纯方位跟踪问题研究及算法性能  

Analysis of Bearing-only Tracking Algorithm

作　　者：李晨[1] 韩崇昭[1] 娄越 朱洪艳[1] 

机构地区：[1]西安交通大学电子与信息工程学院,陕西西安710049 [2]中国船舶工业总公司,北京100000

出　　处：《火力与指挥控制》2007年第7期4-7,共4页Fire Control & Command Control

基　　金：国家重点基础研究发展规划(973)基金资助项目(2001CB309403)

摘　　要：针对纯方位跟踪系统的特点,对修正增益扩展卡尔曼滤波、伪线性滤波、基于无迹变换的卡尔曼滤波、修正球坐标系下的扩展卡尔曼滤波、直接对角度信息建模的卡尔曼滤波等被动目标跟踪算法予以详细的讨论,并在满足可比性的条件下,对各个跟踪算法进行了仿真实验,比较和分析了仿真结果,指出了修正增益扩展卡尔曼滤波的算法优势,对实际工程应用中算法选择问题提出了参考性建议。According to the characteristic of bearing-only tracking system, in this paper some typical algorithms for passive sensor tracking are presented in detail, such as the modified gain extended Kalman filtering, pseudo linear Kalman filtering, unscented Kalman filtering, extended Kalman filtering under modified Spherical Coordinates and Kalman filtering only by only angle information. And in the comparable condition, some simulation experiments are made to compare the various passive tracking algorithms, and based on analysis of the results, the advantages of the modified gain extended Kalman filtering are pointed out, which should be useful to the selection of algorithms in the application.

关 键 词：纯方位跟踪 被动式传感器 卡尔曼滤波 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]