基于多帧超分辨率的方位向多通道星载SAR非均匀采样信号重建方法

赵庆超 张毅 王宇 王伟 王翔宇

赵庆超, 张毅, 王宇, 王伟, 王翔宇. 基于多帧超分辨率的方位向多通道星载SAR非均匀采样信号重建方法[J]. 雷达学报, 2017, 6(4): 408-419. doi: 10.12000/JR17035
引用本文: 赵庆超, 张毅, 王宇, 王伟, 王翔宇. 基于多帧超分辨率的方位向多通道星载SAR非均匀采样信号重建方法[J]. 雷达学报, 2017, 6(4): 408-419. doi: 10.12000/JR17035
Zhao Qingchao, Zhang Yi, Wang Robert, Wang Wei, Wang Xiangyu. Signal Reconstruction Approach for Multichannel SAR in Azimuth Based on Multiframe Super resolution[J]. Journal of Radars, 2017, 6(4): 408-419. doi: 10.12000/JR17035
Citation: Zhao Qingchao, Zhang Yi, Wang Robert, Wang Wei, Wang Xiangyu. Signal Reconstruction Approach for Multichannel SAR in Azimuth Based on Multiframe Super resolution[J]. Journal of Radars, 2017, 6(4): 408-419. doi: 10.12000/JR17035

基于多帧超分辨率的方位向多通道星载SAR非均匀采样信号重建方法

doi: 10.12000/JR17035
基金项目: 国家自然科学基金优秀青年基金(61422113),国家万人计划-青年拔尖人才,中科院百人计划,L波段差分干涉SAR项目
详细信息
    作者简介:

    赵庆超(1987–),男,山东人,中国科学院电子学研究所电子与通信工程专业硕士研究生,研究方向为多通道星载SAR信号处理。E-mail: zqc_nudt@163.com

    张 毅(1971–),男,上海人,现为中国科学院电子学研究所研究员,硕士生导师,研究方向为高速数字信号处理、合成孔径雷达信号处理新技术研究、合成孔径雷达系统设计等。E-mail: zhangyi@mail.ie.ac.cn

    王 宇(1980–),男,河南人,现为中国科学院电子学研究所研究员,博士生导师,研究方向为SAR系统设计与信号处理技术。E-mail: yuwang@mail.ie.ac.cn

    王 伟(1985–),男,河北人,毕业于中国科学院电子学研究所,获得博士学位,现为中国科学院电子学研究所助理研究员,研究方向为新体制星载SAR系统设计和信号处理。E-mail: ww_nudt@sina.com

    王翔宇(1990–),男,天津人,中国科学院电子学研究所通信与信息系统专业博士研究生,研究方向为高分宽测模式信号处理技术。E-mail: wangxiangyu13@mails.ucas.ac.cn

    通讯作者:

    赵庆超   zqc_nudt@163.com

Signal Reconstruction Approach for Multichannel SAR in Azimuth Based on Multiframe Super resolution

Funds: The National Natural Science Foundation of China (61422113), The National Ten Thousand Talent Program-Young Top Notch Talent Program, The Hundred Talents Program of the Chinese Academy of Sciences, The TWIn-L SAR (Terrain Wide-swath Interferometry L-band SAR) Program
  • 摘要: 方位向多通道技术是星载合成孔径雷达(Synthetic Aperture Radar, SAR)同时实现高分辨率宽测绘带成像的有效手段,对于方位向多通道星载SAR系统,当脉冲重复频率(Pulse Repetition Frequency, PRF)不满足均匀采样条件时方位向信号被非均匀采样,成像前需进行均匀化重建。该文创新性地提出以数字图像处理(Digital Image Processing, DIP)领域多帧超分辨率的思路解决方位向多通道星载SAR非均匀采样信号重建问题,并总结给出了多帧超分辨处理的一般方法。仿真与实测数据实验验证了方法的有效性,且在复杂度性能上具有一定优势。该文第1次建立了方位向多通道星载SAR非均匀采样信号重建与多帧超分辨率问题的联系,为这一信号重建问题的解决提供一种新的思路。
  • 图  1  单帧及多帧超分辨率模型

    Figure  1.  Model for single image and multiframe super resolution

    图  2  方位向三通道系统模型与收发几何

    Figure  2.  Model and geometry for azimuth 3 channels system

    图  3  方位向三通道系统采样场景

    Figure  3.  The sampling scenario of anazimuth 3 channels system

    图  4  多帧超分辨率与多通道SAR信号重建对比

    Figure  4.  Comparison of multiframe super resolution and signal reconstruction of multichannel SAR system

    图  5  仅考虑几何变换的图像退化模型

    Figure  5.  Image degradation model with only geometric transformation considered

    图  6  图像(信号)退化模型求逆

    Figure  6.  Inverse of image (signal) degradation model

    图  7  多帧超分辨处理的一般流程

    Figure  7.  General process for multiframe super-resolution

    图  8  PRF满足均匀采样条件时仿真结果

    Figure  8.  Simulation results for the uniform sampling situation

    图  9  PRF不满足均匀采样条件时仿真结果

    Figure  9.  Simulation results for the nonuniform sampling situation

    图  10  非均匀采样重建后仿真结果

    Figure  10.  Simulation results for the nonuniform sampling situation after reconstruction

    图  11  方位向压缩结果局部放大

    Figure  11.  Partial enlarged drawing of the compression result in azimuth

    图  12  实验用数据获取方法

    Figure  12.  Acquisition method of the data for experiments

    图  13  通道1及两通道不做重建成像结果

    Figure  13.  The images obtained from the first channel and the unreconstructed nonuniform data

    图  14  信号均匀化重建后成像结果

    Figure  14.  The images obtained after signal reconstruction

    图  15  实测数据点目标方位向切片

    Figure  15.  Zoomed azimuth cut of the point target in the image with both methods

    图  16  滤波器组方法的处理流程

    Figure  16.  The realization of filter group method

    表  1  方位向多通道星载SAR系统参数

    Table  1.   The parameters for a spaceborne azimuth multichannel system

    系统参数 数值
    载波波长(m) 0.0311
    方位向通道数 4
    理想脉冲重复频率(Hz) 1247
    载荷飞行速度(m/s) 7483
    方位向子孔径间距(m) 3
    多普勒带宽(Hz) 4000
    下载: 导出CSV
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