王帅1,2,3,,
李道京1,2,,
卢晓春4,
1.中国科学院空天信息创新研究院 北京 100094
2.微波成像技术重点实验室 北京 100190
3.中国科学院大学 北京 100049
4.中国科学院国家授时中心 西安 710600
基金项目:国家高分重大专项共性关键技术(30-H30C01-9004-19/21)
详细信息
作者简介:潘洁:潘 洁(1977–),女,四川人,中国科学院空天信息创新研究院高级工程师,博士生,研究方向为稀疏阵列雷达系统。E-mail: panjie@aircas.ac.cn
王帅:王 帅(1992–),男,安徽阜阳人,中国科学院空天信息创新研究院博士生,研究方向为合成孔径雷达成像技术。E-mail: wangshuai161@mils.ucas.edu.cn
李道京(1964–),男,陕西西安人,中国科学院空天信息创新研究院研究员,博士生导师,主要研究方向为雷达系统和雷达信号处理。E-mail: lidj@mail.ie.ac.cn
卢晓春(1970–),女,中国科学院授时中心研究员,博士生导师,研究方向为精密时间信息传输与信息处理。E-mail: luxc@ntsc.ac.cn
通讯作者:潘洁 panjie@aircas.ac.cn
中图分类号:TN951计量
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被引次数:0
出版历程
收稿日期:2019-06-14
修回日期:2019-11-20
网络出版日期:2019-12-04
High-resolution Wide-swath SAR Moving Target Imaging Technology Based on Distributed Compressed Sensing
PAN Jie1,3,,,WANG Shuai1,2,3,,
LI Daojing1,2,,
LU Xiaochun4,
1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
2. National Key Lab of Microwave Imaging Technology, Beijing 100190, China
3. University of Chinese Academy of Sciences, Beijing 100049, China
4. National Time Service Center, Chinese Academy of Sciences, Xian 710600, China
Funds:The Key Standard Technologies of National High Resolution Special?(30-H30C01-9004-19/21)
More Information
Corresponding author:PAN Jie, panjie@aircas.ac.cn
摘要
摘要:高分宽幅SAR动目标成像对目标跟踪具有重要的意义,常规天基多通道SAR技术要实现高分宽幅动目标成像需要通道数量巨大,系统复杂度过高,而且图像在方位向存在成对回波,形成虚警。针对上述问题,该文提出了一种基于分布式压缩感知的高分宽幅SAR动目标成像技术,在通道数量较大时,通道数量相比常规高分宽幅动目标成像构型通道数量约降低1倍,利用动目标稀疏特性和杂波背景非稀疏特性构建分布式压缩感知观测模型,采用先方位1维分布式压缩感知重建再距离方位2维分布式压缩感知重建,实现杂波背景和稀疏动目标的重建,并抑制多通道SAR动目标成像中的成对回波。结合RADAR-SAT数据的仿真试验结果验证了该技术的有效性。
关键词:合成孔径雷达/
多通道/
高分辨率宽测绘带/
分布式压缩感知/
运动目标显示
Abstract:High-resolution wide-swath SAR moving target imaging is of great significance for target tracking. To achieve target tracking, conversional space-based multichannel SAR technology requires a large number of channels. However, this leads to high system complexity. Moreover, paired false target echoes exist in the azimuth. To address such problems, a high-resolution wide-swath SAR moving target imaging technology based on distributed compressed sensing is proposed in this paper. When the number of channels is large enough, the number of channels is approximately half of that of the conventional high-resolution wide-swath target imaging configuration channel. A distributed compressed sensing observation model is constructed using the sparse property of moving targets and the nonsparse characteristics of the clutter background. Clutter background and sparse moving targets are reconstructed by combining one-dimensional distributed compressed sensing reconstruction in the azimuth and two-dimensional distributed compressed sensing reconstruction in the range-azimuth. Moreover, the paired false target echoes in multichannel SAR moving target are suppressed. The simulation results combined with RADAR-SAT data verify the effectiveness of the proposed technology.
Key words:SAR/
Multi-channel/
High resolution wide swath/
Distributed compressed sensing/
Ground moving target indication
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