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。
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.
出处
《电子与信息学报》
EI
CSCD
北大核心
2002年第7期872-878,共7页
Journal of Electronics & Information Technology
基金
电科院预研经费资助项目
