摘要
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。
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.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2012年第1期83-88,共6页
Acta Armamentarii
基金
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)
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
radar engineering
Particle filter
artificial fish swarm algorithm
particle swarm optimization
glint noise
target tracking
