Distributed square root fuzzy cubature information filter for object tracking on the possibilistic framework
نویسندگان
چکیده
In this study, a distributed fuzzy filter is proposed for non-linear state estimation problem on the possibilistic framework. Firstly, instead of Gaussian distribution probability framework, process and observation noises are modelled as random variables with trapezoidal possibility distributions. Secondly, novel square root cubature information filtering (SRFCIF) algorithm to deal noise; variable fusion (FVF) used fusion. Consequently, (DSRFCIF) by embedding SRFCF FVF into consensus frame. Finally, consistency analysis simulation demonstration executed filter.
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ژورنال
عنوان ژورنال: Iet Radar Sonar and Navigation
سال: 2022
ISSN: ['1751-8784', '1751-8792']
DOI: https://doi.org/10.1049/rsn2.12364