Linear Regression Based Clutter Reconstruction for STAP

Linear Regression Based Clutter Reconstruction for STAP

Space-time adaptive processing (STAP) is supposed to be a crucial technique for improving target detection performance in a strong clutter background for airborne phased array radar systems. In this paper, we consider the extremely heterogeneous case, i.e., the number of available training samples i...

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Bibliographic Details
Main Authors: Wei Zhang, Zishu He, Huiyong Li
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Space time adaptive processing
sparse recovery
linear regression
clutter ridge
knowledge-aided
Online Access:https://ieeexplore.ieee.org/document/8478778/

Internet

https://ieeexplore.ieee.org/document/8478778/

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