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基于感知压缩的探地雷达数据压缩采集
引用本文:卢策吾,刘小军,方广有.基于感知压缩的探地雷达数据压缩采集[J].电子学报,2011,39(9):2204-2206.
作者姓名:卢策吾  刘小军  方广有
作者单位:中国科学院电子学研究所,北京,100080
基金项目:国家863高技术研究发展计划(No.2008AA121702-3); 国家自然基金(No.40976114)
摘    要: 本文提出一种基于压缩感知的探地雷达数据压缩采集方法,实现实时的采样数据压缩,无需采集完所有数据后再压缩,采样与压缩同时进行,从而大大减小了实时采样的存储压力.探地雷达的采样信号被压缩投影到由Mersenne Twister 算法生成随机矩阵,实现压缩.该方法实现了小计算量的实时压缩,并且硬件实现简单.本文使用half-quadric的方法求解感知压缩模型中的l1凸优化,快速实现数据重构.实验表明,本文方法能将探地雷达数据压缩把到原来的1/15,大大减小实时采样存储压力.

关 键 词:探地雷达  感知压缩  数据采集
收稿时间:2008-07-02

Compressive Sensing for GPR Data Acquisition
LU Ce-wu,LIU Xiao-jun,FANG Guang-you.Compressive Sensing for GPR Data Acquisition[J].Acta Electronica Sinica,2011,39(9):2204-2206.
Authors:LU Ce-wu  LIU Xiao-jun  FANG Guang-you
Affiliation:LU Ce-wu,LIU Xiao-jun,FANG Guang-you(Institute of Electronics,Chinese Academy of Sciences,Beijing,100080,China)
Abstract:This paper presents a novel data acquisition for ground penetrating radars(GPR) based on compressive sensing(CS) by exploiting sparseness in two dimensional FFT of B-scan data.Linear projections of the returned signal with random vectors generated by Mersenne Twister algorithm are taken as measurements.Half-quadric is used to solve l1 minimization.Using experimental GPR data,it is shown that the number of acquisition data is only the 1/15 of the number usually considered necessary.
Keywords:ground penetrating radars  compressive sensing  data acquisition  
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