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一种深度欠采样的快速SAR成像算法
引用本文:王健,宗竹林.一种深度欠采样的快速SAR成像算法[J].火控雷达技术,2011(4):19-24.
作者姓名:王健  宗竹林
作者单位:电子科技大学,成都,611731
摘    要:以减少SAR成像所需数据量,缩短成像时间为目的,本文构建了深度欠采样回波信号的模型,提出了一种二维脉冲压缩算法,该算法利用OMP和BCS算法对欠采样回波做距离向和方位向压缩,实现了二维SAR快速成像。通过对点目标模型SAR回波的仿真验证了方案的有效性。

关 键 词:压缩感知(CS)  SAR  正交匹配追踪(OMP)  贝叶斯压缩感知(BCS)

A Fast SAR Imaging Algorithm Based on Deep Under-sampling
Wang Jian,Zong Zhulin.A Fast SAR Imaging Algorithm Based on Deep Under-sampling[J].Fire Control Radar Technology,2011(4):19-24.
Authors:Wang Jian  Zong Zhulin
Affiliation:(University of Electronic Science and Technology of China,Chengdu 611731)
Abstract:Abst For the purpose of reducing the amount of data required by synthetic aperture radar (SAR) imaging and shortening imaging time, a 2-D pulse compression algorithm is proposed based on constructing of deep under-sampled echo signal model. In this algorithm, orthogonal matching pursuit (OMP) and Bayesian compressive sensing (BCS) algorithms are applied for range profile and azimuth profiles compression, so as to obtain 2-D fast SAR imaging. The effectiveness of the scheme is verified via simulation by using SAR echoes of point target model.
Keywords:compressive sensing (CS)  SAR  orthogonal matching pursuit (OMP)  Bayesian compressive sensing (BCS)
本文献已被 CNKI 维普 万方数据 等数据库收录!
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