Volume 9 Issue 5
Oct.  2020
Turn off MathJax
Article Contents
Article Navigation >  Journal of Radars  > 2020  >  9(5): 878-885
CUI Lei, QIU Xiaolan, GUO Jiayi, et al. Multi-channel phase error estimation method based on an error backpropagation algorithm for a multichannel SAR[J]. Journal of Radars, 2020, 9(5): 878–885. doi: 10.12000/JR20096
Citation: CUI Lei, QIU Xiaolan, GUO Jiayi, et al. Multi-channel phase error estimation method based on an error backpropagation algorithm for a multichannel SAR[J]. Journal of Radars, 2020, 9(5): 878–885. doi: 10.12000/JR20096
shu

Multi-channel Phase Error Estimation Method Based on an Error Backpropagation Algorithm for a Multichannel SAR

doi: 10.12000/JR20096
  • 1.

    Institute of Electronics, Chinese Academy of Sciences, Suzhou Research Center, Suzhou 215123, China

  • 2.

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China

  • 3.

    National Key Lab of Microwave Imaging Technology, Beijing 100190, China

Funds:  The National Natural Science Foundation of China (61991420, 61991421)
More Information
  • Corresponding author: CUI lei, cuilei1167@163.com; QIU Xiaolan, xlqiu@mail.ie.ac.cn
  • Received Date: 2020-07-07
  • Rev Recd Date: 2020-09-04
    • Available Online: 2020-09-28
  • Publish Date: 2020-10-28
    Abstract
  • An azimuth multi-channel Synthetic Aperture Radar (SAR) can be used to obtain high-resolution wide-swath SAR images. Accurate estimation of the phase error between channels is the key to ensuring image quality. In this study, we present a channel phase error estimation method based on the error backpropagation algorithm. During the physical process of a multi-channel SAR echo generation, this method constructs an observation matrix with the parameters to be estimated including the phase error between channels. The initial SAR echo is generated using the initial channel error matrix and initial target scattering coefficient matrix, and the error between the echo and measured multi-channel SAR echo is calculated. Using the backpropagation algorithm commonly used in deep learning, the abovementioned parameters are continuously trained and optimized. Finally, the estimation of the phase error between channels is obtained along with the target scattering coefficient. This method combines the error backpropagation method with the principle of multi-channel SAR channel error. Phase estimation and imaging are realized based on the sparsity assumption, which provides a new approach for estimating an error in a multi-channel SAR. The effectiveness of the presented method is validated using multi-channel SAR simulation data.

     

    • FullText(HTML)
  • loading
    • References(19)
  • [1]
    FREEMAN A, JOHNSON W T K, HUNEYCUTT B, et al. The “Myth” of the minimum SAR antenna area constraint[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(1): 320–324. doi: 10.1109/36.823926
    [2]
    MOREIRA J, SCHWABISCH M, FORNARO G, et al. X-SAR interferometry: First results[J]. IEEE Transactions on Geoscience and Remote Sensing, 1995, 33(4): 950–956. doi: 10.1109/36.406681
    [3]
    JIN Tingting, QIU Xiaolan, HU Donghui, et al. Unambiguous imaging of static scenes and moving targets with the first Chinese Dual-Channel spaceborne SAR sensor[J]. Sensors, 2017, 17(8): 1709. doi: 10.3390/s17081709
    [4]
    刘艳阳, 李真芳, 杨桃丽, 等. 一种单星方位多通道高分辨率宽测绘带SAR系统通道相位偏差时域估计新方法[J]. 电子与信息学报, 2012, 34(12): 2913–2919. doi: 10.3724/SP.J.1146.2012.00562

    LIU Yanyang, LI Zhenfang, YANG Taoli, et al. A novel channel phase bias estimation method for spaceborne along-track multi-channel HRWS SAR in time-domain[J]. Journal of Electronics &Information Technology, 2012, 34(12): 2913–2919. doi: 10.3724/SP.J.1146.2012.00562
    [5]
    LI Zhenfang, BAO Zheng, WANG Hongyang, et al. Performance improvement for constellation SAR using signal processing techniques[J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(2): 436–452. doi: 10.1109/TAES.2006.1642562
    [6]
    张磊, 全英汇, 邢孟道, 等. 一种子空间投影的高分辨宽测绘带SAR成像通道均衡方法[J]. 电子与信息学报, 2010, 32(1): 1–6. doi: doi:10.3724/SP.J.1146.2008.01821

    ZHANG Lei, QUN Yinghui, XING Mengdao, et al. An SSP based channel calibration for high-resolution and wide-swath sar imagery[J]. Journal of Electronics &Information Technology, 2010, 32(1): 1–6. doi: doi:10.3724/SP.J.1146.2008.01821
    [7]
    杨桃丽, 李真, 刘艳阳, 等. 两种星载高分辨宽测绘带SAR系统通道相位误差估计方法[J]. 电子学报, 2013, 41(5): 931–935. doi: 10.3969/j.issn.0372-2112.2013.05.016

    YANG Taoli, LI Zhen, LIU Yanyang, et al. Two channel phase error estimation methods for spaceborne HRWS SAR system[J]. Acta Electronica Sinica, 2013, 41(5): 931–935. doi: 10.3969/j.issn.0372-2112.2013.05.016
    [8]
    LIU Yanyang, LI Zhenfang, YANG Taoli, et al. An adaptively weighted least square estimation method of channel mismatches in phase for multichannel SAR systems in azimuth[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(2): 439–443. doi: 10.1109/LGRS.2013.2264771
    [9]
    JIN Tingting, QIU Xiaolan, and HU Donghui. Estimation accuracy and Cramér–Rao Lower bounds for errors in multichannel HRWS SAR systems[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(12): 1772–1776. doi: 10.1109/LGRS.2016.2608386
    [10]
    ZHANG L, XING M D, QIU C W, et al. Adaptive two-step calibration for high resolution and wide-swath SAR imaging[J]. IET Radar, Sonar & Navigation, 2010, 4(4): 548–559.
    [11]
    GEBERT N and KRIEGER G. Azimuth phase center adaptation on transmit for high-resolution wide-swath SAR imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(4): 782–786. doi: 10.1109/LGRS.2009.2025245
    [12]
    王志斌, 刘艳阳, 李真芳, 等. 基于多普勒谱优化的HRWS SAR系统通道相位偏差估计算法[J]. 电子与信息学报, 2016, 38(12): 3026–3033. doi: 10.11999/JEIT161038

    WANG Zhibin, LIU Yanyang, LI Zhenfang, et al. Phase bias estimation algorithm for HRWS SAR system in azimuth based on Doppler spectrum optimization[J]. Journal of Electronics &Information Technology, 2016, 38(12): 3026–3033. doi: 10.11999/JEIT161038
    [13]
    束宇翔. 分布式卫星多相位中心SAR-GMTI技术研究[D]. [博士论文], 西安电子科技大学, 2014.

    SHU Yuxiang. Research on techniques of SAR-GMTI for distributed satellite SAR systems with multiple phase centers[D]. [Ph. D. dissertation], Xidian University, 2014.
    [14]
    JANOTH J, JOCHUM M, PETRAT L, et al. High resolution wide swath–the next generation X-band mission[C]. 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019: 3535–3537.
    [15]
    HAWKES M, NEHORAI A, STOICA P. Performance breakdown of subspace-based methods: Prediction and cure[C]. 2001 IEEE International Conference on Acoustics, Speech, and Signal. Salt Lake City, USA, 2001.
    [16]
    SHANG Mingyang, QIU Xiaolan, HAN Bing, et al. Channel imbalances and along-track baseline estimation for the GF-3 azimuth multichannel mode[J]. Remote Sensing, 2019, 11(11): 1297. doi: 10.3390/rs11111297
    [17]
    ZHANG Linjian, GAO Yesheng, and LIU Xingzhao. Robust channel phase error calibration algorithm for multichannel high-resolution and wide-swath SAR imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(5): 649–653. doi: 10.1109/LGRS.2017.2668390
    [18]
    YANG Taoli, LI Zhenfang, LIU Yanyang, et al. Channel error estimation methods for multi-channel HRWS SAR systems[C]. 2013 IEEE International Geoscience and Remote Sensing Symposium, Melbourne, Australia, 2013.
    [19]
    DE ALMEIDA F Q, YOUNIS M, KRIEGER G, et al. An analytical error model for Spaceborne SAR multichannel azimuth reconstruction[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15(6): 853–857. doi: 10.1109/LGRS.2018.2811786
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML
    Article views(1637) PDF downloads(108) Cited by()
    Proportional views
    Related

    京ICP备20021838号-8   Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return