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:
Online Access:http://www.mdpi.com/1424-8220/18/1/269