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基于压缩感知的SAR海面场景目标数据压缩与重构方法

现代电子技术Issue(13):1-4,4.
现代电子技术Issue(13):1-4,4.

基于压缩感知的SAR海面场景目标数据压缩与重构方法

SAR data compressing and reconstructing method for sea scene target based on compressed sensing

摘要

Abstract

The compressed sensing theory(a new data compressing and reconstructing theory)is utilized in this paper to solve the issue of huge SAR data compressing and reconstructing for sea scene target. Firstly,random Gaussian noise matrix is designed as a measurement matrix to complete data compressing. Secondly,smooth L0(SL0)algorithm is utilized to reconstruct original signal. On the basis of that,traditional frequency scaling(FS)algorithm is carried out to obtain the final SAR image. The effectiveness of the proposed method can be proved by simulation results.

关键词

海面场景目标/SAR数据/压缩感知/平滑L0算法/频率变标算法

Key words

sea scene target/SAR data/compressed sensing/smooth L0 algorithm/frequency scaling algorithm

分类

信息技术与安全科学

引用本文复制引用

..基于压缩感知的SAR海面场景目标数据压缩与重构方法[J].现代电子技术,2013,(13):1-4,4.

基金项目

国家自然科学基金项目(60971100);广西无线宽带通信与信号处理重点实验室2011年度开放基金项目 ()

现代电子技术

OACSTPCD

1004-373X

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