Title :
The PMHT for maneuvering targets
Author :
Ruan, Yanhua ; Willett, Peter ; Streit, Roy
Author_Institution :
Connecticut Univ., Storrs, CT, USA
Abstract :
Via the EM algorithm and a slight modification of the usual target-tracking assumptions, the probabilistic multi-hypothesis tracker (PMHT) of Streit and Luginbuhl (1995) combines data-association and filtering to a simple, elegant, and efficient iterative procedure. The PMHT works well; but part of its appeal is a consistent and extensible statistical foundation. In the paper we show one such extension, that designed to track maneuvering targets. The basis, as is in common with many algorithms designed for maneuvering targets, is of an underlying and hidden “model-switch” process controlled by a Markov probability structure
Keywords :
Markov processes; filtering theory; probability; target tracking; Markov probability structure; data-association; expectation maximisation algorithm; filtering; iterative procedure; maneuvering targets; model-switch process; probabilistic multi-hypothesis tracker; Algorithm design and analysis; Current measurement; Filtering algorithms; Iterative algorithms; Kalman filters; Probability; Process control; Target tracking; Time measurement; Trajectory;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.703070
