Fast Variational Bayesian Inference for Space-Time Adaptive Processing

Fast Variational Bayesian Inference for Space-Time Adaptive Processing

Space-time adaptive processing (STAP) approaches based on sparse Bayesian learning (SBL) have attracted much attention for the benefit of reducing the training samples requirement and accurately recovering sparse signals. However, it has the problem of a heavy computational burden and slow convergen...

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Bibliographic Details
Main Authors: Xinying Zhang, Tong Wang, Degen Wang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
space-time adaptive processing
variational Bayesian inference
clutter suppress
sparse recovery
Online Access:https://www.mdpi.com/2072-4292/15/17/4334

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