基于ES-DOA估计的室内非法信号源定位方法  

A kind of ES-DOA estimation based method for indoor illegal signal source localization

作　　者：陈章 施伟 刘斌[1] 周强 CHEN Zhang;SHI Wei;LIU Bin;ZHOU Qiang(The 63th Institute,National University of Defense Technology,Nanjing Jiangsu 210007,China)

机构地区：[1]国防科技大学第六十三研究所

出　　处：《太赫兹科学与电子信息学报》2019年第4期577-582,598,共7页Journal of Terahertz Science and Electronic Information Technology

基　　金：国家自然科学基金资助项目(61801497)

摘　　要：针对室内非法信号源定位应用的特点,提出一种基于到达方向(DOA)估计的无源定位方法。采用具有解相干能力的基于特征空间的到达角(ES-DOA)估计算法估计来波到达角度空间谱和对应的信号功率;采用一种新的直达路径集成搜寻算法判断信号的直达路径方向,并通过交叉测量法估计非法信号源的位置。仿真实验表明,ES-DOA算法在处理相干阵列信号时,具有高分辨力和较强的抗噪声能力,提出的直达路径识别算法能够在不同室内环境中准确识别信号的直达路径方向,具有较强的鲁棒性。研究证明,该定位方法具有较强的系统可实现性,既能单站定位,又可多站协同工作,部署方便,使用灵活,是一种有效的室内非法信号源定位解决方案。In recent years,the illegal signal source localization applications of the indoor environment have become rather significant to the public information security,radio management and anti-terrorism scenarios.However,the popular indoor positioning methods,such as fingerprint-based positioning technologies,are not able to deal with the illegal signals for lacking of the priori information.In this paper,a kind of Direction of Arrival(DOA)estimation based method for indoor illegal signal source localization is proposed.The received array data are processed by the Eigen Space DOA(ES-DOA)algorithm to obtain azimuth spectrum and signal power estimation.A novel direct-path recognition approach is proposed to identify the real bearing from the azimuth spectrum.The position of the illegal signal source could be estimated by multiple crossover measurements.The simulation result shows that the ES-DOA algorithm could reach high resolution and has strong anti-noise capability dealing with the coherent array signals,and the proposed direct-path recognition algorithm shows high reliability and robustness in different indoor environments.The realization of the proposed indoor illegal signal source positioning method is convenient and flexible that the deployment could be in single station mode or multiple stations mode.

关 键 词：室内定位 到达方向估计 基于特征空间的到达角估计算法 阵列天线 集成学习 

分 类 号：TN911.7[电子电信—通信与信息系统]