电磁矢量传感器阵列相干和独立信号DOA估计

发布时间：2018-03-14 19:56

本文选题：电磁矢量传感器　切入点：极化状态　出处：《电子学报》2017年09期 　论文类型：期刊论文

【摘要】：本文研究利用矢量传感器阵列接收数据的高阶累计量区分独立和相干信号,进行参数估计.从矢量阵列信号高阶累积量任意数量的切片中估计多信号中的一个独立信号参数时,利用隔离向量选通目标信号,对其他信号进行隔离,提高了独立信号参数估计性能,信号源中可包含相干信号.独立信号的电场导向矢量与电磁导向矢量因垂直而内积为零,利用此关系可得到已虑除了所有独立信号的多个四阶累积量切片矩阵,相干信号存在于矩阵的信号子空间中.滤除独立信号估计相干信号参数,可提高相干信号参数估计性能.因可抑制任意方向,任意数量的独立干扰,即能抗饱和干扰,算法可作为电子对抗工具.仿真试验表明该方法有效.
[Abstract]:In this paper, we use the high order cumulant of vector sensor array to distinguish the independent signal from the coherent signal, and estimate the parameter of the independent signal from the slice of any number of high order cumulants of the vector array signal. The isolated vector is used to select the target signal, and the other signals are isolated, which improves the estimation performance of the independent signal parameters, and the coherent signal can be included in the signal source. The electric field guiding vector and the electromagnetic guiding vector of the independent signal have zero inner product due to their perpendicularity. By using this relation, we can obtain multiple fourth-order cumulant slicing matrices with the exception of all independent signals. The coherent signals exist in the signal subspace of the matrix, and the independent signals are filtered out to estimate the coherent signal parameters. The performance of parameter estimation of coherent signal can be improved. The algorithm can be used as an electronic countermeasure tool because it can suppress any independent interference in any direction or any number of independent interference. The simulation results show that the proposed method is effective.
【作者单位】：南京航空航天大学无人驾驶飞机研究院;
【分类号】：TN911.23;TP212

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