An Accelerated Iterative Shrinkage-Thresholding Algorithm for Real-Beam Scanning Radar Super-Resolution

Authors :: Jianyu Yang
Meihua Niu
Wenchao Li
Zhutian Liu
Yongchao Zhang
Source :: 2019 IEEE Radar Conference (RadarConf).
Publication Year :: 2019
Publisher :: IEEE, 2019.
Abstract: Iterative shrinkage-thresholding algorithm (ISTA) is a simple and robust method to realize super-resolution of real-beam scanning radar. However, slow convergence is a drawback. This work proposes an accelerated iterative shrinkage-thresholding algorithm based on Taylor series expansion. Simulation results are presented to validate the effectiveness the validity and high efficiency of the proposed algorithm.

Subjects :: Computer science
Beam scanning
Superresolution
law.invention
symbols.namesake
Acceleration
law
Radar imaging
Thresholding algorithm
Taylor series
symbols
Radar
Algorithm
Image resolution
Shrinkage

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