A Grid-Less Total Variation Minimization-Based Space-Time Adaptive Processing for Airborne Radar

A Grid-Less Total Variation Minimization-Based Space-Time Adaptive Processing for Airborne Radar

Sparse recovery (SR) based space-time adaptive processing (STAP) has attracted much attention due to its small requirement of snapshots in the estimation of the clutter plus noise covariance matrix (CNCM). However, most of the existing SR STAP methods suffer from the grid mismatch effect of the dict...

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Bibliographic Details
Main Authors: Yuyu Su, Tong Wang, Fuyu Tao, Zhongyue Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Airborne radar
clutter suppression
grid-less
space-time adaptive processing
total variation minimization
Online Access:https://ieeexplore.ieee.org/document/8986637/

Internet

https://ieeexplore.ieee.org/document/8986637/

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