Joint Correlations Sparse Bayesian Learning STAP With Prior Knowledge of Clutter Ridge

Joint Correlations Sparse Bayesian Learning STAP With Prior Knowledge of Clutter Ridge

Space-time adaptive processing (STAP) based on sparse Bayesian learning (SBL) can significantly improve clutter suppression performance utilizing clutter sparsity. However, the existing SBL-STAP algorithms lack full use of correlations, which leads to unsatisfactory performance and slow convergence...

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Bibliographic Details
Main Authors: Junhao Cui, Zhangxin Chen, Jing Liang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Dictionary design
joint correlations
prior knowledge of clutter ridge
space-time adaptive processing (STAP)
sparse Bayesian learning (SBL)
Online Access:https://ieeexplore.ieee.org/document/10890973/

Internet

https://ieeexplore.ieee.org/document/10890973/

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