Paper
26 November 2001 Maneuvering PMHTs
Yanhua Ruan, Peter K. Willett
Author Affiliations +
Abstract
The Probabilistic Multiple Hypothesis Tracker (PMHT) has previously been augmented and modified to deal with target maneuver. Unfortunately, although the resulting procedure tracks maneuvering targets reasonably well, estimation of the maneuver process (i.e. the hidden Markov Model (HMM)) is not particularly reactive. In this paper, the PMHT is further investigated and several PMHT variants for maneuvering targets are discussed these include the ideas from Logothetis et al. and from Pulford and La Scala; the incorporation of the Interacting Multiple Mode (IMM) formalism to the PMHT; the extension of the “turbo” PMHT. We finally compare these EM-based tracking schemes and provide the simulation results on the second benchmark problem from Blair et al.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanhua Ruan and Peter K. Willett "Maneuvering PMHTs", Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); https://doi.org/10.1117/12.492781
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Radar

Detection and tracking algorithms

Process modeling

Expectation maximization algorithms

Time metrology

Radon

Switching

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