Adaptive Measurement Partitioning Algorithm for a Gaussian Inverse Wishart PHD Filter that Tracks Closely Spaced Extended Targets

Adaptive Measurement Partitioning Algorithm for a Gaussian Inverse Wishart PHD Filter that Tracks Closely Spaced Extended Targets

Use of the Gaussian inverse Wishart probability hypothesis density (GIW-PHD) filter has demonstrated promise as an approach to track an unknown number of extended targets. However, when targets of various sizes are spaced closely together and performing maneuvers, estimation errors will occur becaus...

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Bibliographic Details
Main Authors: P. Li, H. Ge, J. Yang
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2017-06-01
Series:Radioengineering
Subjects:
Target tracking
extended target
filtering
GIW PHD filter
measurement partition
Online Access:https://www.radioeng.cz/fulltexts/2017/17_02_0573_0580.pdf

Internet

https://www.radioeng.cz/fulltexts/2017/17_02_0573_0580.pdf

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