欢迎访问《兵工学报》官方网站,今天是 分享到:

兵工学报 ›› 2012, Vol. 33 ›› Issue (1): 83-88.doi: 10.3969/j.issn.1000-1093.2012.01.014

• 研究简报 • 上一篇    下一篇

一种新的混合智能粒子滤波算法在雷达机动目标跟踪中的应用

陈志敏, 薄煜明, 吴盘龙, 陈沁欣   

  1. (南京理工大学 自动化学院, 江苏 南京 210094)
  • 收稿日期:2010-12-16 修回日期:2010-12-16 上线日期:2014-03-04
  • 作者简介:陈志敏(1986—),男,博士研究生
  • 基金资助:
    国防重点预研资助项目(40405020201);高等学校博士学科点专项科研基金资助课题(200802881017);南京理工大学自主科研专项计划自主项目(2010ZYTS051);南京理工大学紫金之星基金资助项目(AB41381)

A New Hybrid Algorithm for Particle Filtering and Its Application to Radar Target Tracking

CHEN Zhi-min, BO Yu-ming, WU Pan-long, CHEN Qin-xin   

  1. (School of Automation, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China)
  • Received:2010-12-16 Revised:2010-12-16 Online:2014-03-04

摘要: 标准粒子滤波算法的精度不高,鲁棒性差标准粒子滤波算法的精度不高,鲁棒性差难以满足雷达目标跟踪的要求。本文提出了一种新的适用于雷达目标跟踪的智能粒子滤波算法,在粒子滤波中先利用人工鱼群的全局收敛性找到满意的解域,再利用粒子群算法引导粒子向高斯然区域移动,提高滤波精度。仿真表明该算法可以在强闪烁噪声下有效地跳出局部最优,搜索到理想的粒子最优值,提高雷达机动目标跟踪的精度。

关键词: 雷达工程, 粒子滤波, 人工鱼群算法, 微粒群算法, 闪烁噪声, 目标跟踪

Abstract: Particle filter has the defects of low precision and weak robustness, it is not able to meet the requirement of radar target tracking . To solve these problems, a new particle filter algorithm based on Hybrid algorithm is proposed. It looked for satisfactory solution space with artificial fish swarm algorithm and made the particles move to the high likelihood region under the action of particle swarm optimization algorithm. By doing simulation under glint noise environment, the results show that this algorithm can jump local optimum to search the best value of particle, it improves the precision of radar target tracking under glint noise environment.

Key words: radar engineering, Particle filter, artificial fish swarm algorithm, particle swarm optimization, glint noise, target tracking

中图分类号: