate the superiority of the proposed fast-convergence approach for PS-CPAs.
Keywords:
Project Supported:
Clc Number:
TN925
Mobile website
