Quickest detection of superimposed hidden Markov Models using a multiple target tracker

Biao Chen, Peter Willett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper addresses the quickest detection of superimposed hidden Markov Models (HMMs) using tracking algorithms. It is assumed that a known HMM is always extant but at an unknown time a second known HMM might be present and overlapped with the previous one. We develop a Page-like test to detect this superimposed HMM as quickly as possible. It is argued that such a scheme is feasible only for low dimension HMMs and therefore it is not extensible to multiple superimposed HMMs. A new detection method based on multiple target tracking ideas is presented, and it is shown through numerical examples that this scheme works essentially as well as the `optimal' one.

Original languageEnglish (US)
Title of host publicationIEEE Aerospace Applications Conference Proceedings
Editors Anon
PublisherIEEE Computer Society
Pages37-47
Number of pages11
Volume5
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 IEEE Aerospace Conference. Part 1 (of 5) - Snowmass at Aspen, CO, USA
Duration: Mar 21 1998Mar 28 1998

Other

OtherProceedings of the 1998 IEEE Aerospace Conference. Part 1 (of 5)
CitySnowmass at Aspen, CO, USA
Period3/21/983/28/98

ASJC Scopus subject areas

  • Engineering(all)

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