一种新的步进频MIMO-SAR带宽合成的处理方法

doi:10.3969/j.issn.1001-2400.2018.02.025

西安电子科技大学学报

一种新的步进频MIMO-SAR带宽合成的处理方法

景国彬1;孙光才1;邢孟道1;郭睿2;保铮1

(1. 西安电子科技大学雷达信号处理国家重点实验室，陕西西安 710071;
2. 西北工业大学自动化学院，陕西西安 710072)

收稿日期:2017-05-16 出版日期:2018-04-20 发布日期:2018-06-06
作者简介:景国彬(1990-)，男，西安电子科技大学博士研究生，E-mail: Guobinjing01@163.com
基金资助:
国家高技术研究与发展计划(863计划)资助项目(2013AA122202)；国家自然科学基金资助项目(61222108)

Novel two-step method of bandwidth synthesis for SF-MIMO-SAR

JING Guobin1;SUN Guangcai1;XING Mengdao1;GUO Rui2;BAO Zheng1

(1. National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China;
2. School of Automation, Northwestern Polytechnical Univ., Xi'an 710072, China)

Received:2017-05-16 Online:2018-04-20 Published:2018-06-06

摘要/Abstract

摘要：

针对步进频多发多收合成孔径雷达通道间存在相位误差影响距离带宽合成的问题，提出了一种基于回波数据的通道误差估计的两步处理方法．首先，提出一种距离向相位调整的对比度增强算法来估计子带内高阶相位误差，通过补偿得到聚焦的子带信号; 接着，对子带信号进行上采样和频谱移动，建立了一种旁瓣平衡模型，并推导得到旁瓣偏离率和常数相位误差的关系表达式，将实测数据的旁瓣偏离率代入便可计算得到通道间的常数相位误差．通过以上两步估计补偿后，在频率域完成步进频信号带宽合成，实现分辨率的提升．对实测数据进行处理，得到0.06m的距离分辨率，并对补偿前后合成孔径雷达成像结果进行对比分析，验证了该方法的正确性和高效性．

关键词: 带宽合成, 步进频, 旁瓣平衡模型, 旁瓣偏离率

Abstract:

For stepped frequency multiple-input and multiple-output synthetic aperture radar (SF-MIMO-SAR), the result of bandwidth synthesis in range is affected by channel phase mismatch. In order to solve this problem, this paper proposes a two-step error estimation method based on echo data. First, aiming to optimize the focus sub-band image, phase adjustment by contrast enhancement algorithm is modified to estimate high-order phase errors in range. Then, the sub-band signal is up-sampled, shifted, and the model of balanced side-lobe is proposed to calculate and compensate the constant phase error. After the above compensation, we will obtain the synthesized SAR image with the resolution of 0.06 meter in range, and experimental data demonstrate the effectiveness of the proposed method.

Key words: bandwidth synthesis, stepped frequency, side-lobe balanced model, side-lobe deviation rate

景国彬;孙光才;邢孟道1郭睿;保铮. 一种新的步进频MIMO-SAR带宽合成的处理方法[J]. 西安电子科技大学学报, 2018, 45(2): 148-153+159.

JING Guobin;SUN Guangcai;XING Mengdao;GUO Rui;BAO Zheng. Novel two-step method of bandwidth synthesis for SF-MIMO-SAR[J]. Journal of Xidian University, 2018, 45(2): 148-153+159.

参考文献

［1］邢孟道, 保铮, 李真芳, 等. 雷达成像算法进展［M］. 北京: 电子工业出版社, 2014: 8-25.
［2］ KRIEGER G. MIMO-SAR: Opportunities and Pitfalls［J］. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(5): 2628-2645.
［3］ LUO X L, WANG R, DENG Y, et al. Influences of Channel Errors and Interference on the OFDM-MIMO SAR［C］//Proceedings of the 2013 IEEE National Radar Conference. Piscataway: IEEE, 2013: 6585971.
［4］ ZHANG S X, XING M D, XIA X G, et al. Multichannel HRWS SAR Imaging Based on Range-variant Channel Calibration and Multi-Doppler-direction Restriction Ambiguity Suppression［J］. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(7): 4306-4327.
［5］ D'ARIA D, FERRETTI A, GUARNIERI A M, et al. SAR Calibration Aided by Permanent Scatterers［J］. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(4): 2076-2086.
［6］ WANG X Y, WANG R, DENG Y, et al. Precise Calibration of Channel Imbalance for Very High Resolution SAR with Stepped Frequency［J］. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(8): 4252-4261.
［7］贺彩霞, 李敏慧, 雷万明, 等. 机载超高分辨率SAR内定标技术研究［J］. 现代雷达, 2016, 38(2): 15-18.
HE Caixia, LI Minhui, LEI Wanming, et al. A Study on Internal Calibration Technique for Airborne Super-resolution SAR［J］. Modern Radar, 2016, 38(2): 15-18.
［8］ ZENG L T, LIANG Y, XING M D, et al. A Novel Motion Compensation Approach for Airborne Spotlight SAR of High-resolution and High-squint Mode［J］. IEEE Geoscience and Remote Sensing Letters, 2016, 13(3): 429-434.
［9］ SHANNO D F, PHUA K H. Minimization of Unconstrained Multivariate Functions［J］. ACM Transactions on Mathematical Software, 1980, 6(4): 618-622.
［10］邵鹏, 邢孟道, 李学仕, 等. 一种新的频域带宽合成的斜视高分辨SAR成像方法［J］. 西安电子科技大学学报, 2015, 42(2): 28-33.
SHAO Peng, XING Mengdao, LI Xueshi, et al. Squinted High Resolution SAR Based on the Frequency Synthetic Bandwidth［J］. Journal of Xidian University, 2015, 42(2): 28-33.
［11］景国彬, 盛佳恋, 陈溅来, 等. 一种强杂波背景下SAR目标超分辨成像方法［J］. 西安电子科技大学学报, 2016, 43(5): 12-17.
JING Guobin, SHENG Jialian, CHEN Jianlai, et al. Spuer-resolution Imaging Method for the SAR Target in a Strong Clutter Scene［J］. Journal of Xidian University, 2016, 43(5): 12-17.
［12］ XU G, XING M D, ZHANG L, et al. Robust Autofocusing Approach for Highly Squinted SAR Imagery Using the Extended Wavenumber Algorithm［J］. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(10): 5031-5046.
［13］景国彬, 张云骥, 孙光才, 等. 一种三维地面场景SAR回波仿真的快速实现方法［J］. 西安电子科技大学学报, 2017, 44(3): 1-7.
JING Guobin, ZHANG Yunji, SUN Guangcai, et al. Fast Method of SAR Echo Simulation for Three-dimensional Ground Scene［J］. Journal of Xidian University, 2017, 44(3): 1-7.
［14］ SHAO P, Xing M D, Xia X G, et al. Autofocus Algorithm Using Blind Homomorphic Deconvolution for Synthetic Aperture Radar Imaging［J］. IET Radar, Sonar and Navigation, 2015, 9(7): 900-906.

[1]	邵鹏;邢孟道;李学仕;李亚超 . 一种新的频域带宽合成的斜视高分辨SAR成像方法[J]. J4, 2015, 42(2): 28-34.
[2]	吴明宇;杨桃丽;吴顺君;李真芳. 步进调频SAR子带误差估计新方法[J]. J4, 2014, 41(4): 41-46+70.
[3]	王俊;张守宏;刘宏伟. 步进频率信号长相参积累实现方法[J]. J4, 2001, 28(3): 373-378.
[4]	张群;张涛;马长征. 步进频率逆合成孔径雷达成像的一种运动补偿方法[J]. J4, 2000, 27(3): 270-273.
[5]	张涛;马长征;张守宏. 一种新的ISAR-FS成像运动补偿方法[J]. J4, 2000, 27(1): 65-70.
[6]	朱哲勇;沈福民;陈伯孝. 基于DSP的步进频率雷达仿真信号源的研制[J]. J4, 1999, 26(6): 705-709.
[7]	暂时无作者信息. 毫米波单脉冲雷达目标二维结构成像方法[J]. J4, 1999, 26(3): 281-286.
[8]	刘峥;刘宏伟;张守宏. 步进频率信号分析[J]. J4, 1999, 26(1): 0-0.

一种新的步进频MIMO-SAR带宽合成的处理方法

Novel two-step method of bandwidth synthesis for SF-MIMO-SAR

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