DocumentCode :
549015
Title :
Sequential multiple-model detection of target maneuver termination
Author :
Liu, Yu ; Li, X. Rong
Author_Institution :
Dept. of Electr. Eng., Univ. of New Orleans, New Orleans, LA, USA
fYear :
2011
fDate :
5-8 July 2011
Firstpage :
1
Lastpage :
8
Abstract :
Although methods for target maneuver onset detection (MOD) abound, few have been proposed for target maneuver termination detection (MTD), since MOD is easier and considered more important. Without MTD, however, decision based maneuvering target tracking is not complete and may suffer from performance degradation and computational waste. This paper proposes sequential testing methods for MTD in the multiple model framework. The celebrated CUSUM and SSPRT are adopted to detect maneuver termination, and the likelihood functions involved in these two tests are approximated by the outputs of the interacting multiple model (IMM) estimator, which is one of the most widely used algorithms for maneuvering target tracking. An Illustrative example is provided and the simulation results demonstrate the applicability of our algorithms.
Keywords :
maximum likelihood sequence estimation; object detection; target tracking; CUSUM; SSPRT; computational waste; decision based maneuvering target tracking; interacting multiple model estimator; likelihood functions; sequential testing methods; target maneuver onset detection; target maneuver termination sequential multiple-model detection; Computational modeling; Estimation; Mathematical model; Noise measurement; Numerical models; Target tracking; Testing; maneuver termination detection; multiple models; sequential hypothesis testing; target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4577-0267-9
Type :
conf
Filename :
5977449
Link To Document :
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