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提出一种采用可分离谱加权的网络故障信源分析方法,通过对多传感器网络的信源阵列信号慢变幅度估计,实现故障节点方位波束形成。建立多传感器网络系统模型,基于半波长间隔均匀分布线阵列进行网络故障信源建模。设计网络故障源空域滤波器来消除毗邻节点干扰,采用可分离谱加权方法实现故障源慢变幅度估计。仿真实验表明,该算法进行故障信源慢变幅度估计的精度较高,能准确实现对故障路由节点的方位估计,精度提高17.8%。
In this paper, a method of analyzing network fault sources based on separable spectrum weight is proposed. Through the slow amplitude estimation of signal source array signals in multi-sensor networks, the azimuth beam forming of fault nodes is realized. The multi-sensor network system model is established, and the network fault source modeling is carried out based on the uniform distribution of line arrays at half-wavelength intervals. The network failure source space filter is designed to eliminate the interference of adjacent nodes, and the separable spectrum weighting method is used to estimate the slowly varying amplitude of the fault source. The simulation results show that the proposed algorithm can accurately estimate the slowly varying amplitude of fault sources, and can accurately estimate the azimuth of the failed nodes with an accuracy of 17.8%.