ISAR High Resolution Imaging Algorithm Based on Weighted Adaptive Mixed Norm

ISAR High Resolution Imaging Algorithm Based on Weighted Adaptive Mixed Norm

Based on the sparsity of inverse synthetic aperture radar (ISAR) signal, this paper proposes a high resolution imaging algorithm for ISAR based on weighted adaptive mixed norm. By weighting against l_2,0 mixed norm term, an improved model of the sparse constraint ISAR signal is proposed. The model...

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Bibliographic Details
Main Authors:	Q. Zhang, Q. Q. Chen, G. Xu, J. R. Chi
Format:	Article
Language:	English
Published:	Spolecnost pro radioelektronicke inzenyrstvi 2024-12-01
Series:	Radioengineering
Subjects:	inverse synthetic aperture radar (isar) weight coefficient sparse constraint regularization coefficient l_2 0 mixed norm
Online Access:	https://www.radioeng.cz/fulltexts/2024/24_04_0603_0611.pdf
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