Improved Best-fitting Gaussian Approximation PHD Filter

Improved Best-fitting Gaussian Approximation PHD Filter

The best-fitting Gaussian approximation Probability Hypothesis Density (PHD) filter is a novel algorithm for multiple maneuvering target tracking. However, there is a problem that the model probabilities are calculated without the measurement innovation. To solve this problem, an improved algorithm...

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Bibliographic Details
Main Authors:	Ouyang-Cheng, Chen Xiao-xu, Hua Yun
Format:	Article
Language:	English
Published:	China Science Publishing & Media Ltd. (CSPM) 2013-06-01
Series:	Leida xuebao
Subjects:	Random finite sets Probability Hypothesis Density (PHD) filter Best-fitting Gaussian approximation Maneuvering target tracking
Online Access:	http://radars.ie.ac.cn/EN/abstract/abstract89.shtml#

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