A Fast Space-Time Adaptive Processing Algorithm Based on Sparse Bayesian Learning for Airborne Radar

A Fast Space-Time Adaptive Processing Algorithm Based on Sparse Bayesian Learning for Airborne Radar

Space-time adaptive processing (STAP) plays an essential role in clutter suppression and moving target detection in airborne radar systems. The main difficulty is that independent and identically distributed (i.i.d) training samples may not be sufficient to guarantee the performance in the heterogen...

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Bibliographic Details
Main Authors: Cheng Liu, Tong Wang, Shuguang Zhang, Bing Ren
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
space-time adaptive processing
airborne radar
sparse recovery/representation
computational complexities
sparse Bayesian learning
group sparse
Online Access:https://www.mdpi.com/1424-8220/22/7/2664

Internet

https://www.mdpi.com/1424-8220/22/7/2664

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