基于红外传感器方位跟踪算法的性能分析  

Exploring Performance Analysis of Bearings-Only Tracking Algorithms for Infrared Guidance System

作　　者：李伟[1,2] 羊彦[2] 侯静[2] 

机构地区：[1]中航工业西安飞行自动控制研究所,陕西西安710065 [2]西北工业大学电子信息学院,陕西西安710129

出　　处：《西北工业大学学报》2014年第3期388-393,共6页Journal of Northwestern Polytechnical University

摘　　要：针对项目需要,研究了当毫米波雷达/红外双模导引系统中的雷达系统不可用时,仅通过红外传感器的目标角度信息进行纯方位跟踪的卡尔曼滤波算法以提高系统的抗干扰能力。文中分析了扩展卡尔曼滤波器、伪线性估计器和基于修正球坐标系滤波器3种滤波方法用于解决此类问题的特点,并以纯方位跟踪的观察数据对上述算法进行了仿真。结果表明:扩展卡尔曼滤波器是一种不稳定的算法,在许多情况下是发散的;伪线性估计器稳定性较好,但产生的估计是有偏的;基于修正球坐标滤波解决了跟踪不稳定性问题,估计效果相对较好,具有一定的工程应用意义。For a dual model guidance system integrated by millimeter wave radar and infrared sensor （ MMW/IR） , the bearings-only tracking （ BOT） based on IR can effectively maintain the guidance when the MMW becomes inva-lid due to the faults and interferences. Sections 1 through 3 of the full paper explain the exploration mentioned in the title, which we believe is new and indicates that we have succeeded in obtaining better results than those obtainable with existing methods. The core of these sections consists of：the modeling of BOT problem;the design of three dif-ferent algorithms for solving the BOT problem：extended Kalman Filter （ EKF） , pseudo linear estimate （ PLE） and modified spherical coordinates （ MSC） based Kalman Filter. We simulate and compare the errors of position, veloc-ity, pitch angle, yaw angle and the convergence performance of these three algorithms respectively. The simulation results, given in Figs.2 to 5 and the Tab. 1, and their analysis show preliminarily that：（1） the convergence rate of PLE is faster, but its position and velocity estimation are biased and the attitude accuracy is lower than the two oth-er methods;（2） the EKF and MSC methods have nearly the same convergence rate, but the MSC method achieves higher accuracy; （3） the convergence performance of PLE and MSC methods are significantly better than EKF. Thus the results indicate that the MCS based Kalman Filter is more effective for solving the BOT problem in a prac-tical MMW/IR integrated guidance system.

关 键 词：数据融合 纯方位跟踪 目标运动分析 卡尔曼滤波 

分 类 号：TN955.1[电子电信—信号与信息处理]