Title :
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.
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;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713190
