Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate

Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate

This paper proposes a novel joint probabilistic data association (JPDA) filter for joint target tracking and track maintenance under unknown detection probability and clutter rate. The proposed algorithm consists of two main parts: (1) the standard JPDA filter with a Poisson point process birth mode...

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Bibliographic Details
Main Authors:	Shaoming He, Hyo-Sang Shin, Antonios Tsourdos
Format:	Article
Language:	English
Published:	MDPI AG 2018-01-01
Series:	Sensors
Subjects:	multiple target tracking joint probabilistic data association multi-Bernoulli filter unknown detection probability unknown clutter rate
Online Access:	http://www.mdpi.com/1424-8220/18/1/269

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