脉冲噪声环境下混沌扩频时延估计算法研究  

Research on chaotic time delay estimation method in Alpha stable distributed noise environment

作　　者：邢毓华[1,2] 顾力铭 Xing Yuhua;Gu Liming(School of Automation and Information Engineering,Xi'an University of Technology,Xi'an 710048,China;Xi'an Key Laboratory of Wireless Optical Communication and Network Research,Xi'an 710048,China)

机构地区：[1]西安理工大学自动化与信息工程学院,西安710048 [2]西安市无线光通信与网络研究重点实验室,西安710048

出　　处：《电子测量与仪器学报》2023年第3期230-237,共8页Journal of Electronic Measurement and Instrumentation

摘　　要：针对传统时延算法面对脉冲噪声时运算结果峰值旁瓣比较低,且存在误判点较多难以判断的问题,提出了一种新型加权高斯相关熵时延估计方法,并将该方法应用于电缆故障定位的仿真模型中。仿真结果表明,与现有的方法相比,不仅可以在脉冲噪声环境下获得良好的时延估计效果,而且在强脉冲噪声干扰下依旧能够保持较高的定位精度。在不同强度的脉冲噪声背景下,其运算结果相比其他3种方法主峰值旁瓣比绝对值增加0.0203 dB以上,误判峰值与故障点峰值比减少了0.0539以上,均方值误差减少了1.8636 m以上。In order to solve the problem that the peak sidelobe of the traditional time delay algorithm is relatively low when it faces impulse noise,and there are many false positives that are difficult to judge,a new weighted Gaussian correlation entropy time delay estimation method is proposed and applied to the simulation model of cable fault location.The simulation results show that,compared with the existing methods,it not only obtains a good time delay estimation effect in the impulsive noise environment,but also maintains a high positioning accuracy in the strong impulsive noise interference.In the background of pulse noise with different intensities,the calculation results show that compared with the other three methods,the absolute value of the main peak to side lobe ratio increases by more than 0.0203 dB,the ratio of misjudged peak to fault point peak decreases by more than 0.0539,and the mean square error decreases by more than 1.8636 m.

关 键 词：时延估计 脉冲噪声 相关熵 电缆故障定位 

分 类 号：TN98[电子电信—信息与通信工程]