Fuzzy interacting multiple model H∞ particle filter algorithm based on current statistical model

Journal article

Wang, Q., Chen, X., Zhang, L., Li, J., Zhao, C. and Qi, M. 2019. Fuzzy interacting multiple model H∞ particle filter algorithm based on current statistical model. International Journal of Fuzzy Systems. 21, pp. 1894-1905. https://doi.org/10.1007/s40815-019-00678-y
AuthorsWang, Q., Chen, X., Zhang, L., Li, J., Zhao, C. and Qi, M.
Abstract

In this paper, fuzzy theory and interacting multiple model are introduced into H∞ filter-based particle filter to propose a new fuzzy interacting multiple model H∞ particle filter based on current statistical model. Each model uses H∞ particle filter algorithm for filtering, in which the current statistical model can describe the maneuver of target accurately and H∞ filter can deal with the nonlinear system effectively. Aiming at the problem of large amount of probability calculation in interacting multiple model by using combination calculation method, our approach calculates each model matching probability through the fuzzy theory, which can not only reduce the calculation amount, but also improve the state estimation accuracy to some extent. The simulation results show that the proposed algorithm can be more accurate and robust to track maneuvering target.

KeywordsFuzzy theory; H∞ particle filter
Year2019
JournalInternational Journal of Fuzzy Systems
Journal citation21, pp. 1894-1905
PublisherSpringer
ISSN2199-3211
Digital Object Identifier (DOI)https://doi.org/10.1007/s40815-019-00678-y
Official URLhttps://doi.org/10.1007/s40815-019-00678-y
Publication dates
Print01 Jul 2019
Publication process dates
Accepted11 Jun 2019
Deposited20 May 2021
Accepted author manuscript
License
Output statusPublished
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