Adaptive maneuvering target tracking algorithm

被引：1

作者：

Wu, Chunling ^{[1
]}

Ju, Yongfeng ^{[1
]}

Liu, Panzhi ^{[1
]}

Han, Chongzhao ^{[2
]}

机构：

[1] Chang’an University, Middle Section of Nan Erhuan Road, Xi'an City, Shaanxi, China

[2] Xi’an Jiaotong University, No. 28 Xianning West Road, Xi’an, Shaanxi, China

来源：

Sensors and Transducers | 2014年 / 174卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Adaptive filters - Bandpass filters - Intelligent systems - Target tracking - Clutter (information theory) - Covariance matrix - Monte Carlo methods;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Based on the current statistical model, a new adaptive maneuvering target tracking algorithm, CSMSTF, is presented. The new algorithm keep the merits of high tracking precision that the current statistical model and strong tracking filter (STF) have in tracking maneuvering target, and made the modifications as such: First, STF has the defect that it achieves the perfect performance in maneuvering segment at a cost of the precision in non-maneuvering segment, so the new algorithm modified the prediction error covariance matrix and the fading factor to improve the tracking precision both of the maneuvering segment and non-maneuvering segment; The estimation error covariance matrix was calculated using the Joseph form, which is more stable and robust in numerical. The Monte-Carlo simulation shows that the CS-MSTF algorithm has a more excellent performance than CS-STF and can estimate efficiently. © 2014 IFSA Publishing, S. L.

引用

页码：279 / 284