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Target tracking using interacting multipattern probabilistic data association (IMP-PDA)

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2 Author(s)
Hong, L. ; Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA ; Ningzhou Cui

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 of 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 manoeuvre information for data association, which enhances significantly the capability of discriminating correct measurements from false measurements

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American Control Conference, 1999. Proceedings of the 1999  (Volume:6 )

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