基于稀疏非均匀COLD阵列的极化信号DOA估计

基于稀疏非均匀COLD(concentered orthogonal loop and dipole)阵列,提出了一种极化信号的DOA(direction-of-arrival)无模糊估计算法.该算法利用了稀疏非均匀COLD阵列的阵元数少和孔径大等特点,因而在阵元数目一定的情况下,可获得较高的DOA估计精度.由于稀疏非均匀COLD阵列可分成电磁环和偶极子两个子阵列,通过分析每个子阵列DOA估计的模糊性,给出了整个稀疏非均匀COLD阵列不发生DOA估计模糊的条件.通过计算机仿真证明了该算法的有效性.

DOA estimation of polarization signals based on sparse and nonuniform COLD array

Based on a sparse and nonuniform concentered orthogonal loop and dipole(COLD) array,an algorithm of estimating polarization signals' direction-of-arrival(DOA) without ambiguity is proposed.Because of exploiting the characteristics of the sparse and nonuniform COLD array,such as the big array aperture and the little number of sensors,the proposed algorithm has higher DOA resolution in case the number of sensors is limited.Since the COLD array is divided into loop subarray and dipole subarray,the ambiguity of estimating DOA based on each subarray is analyzed.Thus,the condition of DOA estimation without the ambiguity is presented based on a sparse and nonuniform COLD array.The validity of the proposed algorithm is testified via simulations.