Brief paper: A switched IMM-Extended Viterbi estimator-based algorithm for maneuvering target tracking

Authors:
Tan-Jan Ho
Affiliations:
-
Venue:
Automatica (Journal of IFAC)
Year:
2011

Citing 3
Cited 2

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Novel extended Viterbi-based multiple-model algorithms for state estimation of discrete-time systems with Markov jump parameters

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Object tracking under low signal-to-noise-ratio with the instantaneous-possible-moving-position model

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State estimation for Markovian Jump Linear Systems with bounded disturbances

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Abstract

This paper presents a new algorithm for tracking a maneuvering target modeled as a class of Markov jump linear systems. The proposed algorithm consists of two interacting multiple model-extended Viterbi (IMM-EV) algorithms, coupled with proposed detection schemes for maneuver occurrences and terminations as well as for switching initializations. Combined performance strengths of the two IMM-EV algorithms are utilized via switching from one IMM-EV algorithm to the other. Appropriate design parameter values are derived for the detection schemes of maneuver occurrences and terminations. The results demonstrate that the proposed algorithm can be a viable alternative to several well-known tracking methods.