An improved algorithm for maneuvering target tracking in clutter

被引：0
|
作者：
Wang, Lanyun [1 ]
Zhang, Kunfan [1 ]
Zhao, Yongjun [1 ]
Wang, Weixiang [1 ]
机构：
[1] Informat Engn Univ, Inst Informat Engn, Zhengzhou 450002, Henan, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2006年 / 13E卷
关键词：
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The algorithm of Kalman filtering was introduced firstly. Then an improved algorithm aimed at the disadvantage of the traditional VD and IMM was put forward. The algorithm based on the convergence of Kalman filtering, and reached the tracking performance of IMM with small computation. Monte-Carlo simulation results show that the proposed algorithm has the advantages: smaller memory, faster data processing speed and better real-time tracking ability. The method can efficiently track maneuvering target and be easily implemented.
引用
收藏
页码：559 / 562
页数：4
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