节点文献
基于压缩感知的二维成像方法研究
Two-Dimensional Imaging Method Based on Compressed Sensing
【Author】 Huang Hongbin;Li Shiyong;Ren Bailing;Sun Houjun;Beijing Institute of Technology;
【机构】 北京理工大学信息学院;
【摘要】 对目前的雷达成像系统大部分都是基于奈奎斯特采样定理对信号进行采样处理,在大场景和高分辨率的成像需求下,需要采集大量的数据和较长的采集时间,从而增加了系统实现难度。本文将压缩感知理论和雷达成像原理结合,提出了一种能够降低采样所需时间、同时大幅减少所需采样数据量的成像方法,能够精确的恢复出原始数据并进行成像。
【Abstract】 Current radar imaging system is mostly based on the Nyquist sampling theorem,however,when it faced to the big scene and high resolution imaging demand,it will need to collect a large amount of data and cost lots of time,so as to increase the difficult to realize it.This paper combined the compressed sensing theory and radar imaging principle and come up with a new imaging method,it can greatly reduce the time of data collection and the number of samples needed after stored data quantity,and can accurately recover the original data and imaging.
【Key words】 Compressed-Sensing Theory; Two-Dimensional Imaging; Synthetic aperture radar; Radar imaging;
- 【会议录名称】 2013年全国微波毫米波会议论文集
- 【会议名称】2013年全国微波毫米波会议
- 【会议时间】2013-05-21
- 【会议地点】中国重庆
- 【分类号】TN957.52
- 【主办单位】中国电子学会(Chinese Institute of Electronics)