隧道高分辨率无源动目标定位研究及其仿真实验  

Research and Simulation of High Resolution Passive Moving Target in Tunnel

作　　者：张晓光[1] 杨悦[1] 王艳芬[1] 孙彦景[1] ZHANG Xiaoguang;YANG Yue;WANG Yanfen;SUN Yanjing(School of Information and Control Engineering,China University of Mining and Technology,Xuzhou 221116,Jiangsu,China)

机构地区：[1]中国矿业大学信息与控制学院,江苏徐州221116

出　　处：《实验室研究与探索》2018年第10期117-122,150,共7页Research and Exploration In Laboratory

基　　金：2017年江苏省研究生教育教学改革项目(JGLX17_075);中国矿业大学名师培育项目(MSCC0014);中国矿业大学教改项目(2016YB16)

摘　　要：结合我校通信原理、现代通信系统等课程,设计了通信系统综合实验的一个拓展内容——隧道高分辨率无源动目标定位研究及其仿真实验。精确无源动目标定位是隧道、矿井巷道等复杂地下空间人员安全、灾后及时施救的关键技术之一。为了克服隧道内的ns级密集多径和背景噪声,提出一种基于TOA/DOA参数估计的隧道高分辨率无源动目标定位方法。给出最小范数强干扰抑制方法,在低信噪比条件下抑制直达波和静物回波多径干扰;提出RMCHS参数估计算法,在低信噪比条件下进行高分辨率的TOA/DOA参数估计,实现基于TOA/DOA参数估计的隧道高分辨率无源动目标定位。仿真实验表明,提出的强干扰抑制方法和RMCHS算法在隧道/巷道环境下有很强的鲁棒性,显著优于比较算法,减小了噪声和ns级密集多径对算法性能的影响。For courses of communication principle and modern communication system,we have designed an expanding content of the comprehensive experiment of communication system--the research and simulation of high resolution passive moving target location.The accurate passive moving target localization is one of the key technologies for the security and rescue of the people in the complex underground space,such as tunnels,mine tunnels.In this paper,to overcome nanosecond dense multipath and background noise in tunnel,a method is proposed based on TOA/DOA parameter estimation for high resolution passive mobile target localization.A method of minimum norm strong interference suppression is given to suppress multipath interference of direct and static echo under low signal to noise ratio;RMCHS(Root Min-norm based on Cross High-order Specture)algorithm is proposed.The RMCHS algorithm can be used to estimate the TOA/DOA parameters with high resolution at low SNR,so the high resolution passive moving target localization based on TOA/DOA parameter estimation is achieved.Simulation results show that the proposed strong interference suppression method and the RMCHS algorithm have strong robustness in tunnel.The proposed method is significantly better in comparison with the traditional algorithms.The influence of noise and nanosecond dense multipath on the performance of the algorithm is reduced.

关 键 词：隧道 移动目标 无源定位 干扰抑制 TOA/DOA参数估计 

分 类 号：TN92[电子电信—通信与信息系统]