Volume 7 Issue 4
Aug.  2018
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Zhao Bo, Huang Lei, Zhou Hanfei, Zhang Liang, Li Qiang, Huang Min. 1-bit SAR Imaging Method Based on Single-frequency Time-varying Threshold[J]. Journal of Radars, 2018, 7(4): 446-454. doi: 10.12000/JR18036
Citation: Zhao Bo, Huang Lei, Zhou Hanfei, Zhang Liang, Li Qiang, Huang Min. 1-bit SAR Imaging Method Based on Single-frequency Time-varying Threshold[J]. Journal of Radars, 2018, 7(4): 446-454. doi: 10.12000/JR18036

1-bit SAR Imaging Method Based on Single-frequency Time-varying Threshold

DOI: 10.12000/JR18036
Funds:  The National Natural Science Foundation of China (U1713217, 61501485, 61501300, 61601300, 61601304), The China Postdoctoral Science Foundation (2015M582413, 2017M610547), The Natural Science foundation of Guangdong Province, China (2015A030311030), The Foundation of Shenzhen City (ZDSYS201507081625213, JCYJ20160520165659418, JCYJ20170302142545828, JCYJ20150324140036835), The Shenzhen University (201557, 2016057)
  • Received Date: 2018-04-28
  • Rev Recd Date: 2018-06-25
  • Publish Date: 2018-08-28
  • This paper proposes a 1-bit Synthetic Aperture Radar (SAR) imaging method based on a single-frequency time-varying threshold. Synthetic aperture radar echoes are quantized to 1-bit sampling data by comparing the data with the threshold; this reduces the data-width of the SAR echoes, consequently simplifying the system and improving efficiency. The conventional 1-bit sampling compares the signal to a zero threshold, bringing nonlinear distortion to the relative amplitude and degrading the imaging quality. The random threshold can keep the amplitude information, but it introduces additional noise-like interferences. In contrary, the single-frequency time-varying threshold can maintain the amplitude information lost during the 1-bit sampling and quantization, and at the same time, eliminate noise-like interferences; thus, the imaging quality of SAR using 1-bit sampling and quantization can be improved. The focusing quality and the amplitude-maintaining ability of the proposed approach is quantitatively analyzed, and the effectiveness of the approach is verified by an imaging experiment on a scene.

     

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  • [1]
    保铮, 邢孟道, 王彤. 雷达成像技术[M]. 北京: 电子工业出版社, 2005: 1–20

    Bao Zheng, Xing Meng-dao, and Wang Tong. Radar Imaging Technology[M]. Beijing: Publishing House of Electronics Industry, 2005: 1–20
    [2]
    邢涛, 胡庆荣, 李军, 等. 毫米波高分辨SAR成像算法性能分析[J]. 现代防御技术, 2015, 43(1): 81–86. DOI: 10.3969/j.issn.1009-086x.2015.01.014

    Xing Tao, Hu Qing-rong, Li Jun, et al. Analysis of millimeter wave high resolution SAR imaging algorithm performances[J]. Modern Defence Technology, 2015, 43(1): 81–86. DOI: 10.3969/j.issn.1009-086x.2015.01.014
    [3]
    王辉, 赵凤军, 邓云凯. 毫米波合成孔径雷达的发展及其应用[J]. 红外与毫米波学报, 2015, 34(4): 452–459. DOI: 10.11972/j.issn.1001-9014.2015.04.013

    Wang Hui, Zhao Feng-jun, and Deng Yun-kai. Development and application of the millimeter wave SAR[J]. Journal of Infrared and Millimeter Waves, 2015, 34(4): 452–459. DOI: 10.11972/j.issn.1001-9014.2015.04.013
    [4]
    邢涛, 胡庆荣, 李军, 等. 机载毫米波高分辨大斜视合成孔径雷达成像[J]. 浙江大学学报(工学版), 2015, 49(12): 2355–2362. DOI: 10.3785/j.issn.1008-973X.2015.12.016

    Xing Tao, Hu Qing-rong, Li Jun, et al. Synthetic aperture radar imaging of airborne millimeter wave with high resolution and high squint[J]. Journal of Zhejiang University(Engineering Science), 2015, 49(12): 2355–2362. DOI: 10.3785/j.issn.1008-973X.2015.12.016
    [5]
    费鹏, 方维海, 温鑫, 等. 用于人员安检的主动毫米波成像技术现状与展望[J]. 微波学报, 2015, 31(2): 91–96

    Fei Peng, Fang Wei-hai, Wen Xin, et al. State of the art and future prospect of the active millimeter wave imaging technique for personnel screening[J]. Journal of Microwaves, 2015, 31(2): 91–96
    [6]
    马超, 张小虎, 杨建超, 等. 基于MLBF的毫米波双站SAR前视Omega-k成像算法[J]. 红外与毫米波学报, 2017, 36(4): 490–497. DOI: 10.11972/j.issn.1001-9014.2017.04.018

    Ma Chao, Zhang Xiao-hu, Yang Jian-chao, et al. Omega-k algorithm based on MLBF for millimeter wave bistatic forward-looking SAR imaging[J]. Journal of Infrared and Millimeter Waves, 2017, 36(4): 490–497. DOI: 10.11972/j.issn.1001-9014.2017.04.018
    [7]
    Franceschetti G, Pascazio V, and Schirinzi G. Processing of signum coded SAR signal: Theory and experiments[J]. IEE Proceedings F-Radar and Signal Processing, 1991, 138(3): 192–198. DOI: 10.1049/ip-f-2.1991.0025
    [8]
    Franceschetti G, Tesauro M, and Wall S. SAR and one-bit coding: New ideas[C]. IEEE International Geoscience and Remote Sensing Symposium, Lincoln, USA, 1996: 51–53
    [9]
    Franceschetti G, Impagnatiello F, Rubertone F, et al.. Results of the X-SAR real time one-bit processor[C]. IEEE International Geoscience and Remote Sensing Symposium, Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment, Honolulu, USA, 2000: 99–101
    [10]
    黄杰文, 祁海明, 李杨, 等. DBF-SAR系统1比特量化设计[J]. 宇航学报, 2011, 32(11): 2387–2394. DOI: 10.3873/j.issn.1000-1328.2011.11.013

    Huang Jie-wen, Qi Hai-ming, Li Yang, et al. One-bit quantization for DBF-SAR[J]. Journal of Astronautics, 2011, 32(11): 2387–2394. DOI: 10.3873/j.issn.1000-1328.2011.11.013
    [11]
    Boufounos P T and Baraniuk R G. 1-bit Compressive sensing[C]. Proceedings of the 42nd Annual Conference on Information Sciences and Systems, Princeton, USA, 2008: 16–21. DOI: 10.1109/CISS.2008.4558487
    [12]
    Karahanoglu N B and Erdogan H. Compressed sensing signal recovery via forward-backward pursuit[J]. Digital Signal Processing, 2013, 23(5): 1539–1548. DOI: 10.1016/j.dsp.2013.05.007
    [13]
    Laska J N, Wen Z W, Yin W T, et al. Trust, but verify: Fast and accurate signal recovery from 1-bit compressive measurements[J]. IEEE Transactions on Signal Processing, 2011, 59(11): 5289–5301. DOI: 10.1109/TSP.2011.2162324
    [14]
    Plan Y and Vershynin R. One-bit compressed sensing by linear programming[J]. Communications on Pure and Applied Mathematics, 2013, 66(8): 1275–1297. DOI: 10.1002/cpa.v66.8
    [15]
    Jacques L, Laska J N, Boufounos P T, et al. Robust 1-bit compressive sensing via binary stable embeddings of sparse vectors[J]. IEEE Transactions on Information Theory, 2013, 59(4): 2082–2102. DOI: 10.1109/TIT.2012.2234823
    [16]
    Plan Y and Vershynin R. Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach[J]. IEEE Transactions on Information Theory, 2013, 59(1): 482–494. DOI: 10.1109/TIT.2012.2207945
    [17]
    Dong X and Zhang Y H. A MAP approach for 1-bit compressive sensing in synthetic aperture radar imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(6): 1237–1241. DOI: 10.1109/LGRS.2015.2390623
    [18]
    周崇彬. 单比特合成孔径雷达稀疏成像技术的研究[D]. [博士论文], 中国科学技术大学, 2016: 29–47

    Zhou Chong-bin. Studies on 1-bit coded synthetic aperture radar sparse imaging[D]. [Ph.D. dissertation], University of Science and Technology of China, 2016: 29–47
    [19]
    Gianelli C, Xu L Z, Li J, et al.. One-bit compressive sampling with time-varying thresholds for sparse parameter estimation[C]. Sensor Array and Multichannel Signal Processing Workshop, Rio de Janerio, Brazil, 2016: 1–5. DOI: 10.1109/SAM.2016.7569634
    [20]
    Qian C and Li J. ADMM for harmonic retrieval from one-bit sampling with time-varying thresholds[C]. IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, USA, 2017: 3699–3703. DOI: 10.1109/ICASSP.2017.7952847
    [21]
    Stein M S. Signal parameter estimation with 1-bit ADC: Performance bounds, methods and system design[D]. [Ph.D. dissertation], Technische Universität München, 2016: 19–24
    [22]
    Abramowitz M. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables[M]. Washington, USA: Government Printing Office, 1972: 361–556
    [23]
    Zhao B, Huang L, Li J, et al. Deceptive SAR jamming based on 1-bit sampling and time-varying thresholds[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(3): 939–950. DOI: 10.1109/JSTARS.2018.2793247
    [24]
    Brunet D, Vrscay E R, and Wang Z. On the mathematical properties of the structural similarity index[J]. IEEE Transactions on Image Processing, 2012, 21(4): 1488–1499. DOI: 10.1109/TIP.2011.2173206
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