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

fYear

1997

fDate

9-11 Mar 1997

Firstpage

123

Lastpage

127

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;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on

Conference_Location

Cookeville, TN

ISSN

0094-2898

Print_ISBN

0-8186-7873-9

Type

conf

DOI

10.1109/SSST.1997.581591

Filename

581591