A Weighted Low-Rank and Sparse Constraint-Based Multichannel Radar Forward-Looking Imaging Method

A Weighted Low-Rank and Sparse Constraint-Based Multichannel Radar Forward-Looking Imaging Method

Radar super-resolution imaging methods with joint low-rank and sparse constraints have garnered increasing attention. However, in complex imaging scenarios, the low-rank property of the signal matrix is often not prominent, which limits the performance of directly applying low-rank constraints in su...

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Bibliographic Details
Main Authors: Junkui Tang, Lei Ran, Zheng Liu, Rong Xie, Yan Liu, Genquan Han
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Alternating direction multiplier method (ADMM)
covariance matrix
eigenvalue decomposition
forward-looking imaging
weighted low-rank and sparse (WLRS)
Online Access:https://ieeexplore.ieee.org/document/10994991/
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https://ieeexplore.ieee.org/document/10994991/

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