电讯技术2016，Vol.56Issue(12)：1370-1375,6.DOI:10.3969/j.issn.1001-893x.2016.12.012
基于人工鱼群粒子滤波的信号源定位
Signal Source Location Based on Artificial Fish School Particle Filter Algorithm
摘要
Abstract
A signal source location method based on artificial fish school particle filter algorithm is proposed to solve the problem of the low precision of particle filter. It employs the optimization idea of artificial fish school algorithm and uses the alternation of behaviors of preying and swarming,which makes particles move towards the optimum area,so particle distribution is improved. Then the mathematical model of angle of ar-rival( AOA) location is established according to the need of mobile monitoring vehicles for target location. Finally,the simulation analysis of signal source location based on artificial fish school particle filter algo-rithm is conducted under Matlab environment. Experimental results show that the maximum error of loca-tion results of the proposed method is 0. 101% on the premise of real-time need,and the location accuracy of the proposed method is better than that of particle filter. It is an effective and feasible location method.关键词
移动监测车/信号源定位/粒子滤波/人工鱼群算法/波达角Key words
mobile monitoring vehicle/signal source location/particle filter/artificial fish school algorithm/angle of arrival( AOA)分类
信息技术与安全科学引用本文复制引用
杜太行,赵黎媛,江春冬,于晗..基于人工鱼群粒子滤波的信号源定位[J].电讯技术,2016,56(12):1370-1375,6.基金项目
工业和信息化部课题(12-MC-KY-14) （12-MC-KY-14）
