采用可分离谱的网络故障源慢变幅度估计

Slowly Varying Amplitude Estimation of Network Fault Source Signal Based on Split Spectrum

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%。

The slowly varying amplitude estimation of network fault source signal is proposed based on split spectrum weighting, the source array signal of multi sensor network slowly varying amplitude estimation is taken, and fault nodes directional beam forming is realized. Multi sensors network system is established based on the model, the half wavelength intervals linear array is used to construct the fault source mod- el. The network fault source spatial filter is designed to eliminate interference with adjacent nodes, and separable weighted spectrum method is used for fault source of slowly varying amplitude estimation. Simulation results show that, the new method has high precision for fault source slowly varying amplitude estimation, it can accurately realize the fault routing node position estimation, and the positioning accuracy is im- proved by 17. 8%. It has good value in the application of accurate location of network routing nodes.