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Proceedings Paper

Fuzzy logic approach to data association
Author(s): Hossam M. Osman; Mohamad Farooq; Tai Quach
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Paper Abstract

This paper proposes a new fuzzy logic approach for solving the data association problem typically encountered in the application of target tracking. A single massive target maneuvering in a heavily-cluttered underwater environment is considered. The proposed fuzzy data association (FDA) approach is combined with an interacting multiple model (IMM) filter. The resultant IMM-FDA tracking algorithm is applied to estimate the state of the maneuvering target, and its performance is compared to that of a combination of an IMM filter and the probabilistic data association (PDA) scheme. The obtained results indicate that the IMM-FDA significantly outperforms the IMM-PDA at the expense of requiring more computational cost and introducing a short processing lag.

Paper Details

Date Published: 14 June 1996
PDF: 10 pages
Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); doi: 10.1117/12.243173
Show Author Affiliations
Hossam M. Osman, Queen's Univ. (Canada)
Mohamad Farooq, Royal Military College of Canada (Canada)
Tai Quach, Royal Military College of Canada (Canada)


Published in SPIE Proceedings Vol. 2755:
Signal Processing, Sensor Fusion, and Target Recognition V
Ivan Kadar; Vibeke Libby, Editor(s)

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