粒子滤波算法在信号源定位中的应用研究  

Application Research on Particle Filtering Algorithm in Signal Source Positioning

作　　者：江春冬[1] 卢茹[1] 杜太行[1] 王金伟[1] 

机构地区：[1]河北工业大学控制科学与工程学院,天津300130

出　　处：《自动化仪表》2014年第7期18-21,共4页Process Automation Instrumentation

基　　金：工信部合作资金资助项目(编号:12-MC-KY-14)

摘　　要：为提高移动监测车对无线电干扰源定位的精度,将非线性非高斯系统中的粒子滤波方法应用于静态的无线电信号的测向定位,通过对车的坐标、信号到达角度的测量来估计目标的状态。首先建立波达角(AOA)定位的数学模型,然后推导了基于粒子滤波的定位算法,最后在Matlab平台对粒子滤法算法的定位精度进行了仿真分析。仿真验证了该算法的可行性。In order to improve the positioning accuracy of radio interference source conducted by mobile monitoring vehicle, the particle filtering method in nonlinear and non-Gaussion systems is applied in direction finding and positioning of radio signals. Through measuring the coordinates of the vehicle and the angle of arrival （AOA） of signal, the state of target is estimated. Firstly, the mathematical model of AOA positioning is established, then the positioning algorithm based on particle filtering is derived, and the simulation analysis of the positioning accuracy is conducted under Matlab platform and the feasibility is verified.

关 键 词：信号源定位 粒子滤波 非线性 波达角 数学模型 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]