A Space-Time Adaptive Processing Method Based on Sparse Bayesian Learning for Maneuvering Airborne Radar

A Space-Time Adaptive Processing Method Based on Sparse Bayesian Learning for Maneuvering Airborne Radar

Space-time adaptive processing (STAP) is an effective technology in clutter suppression and moving target detection for airborne radar. Because airborne radar moves at a constant acceleration, and there is a lack of independent and identically distributed (IID) training samples caused by the heterog...

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Bibliographic Details
Main Authors: Shuguang Zhang, Tong Wang, Cheng Liu, Degen Wang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
space-time adaptive processing
sparse Bayesian learning
uniform acceleration radar
Online Access:https://www.mdpi.com/1424-8220/22/15/5479

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