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

机译:一种加速迭代收缩阈值阈值算法,用于实束扫描雷达超级分辨率

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摘要

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.
机译:迭代收缩 - 阈值算法(ISTA)是一种实现实际束扫描雷达超分辨率的简单且坚固的方法。但是,缓慢的收敛是缺点。这项工作提出了一种基于泰勒序列扩展的加速迭代收缩阈值算法。提出了仿真结果以验证提出算法的有效性和高效率。

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