Multi-Target Tracking Based on Multi-Bernoulli Filter with Amplitude for Unknown Clutter Rate

Multi-Target Tracking Based on Multi-Bernoulli Filter with Amplitude for Unknown Clutter Rate

Knowledge of the clutter rate is of critical importance in multi-target Bayesian tracking. However, estimating the clutter rate is a difficult problem in practice. In this paper, an improved multi-Bernoulli filter based on random finite sets for multi-target Bayesian tracking accommodating non-linea...

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Bibliographic Details
Main Authors: Changshun Yuan, Jun Wang, Peng Lei, Yanxian Bi, Zhongsheng Sun
Format: Article
Language:English
Published: MDPI AG 2015-12-01
Series:Sensors
Subjects:
multi-Bernoulli filter
random finite set
multi-target tracking
amplitude information
clutter rate estimation
sequential Monte-Carlo
Online Access:http://www.mdpi.com/1424-8220/15/12/29804

Internet

http://www.mdpi.com/1424-8220/15/12/29804

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