A new adaptive track correlation method for multiple scenarios

A new adaptive track correlation method for multiple scenarios

Abstract The traditional track correlation methods have problems such as limitation of the application scenarios, unstable performances and poor practicalities. To solve those problems, a new adaptive track correlation method for multiple scenarios was proposed in this paper using the theories and m...

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Bibliographic Details
Main Authors: Yaqi Cui, Yu Liu, Tiantian Tang, Hongfeng Zhu
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:IET Radar, Sonar & Navigation
Subjects:
correlation methods
sensor fusion
target tracking
convolutional neural nets
deep learning (artificial intelligence)
Online Access:https://doi.org/10.1049/rsn2.12101

Internet

https://doi.org/10.1049/rsn2.12101

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