Advanced Search
Volume 36 Issue 5
Jun.  2014
Turn off MathJax
Article Contents
He Bo, Li Jun, Lin Jia-ru, Wu Wei-ling. Adaptive Predicted Repeat GBN-ARQ Algorithm in TDD Slowly Fading Channel[J]. Journal of Electronics & Information Technology, 2006, 28(11): 2086-2089.
Citation: Xing Tao, Li Jun, Wang Guan-Yong, Hu Qing-Rong. An Along-track Motion Compensation Algorithm Based on Non-Uniform Fast Fourier Transform (NUFFT) for SAR[J]. Journal of Electronics & Information Technology, 2014, 36(5): 1023-1029. doi: 10.3724/SP.J.1146.2013.00969

An Along-track Motion Compensation Algorithm Based on Non-Uniform Fast Fourier Transform (NUFFT) for SAR

doi: 10.3724/SP.J.1146.2013.00969
  • Received Date: 2013-07-04
  • Rev Recd Date: 2013-11-28
  • Publish Date: 2014-05-19
  • The non-equispaced along-track motion has serious impact on SAR imaging. The SAR images are geometric distorted after the along-track motion compensation, which may impair the quality of the sub-image connection and the multi-spectral SAR image fusion. When the along-track velocity error is large the remained geometric distortion after the interpolation geometric distortion correction can not be ignored. In this paper, a SAR motion compensation algorithm is presented based on Non-Uniform Fast Fourier Transform (NUFFT) directly to the azimuth non-equispaced data. The algorithm has 1 to 2 quantitative reduction in location error and geometric distortion than interpolation geometric distortion correction algorithm and has high robustness on along-track velocity error. At the same time, the amplitude and phase information can both be saved based on the proposed algorithm. The results of the NUFFT compensation for simulated data and the real SAR data verify the effectiveness of the proposed algorithm.
  • Cited by

    Periodical cited type(7)

    1. 张军,姜文涛,张云,罗婷倚,余秋琴,杨哲. 基于极限梯度提升和探地雷达时频特征的水泥路面脱空识别. 同济大学学报(自然科学版). 2024(01): 104-114+121 .
    2. 李爽,张潇巍,谭旭,徐凌飞,吕生华,文剑. 基于深度学习的树木根系探地雷达多目标参数反演识别. 北京林业大学学报. 2024(04): 103-114 .
    3. 甘海铭,闫坤,辛文凯,刘宗辉. 改进预测反褶积抑制探地雷达多次波方法研究. 计算机仿真. 2024(06): 359-363 .
    4. 白雪,曹涵颖. 基于注意力卷积神经网络的服装款式图廓特征识别方法. 毛纺科技. 2024(07): 116-121 .
    5. 王惠琴,罗佳,何永强,曹明华,高大庆,李佳豪. 改进YOLOv5的探地雷达常见地下管线识别. 地球物理学报. 2024(09): 3588-3604 .
    6. 吴学礼,宋凯,史思远,甄然. 基于PM算法和噪声识别模型的探地雷达降噪方法. 无线电工程. 2024(10): 2279-2287 .
    7. 许德根. 基于Daubechies小波域KL变换的探地雷达信号处理. 工程技术研究. 2022(11): 13-15 .

    Other cited types(9)

  • 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

    Article Metrics

    Article views (2523) PDF downloads(1080) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return