基于特征分解的方位向多通道SAR相位失配校正方法

范怀涛 张志敏 李宁

范怀涛, 张志敏, 李宁. 基于特征分解的方位向多通道SAR相位失配校正方法[J]. 雷达学报, 2018, 7(3): 346-354. doi: 10.12000/JR17012
引用本文: 范怀涛, 张志敏, 李宁. 基于特征分解的方位向多通道SAR相位失配校正方法[J]. 雷达学报, 2018, 7(3): 346-354. doi: 10.12000/JR17012
Fan Huaitao, Zhang Zhimin, Li Ning. Channel Phase Mismatch Calibration for Multichannel in Azimuth SAR Imaging Based on Eigen-structure Method[J]. Journal of Radars, 2018, 7(3): 346-354. doi: 10.12000/JR17012
Citation: Fan Huaitao, Zhang Zhimin, Li Ning. Channel Phase Mismatch Calibration for Multichannel in Azimuth SAR Imaging Based on Eigen-structure Method[J]. Journal of Radars, 2018, 7(3): 346-354. doi: 10.12000/JR17012

基于特征分解的方位向多通道SAR相位失配校正方法

doi: 10.12000/JR17012
基金项目: 国家自然科学基金(61422113,61601437)
详细信息
    作者简介:

    范怀涛(1990–),男,2012年毕业于中国海洋大学获得理学学士学位,现为中国科学院电子学研究所博士研究生。主要研究方向为方位多通道合成孔径雷达信号处理。E-mail: huaitaofan@163.com

    张志敏(1971–),男,博士生导师,中国科学院电子学研究所研究员,1995年毕业于中国科学院研究生院获得硕士学位。主要研究方向为合成孔径雷达系统总体设计和信号处理。E-mail: zmzhang@mail.ie.ac.cn

    李宁:李   宁(1987–),男,中国科学院电子学研究所助理研究员,2015年毕业于中国科学院大学获得工学博士学位。主要研究方向为合成孔径雷达信号处理。E-mail: nli@mail.ie.ac.cn

    通讯作者:

    范怀涛   huaitaofan@163.com

Channel Phase Mismatch Calibration for Multichannel in Azimuth SAR Imaging Based on Eigen-structure Method

Funds: The National Natural Science Foundation of China (61422113, 61601437)
  • 摘要: 作为实现高分辨率宽幅成像的重要技术手段之一,方位多通道合成孔径雷达(Synthetic Aperture Radar, SAR)近年来得到了广泛的研究与发展。在进行多通道数据重建之前,通道之间的传输特性必须校正一致,以避免图像中出现严重的虚假目标。在多通道SAR数据处理中,精确的基带多普勒中心估计对系统的通道失配校正和高分辨率成像具有非常重要的意义。但是单一通道数据的多普勒频谱混叠制约了传统基带多普勒中心估计算法在方位多通道SAR系统中的应用。基于特征分解处理,该文提出一种新的基带多普勒中心估计方法。该方法在推导过程中考虑了波束指向存在斜视的影响,能够实现方位多通道SAR系统基带多普勒中心和通道间相位误差的鲁棒估计。仿真实验和C波段方位向四通道机载SAR实验数据处理分析验证了算法的有效性。

     

  • 图  1  方位向多通道HRWS SAR系统

    Figure  1.  Multichannel in azimuth HRWS SAR system

    图  2  斜视情况多普勒频谱

    Figure  2.  Doppler spectrum in squint situation

    图  3  仿真实验结果

    Figure  3.  Experimental results of simulation

    图  4  数据重采样过程(红色实心圆点表示原始多通道数据,黑色实心圆点表示重采样之后的多通道数据)

    Figure  4.  Process of resampling original experimental data (red solid dots represent original experimental data, and black solid dots represent resampled data)

    图  5  机载SAR实验数据处理结果

    Figure  5.  Experimental results using airborne SAR data

    图  6  C波段四通道机载SAR实验数据成像结果

    Figure  6.  Imaging results of the C-band four channel airborne SAR experimental data

    表  1  星载仿真实验参数

    Table  1.   System parameters of simulated spaceborne experiment

    系统参数 数值
    通道数目 4
    信噪比(dB) 40
    轨道高度(km) 630
    平台速度(m/s) 7545
    载频(GHz) 5.4
    发射信号带宽(MHz) 80
    脉冲重复频率(Hz) 1257.5
    多普勒带宽(Hz) 2515
    下载: 导出CSV

    表  2  仿真实验相位误差设置

    Table  2.   Phase mismatch set in simulated experiment

    通道 相位误差(rad)
    通道1
    通道2 0.5
    通道3 0.15
    通道4 0.75
    下载: 导出CSV

    表  3  仿真实验相位误差和基带多普勒中心估计结果

    Table  3.   Estimation of phase mismatch and baseband Doppler centroid in simulated experiment

    通道 相位失配(rad) 基带多普勒中心估计(Hz)
    预设 估计 预设 估计
    通道1
    通道2 0.50 0.4999 100 100.85
    通道3 0.15 0.1496 100 100.64
    通道4 0.75 0.7495 100 100.25
    下载: 导出CSV

    表  4  C波段方位向四通道机载SAR实验参数

    Table  4.   Experimental parameters of C-band azimuth four channel airborne SAR system

    系统参数 数值
    通道数目 4
    平台高度(m) 8600
    平台速度(m/s) 129.64
    载频(GHz) 5.4
    发射信号带宽(MHz) 210
    方位向天线尺寸(m) 0.624
    脉冲重复频率(Hz) 137.19
    下载: 导出CSV

    表  5  C波段四通道机载SAR实验数据处理结果

    Table  5.   Experimental results of C-band four channel airborne SAR system

    通道 相位失配(rad) 系统多普勒中心(Hz)
    通道1
    通道2 1.058 –34.57
    通道3 0.994 –34.18
    通道4 1.577 –34.29
    下载: 导出CSV
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出版历程
  • 收稿日期:  2017-01-24
  • 修回日期:  2017-03-15
  • 网络出版日期:  2018-06-28

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