An Improved IMMJPDA Algorithm for Tracking Multiple Maneuvering Targets in Clutter

Author

Mao, Dongcai ; Xue, Anke ; Peng, DongLiang ; Guo, Yunfei

Author_Institution

Inst. of Intelligence Inf. & Control Technol., Hangzhou Dianzi Univ.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

4317

Lastpage

4320

Abstract

In this paper, the problem of tracking multiple maneuvering targets in clutter is investigated. An improved interacting multiple model joint probabilistic data association (IMMJPDA) algorithm is proposed. When the targets are described by different models, different association matrices are formulated. However, the traditional IMMJPDA algorithm only generates one association matrix. This new algorithm can reduce the overshoot of RMSE in position. The validity of this algorithm is illustrated through Monte Carlo simulations

Keywords

Monte Carlo methods; clutter; matrix algebra; probability; target tracking; Monte Carlo simulation; association matrix; interacting multiple model joint probabilistic data association; multiple maneuvering target tracking; Constitution; Covariance matrix; Equations; Filtering algorithms; Intelligent control; Root mean square; Smoothing methods; Target tracking; Technological innovation; Time measurement; IMMJPDA; RMS overshoot; tracking of multiple maneuvering targets;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713190

Filename

1713190