An Efficient Sparse Bayesian Learning STAP Algorithm with Adaptive Laplace Prior

An Efficient Sparse Bayesian Learning STAP Algorithm with Adaptive Laplace Prior

Space-time adaptive processing (STAP) encounters severe performance degradation with insufficient training samples in inhomogeneous environments. Sparse Bayesian learning (SBL) algorithms have attracted extensive attention because of their robust and self-regularizing nature. In this study, a comput...

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Bibliographic Details
Main Authors: Weichen Cui, Tong Wang, Degen Wang, Kun Liu
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
airborne radar
space-time adaptive processing
sparse Bayesian learning
reduced-dimension
Online Access:https://www.mdpi.com/2072-4292/14/15/3520

Internet

https://www.mdpi.com/2072-4292/14/15/3520

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