A belief propagation algorithm based on track‐before‐detect for tracking low‐observable and manoeuvering targets using multiple sensors

A belief propagation algorithm based on track‐before‐detect for tracking low‐observable and manoeuvering targets using multiple sensors

Abstract It is notoriously challenging work to track an unknown number of low‐observable manoeuvering targets. In this paper, a sequential Bayesian inference method based on the multiple‐model dynamic model and track‐before‐detect measurement (TBD) model is proposed for tracking low‐observable manoe...

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Bibliographic Details
Main Authors: Chenghu Cao, Haisheng Huang, Xin Li, Yongbo Zhao
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Radar, Sonar & Navigation
Subjects:
Bayes methods
radar signal processing
radar tracking
sensor fusion
Online Access:https://doi.org/10.1049/rsn2.12673
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https://doi.org/10.1049/rsn2.12673

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