Open AccessBernoulli Filter for Extended Target in Clutter Using Poisson Models
Author(s) -
Cai Fei,
Fan Hongqi,
Fu Qiang
Publication year - 2015
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2015.04.017
Subject(s) - clutter , bernoulli's principle , filter (signal processing) , poisson distribution , computer science , algorithm , mathematics , computer vision , physics , statistics , telecommunications , radar , thermodynamics
This paper presents a joint detection andtracking filter for a single extended target in the presenceof clutter measurements and missed detections. The filteris obtained by adapting the Poisson extended targetmodel into the Bernoulli filter proposed by Mahler. Theresulted filter is an optimal extended target joint detectionand tracking filter. Predictor and corrector are derivedfollows the random set filtering framework. A particle filterimplementation is presented, in which simplificationmethods are used to make it easy to be realized. Simulationresults show that the proposed filter is effective atdetection and tracking of extended target in dense clutterbackgrounds.