Track-before-detect techniques
Date
2013
Authors
Davey, S.
Rutten, M.
Gordon, N.
Editors
Mallick, M.
Krishnamurthy, V.
Vo, B.
Krishnamurthy, V.
Vo, B.
Advisors
Journal Title
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Book chapter
Citation
Integrated Tracking, Classification, and Sensor Management: Theory and Applications, 2013 / Mallick, M., Krishnamurthy, V., Vo, B. (ed./s), pp.311-362
Statement of Responsibility
Samuel J. Davey, Mark G. Rutten, and Neil J. Gordon
Conference Name
Abstract
This chapter presents a review of many of the recent algorithms for track-before-detect (TBD) and assesses their performance. It presents an outline of the historical context of TBD and summarizes the key contributions to the field. It also motivates the study of TBD with an example where conventional tracking fails. The chapter defines models for targets and the measurements that are common among the alternative algorithms. It reviews a number of TBD algorithms: Baum Welch; Viterbi; the particle filter; maximum likelihood (ML) PDA; and histogram probabilistic multi-hypothesistracking (H-PMHT). The chapter presents an example application of TBD within a maritime surveillance context and the chapter concludes by identifying unsolved problems and future research areas for TBD.
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