An Improved IMMJPDA Algorithm for Tracking Multiple Maneuvering Targets in Clutter
Dong-cai Mao, Anke Xue, Dongliang Peng, Yunfei Guo · 2006
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