基于非线性滤波算法的目标跟踪技术比较研究  

Comparative study of nonlinear filtering algorithms in target tracking

作　　者：葛田[1] 陶庆[1] 

机构地区：[1]芜湖职业技术学院网络工程学院,安徽芜湖241000

出　　处：《芜湖职业技术学院学报》2016年第3期63-66,共4页Journal of Wuhu Institute of Technology

基　　金：2015年度芜湖职业技术学院校级科研立项项目(Wzyzr201506);2014年度安徽省质量工程项目(2014zy090);2012年度安徽省质量工程教研项目(2012jyxm645)

摘　　要：随着科技的进步,目标定位与跟踪算法已经广泛的应用于无线、航空、航海等领域,诸如汽车主动安全、手机定位技术等等。常见目标跟踪技术其实就是基于监控设备的定位预测过程。但由于现实中目标的运动轨迹不可控,传统滤波算法往往无法得到准确的结果。所以近年来跟踪技术开始研究在非线性系统中的滤波跟踪,如扩展kalman滤波、粒子滤波算法等。本文梳理了跟踪滤波技术的最新研究进展,研究了复杂环境中利用非线性滤波算法进行补偿的滤波模型建立与分析。with the progress of science and technology, target location and tracking algorithm has been widely used in wireless, aviation, navigation and other fields, such as automotive active safety, mobile phone positioning technology and so on. Common target tracking technology is actually based on monitoring equipment positioning prediction process. However, due to the fact that the trajectory of the target is not controlled, the traditional filtering algorithm can not get accurate results. So tracking technology in recent years began to study the filtering tracking in nonlinear systems, such as extended Kalman filter, particle filter algorithm, etc.. In this paper, the latest research progress of tracking filtering technology is studied, and the filtering model of the nonlinear filtering algorithm in complex environment is studied.

关 键 词：非线性滤波 粒子滤波 KALMAN滤波 扩展卡尔曼滤波 无迹卡尔曼滤波 

分 类 号：TP37[自动化与计算机技术—计算机系统结构]