现代雷达2018，Vol.40Issue(4)：55-60,6.DOI:10.16592/j.cnki.1004-7859.2018.04.012
基于高斯-艾肯特滤波的机动目标跟踪算法
Maneuvering Target Tracking Method Based on Gauss-Aikten Filter
摘要
Abstract
To solve the problem that the model switching speed and accuracy of standard interacting multiple-model (IMM) algorithm are tend to decrease in maneuvering target tracking,a maneuvering target tracking algorithm using Gauss-Aikten filer is proposed.Firstly,state transition equations,measurement equations and total observation equations of Gauss-Aikten filter are derived.And then,total observation matrix is constructed via the alterable filter model and filter memory adaptively based on measurement data in each filter cycle.Finally,Gauss-Aikten filter have good flexibility on tracking maneuvering target.Performance of the Gauss-Aikten filter is evaluated via a scenario for maneuvering target tracking.Simulation results demonstrated the effectiveness of Gauss-Aikten filter compared with other three popular IMM algorithm.关键词
机动目标跟踪/高斯-艾肯特滤波/滤波内存长度/多模型跟踪算法Key words
maneuvering target tracking/Gauss-Aikten filter/filter memory/multiple-model tracking method分类
信息技术与安全科学引用本文复制引用
马健凯,姜秋喜,潘继飞,张坤..基于高斯-艾肯特滤波的机动目标跟踪算法[J].现代雷达,2018,40(4):55-60,6.基金项目
国防预研基金资助项目(41101020207) （41101020207）
