宽频段空间信号频率、二维到达角和极化联合估计
Joint estimation of frequencies, two-dimensional AOAs and polarization for spatial broad-band signals
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摘要: 在空间欠采样的条件下,通过巧妙定义稀疏L型阵列的四阶累积量输出矩阵,利用高阶累计量的盲高斯及阵列扩展特性,实现了宽频段空间非高斯信号频率、到达角和极化估计的分离,给出了一个基于四阶累积量 ESPRIT和整数搜索解模糊的任意高斯噪声环境下多个独立空间信号频率、二维到达角和极化的联合估计算法,L型阵列由和坐标轴方向一致的偶极子对组成,数值模拟结果证实了该文方法的有效性。Abstract: Under the condition of spatial subsampling, with flexible definition of fourth-order cumulant matrix of L-shaped array antennas output, utilizing the blind Gaussian and aperture extension properties of high-order cumulant, the estimation of frequency and two-dimensional(2D) Angles Of Arrivals (AOAs) are separated from the estimation of polarization of spatial non-Gaussian broad-band signals. An algorithm based on fourth-order cumulant ESPRIT and integral search is proposed to jointly estimate the parameters in multi-signal and arbitrary Gaussian noise environment. The array antennas are consisted of crossed dipoles that are parallel to the coordinate axes. Numerical simulation results verify the feasibility of this method.
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