自动化学报2016，Vol.42Issue(4)：556-565,10.DOI:10.16383/j.aas.2016.c140897
基于LBI的二维复稀疏信号重建算法及应用研究
2D Complex Sparse Reconstruction Algorithm with LBI and Its Application
摘要
Abstract
A parallel fast linearized Bregman iteration (PFLBI) algorithm is proposed to solve the problem of large stor-age and complex computation in the reconstruction of 2D sparse signal. The PFLBI algorithm can efficiently reconstruct 2D sparse signal in a parallel way. Firstly, the matrix form of linearized Bregman iteration (LBI) is constructed. Secondly, the convergence speed is improved by estimating the number of the steps for intermediate variables to cross the shrinkage threshold. Thirdly, the performance of the proposed algorithm is analyzed. Finally, PFLBI is applied to inverse synthetic aperture radar (ISAR) imaging. Experimental results show that the proposed algorithm can improve the performance and the speed of reconstruction.关键词
稀疏重建/二维信号处理/线性Bregman迭代/ISAR成像Key words
Sparse reconstruction/2D signal processing/linearized Bregman iteration (LBI)/inverse synthetic aperture radar (ISAR) imaging引用本文复制引用
陈文峰,李少东,杨军..基于LBI的二维复稀疏信号重建算法及应用研究[J].自动化学报,2016,42(4):556-565,10.基金项目
Manuscript received December 25,2014 （）
accepted December 7,2015国家自然科学基金(61179014)资助Supported by National Natural Science Foundation of China (61179014) （61179014）
