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Fuzzy Quadrature Particle Filter for Maneuvering Target Tracking
- Source :
- International Journal of Fuzzy Systems. 18:647-658
- Publication Year :
- 2015
- Publisher :
- Springer Science and Business Media LLC, 2015.
-
Abstract
- In this paper, a novel fuzzy quadrature particle filter (FQPF) based on maximum entropy fuzzy clustering for maneuvering target tracking is proposed. The novelties of the fuzzy quadrature particle filter are in the update step in which the predicted and posterior probability density functions are approximated by introducing a set of quadrature point probability densities based on the Gauss–Hermite quadrature rule as a Gaussian. The particle and quadrature point weights can be adaptively estimated based on the weighting exponent and fuzzy membership degrees provided by a modified version of maximum entropy fuzzy clustering algorithm. Unlike the Gaussian particle filter (GPF) using the prior distribution as the proposal distribution, the new FQPF uses a set of modified quadrature point probability densities as the proposal distribution that can effectively enhance the diversity of samples and improve the approximate performance. Finally, simulation results are presented to demonstrate the versatility and improved performance of the fuzzy quadrature particle filter over other nonlinear filtering approaches, namely the unscented Kalman filter, quadrature Kalman filter, particle filter, and GPF, to solve maneuvering target tracking problems.
- Subjects :
- Fuzzy clustering
020206 networking & telecommunications
02 engineering and technology
Quadrature filter
Gauss–Kronrod quadrature formula
Tanh-sinh quadrature
Theoretical Computer Science
symbols.namesake
Computational Theory and Mathematics
Artificial Intelligence
Control theory
0202 electrical engineering, electronic engineering, information engineering
symbols
Gaussian quadrature
020201 artificial intelligence & image processing
Ensemble Kalman filter
Software
Gauss–Hermite quadrature
Mathematics
Clenshaw–Curtis quadrature
Subjects
Details
- ISSN :
- 21993211 and 15622479
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- International Journal of Fuzzy Systems
- Accession number :
- edsair.doi...........d6b11baade377ff67c6199aa68596544