基于三分量电磁矢量传感器的波达角和极化参数估计

Joint DOA and polarization parameters estimation based on three-component electromagnetic vector sensor

针对传统的降维四元数旋转不变子空间算法(Dimension Reduction Quaternion Estimation of Signal Parameters via Rotational Invariance Techniques,DRQ-ESPRIT)存在"四元数模型相干"和孔径损失问题,改进了DRQ-ESPRIT算法,并提出了伪虚拟对称扩展孔径四元数旋转不变子空间算法(Fake Virtual Symmetrical Aperture Expansion Quaternion Estimation of Signal Parameters via Rotational Invariance Techniques,FVSAEQ-ESPRIT).所提算法通过修正极化角度域导向矢量和阵元空间相移矢量的乘法顺序,解决了"四元数模型相干"问题,并利用导向矢量的虚拟对称操作和Khatri-Rao子空间方法,增加了极化敏感阵列的自由度,提高了波达角(Direction of Arrival,DOA)和极化参数的估计精度.最后,仿真实验验证了所提算法的有效性.

The dimension reduction quaternion estimation of signal parameters via rotational invariance techniques（DRQ-ESPRIT）algorithm has＂quaternion model coherence＂and aperture loss problems.The fake virtual symmetrical aperture expansion Q-ESPRIT（FVSAEQ-ESPRIT）algorithm is proposed to improve the DRQ-ESPRIT algorithm in this paper.The proposed algorithm solves the＂quaternion model coherence＂problem by switching the multiplication sequence between the electromagnetic expression and spatial steering vector.Meanwhile,symmetrical operation of steering vector and Khatri-Rao subspace process are utilized to increase the degrees of freedom of the polarization sensitive array,so that the estimation accuracy of direction of arrival（DOA）and polarization parameters is improved.Finally,the simulation results show the effectiveness of the proposed algorithm.