CAJ | 학술논문

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。
위제고이동감측차대무선전간우원정위적정도，장비선성비고사계통중적입자려파방법응용우정태적무선전신호적측향정위，통과대차적좌표、신호도체각도적측량래고계목표적상태。수선건립파체각( AOA)정위적수학모형，연후추도료기우입자려파적정위산법，최후재Matlab평태대입자려법산법적정위정도진행료방진분석。방진험증료해산법적가행성。
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.