A Measurement Set Partitioning Algorithm Based on CFSFDP for Multiple Extended Target Tracking in PHD Filter

A Measurement Set Partitioning Algorithm Based on CFSFDP for Multiple Extended Target Tracking in PHD Filter

The extended target probability hypothesis density (ET-PHD) filter is a promising approach for multiple extended target tracking. One crucial problem of the ET-PHD filter is partitioning the measurement set. This paper proposes a partitioning algorithm based on clustering by fast search and find den...

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Bibliographic Details
Main Authors: Y. Gong, C. Cui
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2021-06-01
Series:Radioengineering
Subjects:
probability hypothesis density filter
extended target tracking
measurement set
cutoff distance
sub-partitioning
Online Access:https://www.radioeng.cz/fulltexts/2021/21_02_0407_0416.pdf

Internet

https://www.radioeng.cz/fulltexts/2021/21_02_0407_0416.pdf

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