Parameter estimation and tracking algorithm for resolvable group targets based on GLMB filter and RLS algorithm

Parameter estimation and tracking algorithm for resolvable group targets based on GLMB filter and RLS algorithm

Abstract Current resolvable group targets tracking algorithms can only track a small number of group targets assuming the standard deviation vectors (SDVs) are known. Based on generalized labeled multi-Bernoulli filter, this paper first proposes a serial tracking algorithm, in order to save the comp...

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Bibliographic Details
Main Authors: Weifeng Liu, Zhi Zhao, Qiliang Liu, Zhangming Peng
Format: Article
Language:English
Published: SpringerOpen 2022-11-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Group targets tracking
Dependency relations
GLMB filter
Random finite sets
SDVs
Parameter estimation
Online Access:https://doi.org/10.1186/s13634-022-00929-5

Internet

https://doi.org/10.1186/s13634-022-00929-5

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