Synthetic Aperture Sonar Compressive Sensing Imaging by Iterative Optimization Based on Ridge Regression

Synthetic aperture sonar (SAS) imaging based on compressive sensing (CS) has shown strong potential for high-resolution reconstruction under sparse sampling conditions. However, many existing CS-based SAS imaging methods rely on convex optimization solvers or ADMM-type iterative schemes, which often...

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Egile Nagusiak:	Yingqi Yang, Linyuan Guo, Liran Ma
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2026-01-01
Saila:	IEEE Access
Gaiak:	Compressive sensing synthetic aperture sonar ridge regression linear frequency high-frequency sonar imaging iterative optimization
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/11422846/
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