Compressive Sensing for GPR Data Acquisition

LU Ce-wu; LIU Xiao-jun; FANG Guang-you

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Compressive Sensing for GPR Data Acquisition

更新时间：2025-07-16

- Compressive Sensing for GPR Data Acquisition
- Acta Electronica Sinica Vol. 39, Issue 9, Pages: 2204-2206(2011)
- 作者机构：
  
  中国科学院电子学研究所,北京,100080
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN782
- Published：2011
- 稿件说明：
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LU Ce-wu, LIU Xiao-jun, FANG Guang-you. Compressive Sensing for GPR Data Acquisition[J]. Acta Electronica Sinica, 2011, 39(9): 2204-2206.
DOI：

LU Ce-wu, LIU Xiao-jun, FANG Guang-you. Compressive Sensing for GPR Data Acquisition[J]. Acta Electronica Sinica, 2011, 39(9): 2204-2206. DOI：

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

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.

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

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.

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Related Institution

Department of Electronic Engineering, Beijing Institute of Technology

100081

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