项目名称: 基于压缩感知的频率步进连续波探地雷达数据获取与稳健高效成像重建方法研究
项目编号: No.61302172
项目类型: 青年科学基金项目
立项/批准年度: 2014
项目学科: 无线电电子学、电信技术
项目作者: 屈乐乐
作者单位: 沈阳航空航天大学
项目金额: 25万元
中文摘要: 由于频率步进连续波探地雷达系统具有较高的动态范围和较强的射频抗干扰能力等优点,近年来在探地雷达领域受到越来越多的关注。随着探地雷达技术应用需求的进一步推动,探地雷达不断朝着多通道、多极化、多波段和高分辨率方向发展,这使得频率步进探地雷达系统存在数据采集量大和数据采集时间长等缺点。针对上述问题,本课题以压缩感知理论为基础,研究性能良好且易实现的频率步进探地雷达压缩感知测量方式以建立合适的稀疏基与待采样数据间的映射关系,减小数据采集量和数据采集时间;研究建立合适的压缩感知频率步进探地雷达偏移和衍射层析成像模型;在分析研究成像分辨率与重建误差的基础上研究稳健高效的压缩感知成像重建算法从而实现对地下目标的位置、形状和电磁参数等特征信息的快速准确重建。课题的研究对频率步进连续波体制探地雷达的理论研究和工程实现具有重要意义。
中文关键词: 频率步进连续波探地雷达;压缩感知;成像方法;;
英文摘要: Since stepped frequency continuous wave ground penetrating radar (SFCW-GPR) has many advantages such as wider dynamic range and higher immunity to radio-interference, the SFCW modulation technique is becoming increasingly popular in GPR community. With the motivation of various application requirements, the GPR systems are continually developing on the direction of mutiple-channel, mutiple-polarization, mutiple-waveband, and high-resolution. The SFCW-GPR system suffers from the bottlenecks of huge data samples and long data collection time etc.To overcome these problems,this program will discuss the applicability of the compressive sensing (CS) theory to practical SFCW-GPR system. This program is to research the reliable and realizable CS SFCW-GPR measurement strategy to reduce the number and collection time of the sampled data; research the reasonable CS SFCW-GPR migration and diffraction tomography imaging model; research the robust and efficient CS image reconstruction algorithm to obtain the accurate locations, shapes, and dielectric properties of the buried objects.It is believed that this project is of significance to theroy reseach and engineering implementation for SFCW-GPR.
英文关键词: SFCW-GPR;compressive sensing;imaging method;;