Maneuver Target Tracking Based on Kalman IMM Algorithm

被引：0

作者：

Wu, Wei ^{[1
]}

Cao, Peng ^{[1
]}

Pan, Zhen Dong ^{[1
]}

机构：

[1] Shenyang Univ Technol, Sch Elect Engn, Shenyang, Peoples R China

来源：

ADVANCES IN ELECTRICAL ENGINEERING AND AUTOMATION | 2012年 / 139卷

关键词：

IMM; Motive Target; CV; CT;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to avoid tracking a maneuver detection algorithm. An interacting multiple model algorithm based on the Kalman was proposed to improve the accuracy of interacting multiple model(IMM). The target motion is divided into two parts, namely global motion and local motion, which are separately predicted according to their own dynamic behavior. Builds CA(Constant Accelerator) and CT(Constant Turn) target model of interaction to achieve the state of the target maneuver adaptive estimation. The simulation results show IMM algorithm for CV. CT maneuvering target tracking can achieve good results.

引用

页码：479 / 483

页数：5