DU-CG-STAP Method Based on Sparse Recovery and Unsupervised Learning for Airborne Radar Clutter Suppression
With a small number of training range cells, sparse recovery (SR)-based space–time adaptive processing (STAP) methods can help to suppress clutter and detect targets effectively for airborne radar. However, SR algorithms usually have problems of high computational complexity and parameter-setting di...
Main Authors: | Bo Zou, Xin Wang, Weike Feng, Hangui Zhu, Fuyu Lu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/14/3472 |
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