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An interacting multipattern probabilistic data association (IMP-PDA) algorithm for target tracking
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DOI：10.1109/9.940926.png)
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A theoretical development of a novel approach for target tracking based on multiple patterns extracted from measurement sequences is presented in this paper. The introduction of patterns leads to a new paradigm for developing high performance algorithms. An interacting multipattern probabilistic data association (IMP-PDA) algorithm is developed, taking advantage of clever formulation of the interacting multiple model (IMM) approach. The IMP-PDA algorithm employs distance, directional and maneuver information for data association, which enhances significantly the capability of discriminating correct measurements from false measurements.
Keyword:
data association
mixing
multiscan modeling
pattern extraction
target tracking
track patterns
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7
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被引数:
6.7W
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