Title :
Combining IMM filtering and MHT data association for multitarget tracking
Author :
Dempster, R.J. ; Blackman, S.S. ; Nichols, T.S.
Author_Institution :
Hughes Aircraft Co., El Segundo, CA, USA
Abstract :
Interacting multiple model (IMM) filtering and multiple hypothesis tracking (MHT) represent the most accurate methods currently available for tracking multiple maneuvering targets in cluttered environments. Although these methods are complex, modern computational capabilities make their combined implementation feasible for modern tracking systems. The paper discusses a radar IMM/MHT implementation that has been developed and tested by simulation. Tracking performance results are presented for the IMM/MHT method and compared with results from a conventional method. Preliminary estimates of computational requirements are given in order to demonstrate implementation feasibility
Keywords :
filtering theory; radar clutter; radar signal processing; radar tracking; target tracking; tracking filters; IMM filtering; MHT data association; clutter; cluttered environments; computational capabilities; implementation feasibility; interacting multiple model filtering; modern tracking systems; multiple hypothesis tracking; multiple maneuvering targets; multitarget tracking; radar IMM/MHT implementation; simulation; tracking performance results; Aircraft; Computational modeling; Covariance matrix; Delay; Filtering; History; Kalman filters; Radar tracking; Target tracking; Testing;
Conference_Titel :
System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on
Conference_Location :
Cookeville, TN
Print_ISBN :
0-8186-7873-9
DOI :
10.1109/SSST.1997.581591
