Discrete Interference Suppression Method Based on Robust Sparse Bayesian Learning for STAP

Discrete Interference Suppression Method Based on Robust Sparse Bayesian Learning for STAP

Discrete interference influences the performance of existing space-time adaptive processing methods in practical scenarios. In order to effectively suppress discrete interference in real clutter environment, a discrete interference suppression method based on robust sparse Bayesian learning (SBL) is...

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Bibliographic Details
Main Authors: Xiaopeng Yang, Yuze Sun, Jian Yang, Teng Long, Tapan K. Sarkar
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Discrete interference suppression
nonhomogeneous clutter
sparse Bayesian learning (SBL)
STAP
Online Access:https://ieeexplore.ieee.org/document/8648400/

Internet

https://ieeexplore.ieee.org/document/8648400/

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