期刊文献+

机载交轨稀疏阵列天线雷达的下视三维成像处理 被引量:9

Downward-looking 3D Imaging Processing for Airborne Cross-track Sparse Array Radar
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摘要 该文研究了机载交轨稀疏阵列天线雷达的下视3维成像处理问题。将稀疏阵列天线布设在载机交轨向,采用频分正交信号实现多发多收以提高发射功率,利用多相位中心孔径综合原理将稀疏阵换成满阵,采用与空间位置相关的匹配滤波器使不同子带信号孔径综合后相位中心的空间位置相同,进一步将子带信号合成宽带信号以提高距离分辨率实现下视3维成像。为了扩大观测幅宽,提出将ScanSAR模式与SweepSAR模式相结合的扫描方式,以降低雷达系统的脉冲重复频率。分析了机载交轨稀疏阵列天线雷达的系统参数,通过仿真验证了该文方法的有效性。 Airborne cross-track sparse array radar system for downward-looking three-dimensional(3D) imaging is investigated.The sparse array is distributed along the cross-track direction.To improve the transmitting power,orthogonal frequency division signals are used for Multiple-Input and Multiple-Output(MIMO).The multiple phase center aperture synthesis principle is used to make the sparse array coincident with a full array.The phase centers of different sub-band signals will be in the same position by using the matched filter related with spatial location.The broadband signal is obtained by combining the sub-band signals to improve the range resolution.And the downward-looking 3D image is achieved.To expand the observation swaths,a kind of scanning mode which combines ScanSAR mode and SweepSAR mode is proposed,which can reduce the Pulse Repetition Frequency(PRF).System parameters of the airborne cross-track sparse array radar are analyzed.The simulation results indicate the feasibility of the proposed method.
出处 《电子与信息学报》 EI CSCD 北大核心 2012年第6期1311-1317,共7页 Journal of Electronics & Information Technology
基金 国家863计划项目(2009AA12Z103) 国家973计划项目(2009CB72400)资助课题
关键词 SCANSAR SweepSAR 下视3维成像 稀疏阵列天线 多发多收 ScanSAR SweepSAR Downward-looking three-dimensional imaging Sparse array Multiple-Input and Multiple-Output(MIMO)
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参考文献10

  • 1Giret R, Jeuland H, and Enert P. A study of 3D-SAR concept for a millimeter wave imaging radar onboard an UAV[C]. European Radar Conference 2004, Amsterdam, Netherland, 2004: 201-204.
  • 2Klare J, Brenner A R, and Ender J H G. A new airborne radar for 3D imaging-image formation using the ARTINO principle[C]. 6th European Conference on Synthetic Aperture Radar(EUSAR 2006), Dresden, Germany, 2006: 16-18.
  • 3叶荫,刘光炎,孟喆.机载下视稀疏阵列三维SAR系统及成像[J].中国电子科学研究院学报,2011,6(1):96-100. 被引量:8
  • 4Hou Y N, Li D J, and Hong W. The thinned array time division multiple phase center aperture synthesis and application[C]. 2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'2008), Boston, America, 2008: 25-28.
  • 5侯颖妮,李道京,洪文,李南京,张麟兮.稀疏阵列微波暗室成像实验研究[J].电子与信息学报,2010,32(9):2258-2262. 被引量:6
  • 6Klare J. Digital beamforming for a 3D MIMO SAR -improvements through frequency and waveform diversity[C]. 2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'2008), Boston, America, 2008: 17-20.
  • 7Freeman A, Krieger G, Rosen P, et al.. SweepSAR: beamforming on receive using a reflector-phased array feed combination for spaceborne SAR[C]. Proc. IEEE Radar Conf. Pasadena, USA, 2009: 1-9.
  • 8Li Z, Bao Z, and Wang H. Performance improvement for constellation SAR using signal processing techniques[J]. IEEE Transactions on AES, 2006, 42(2): 436-452.
  • 9Lord R T and Ingg M R. High resolution SAR processing using stepped-frequencies[C]. 1997 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'1997), Singapore, 1997: 490-492.
  • 10Wilkinson A J, Lord R T, and Ingg M R. Stepped-frequency processing by reconstruction of target reflectivity spectrum[C]. Communications and Signal Processing, 1998 (COMSIG'98), South African, 1998: 101-104.

二级参考文献13

  • 1Ruf C S,Swift C T,and Tanner A B.Interferometric synthetic aperture microwave radiometry for the remote sensing of the earth[J].IEEE Transactions on Geoscience and Remote Sensing,1988,26(5):597-611.
  • 2Klare J.Digital beamforming for a 3D MIMO SAR-Improvements through frequency and waveform diversity[C].IGARSS,Boston,USA,2008:V-17-V-20.
  • 3Baraniuk R and Steeghs P.Compressive radar imaging[C].IEEE Radar Conference,Waltham,2007:128-133.
  • 4Donoho D L.Compressed sensing[J].IEEE Transactions on Information Theory,2006,52(4):1289-1306.
  • 5Li Z F,Bao Z,and Wang H Y,et al..Performance improvement for constellation SAR using signal processing techniques.IEEE Transactions on Aerospace and Eectronic Systems,2006,42(2):436-452.
  • 6Grant M and Boyd S.CVX:Matlab software for disciplined convex programming.http://stanford.edu/~boyd/cvx,2009,7.
  • 7Soumekh M.Synthetic Aperture Radar Signal Processing with MATLAB Algorithms[M].New York:Wiley-Interscience,1999:212-215.
  • 8KLARE J. A New Airborne Radar for 3D Imaging-Simulation Study of ARTINO [ C ]//6th European Conference on Synthetic Aperture Radar, EUSAR, Dresden, Germany, 2006.
  • 9DU L, WANG YP. Analytic Modeling and Three-dimensional Imaging of Downward-looking SAR Using Bistatic Uniform Linear Array Antennas [ C ]//APSAR, Huang Shah, China, 2007.
  • 10KLARE J, BRENNER A, ENDER J. A new Airborne Radar for 3D Imaging-Image Formation Using the ARTINO Principle[ C]//6th European Conference on Synthetic Aperture Radar, EUSAR, Dresden, Germany,2006.

共引文献12

同被引文献60

  • 1杨波.一种设计组合巴克码脉冲压缩旁瓣抑制滤波器的新方法[J].现代雷达,2001,23(5):41-45. 被引量:7
  • 2Shi Jun, Zhang Xiao-ling, Yang tracing based LASAR 3-D multiresolution approximation[J]. Jian-yu, et al.. Surface imaging method via IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(11): 3719-3730.
  • 3Lopez J and Fortuny J. 3-D radar imaging using range migration techniques[J]. IEEE Transactions on Antennas and Propagation, 2000, 48(5): 728-737.
  • 4Li Dao-jing, Liu Bo, Pan Zhou-hao, et al.. Airborne MMW InSAR interferometry with cross-track three-baseline antennas[C]. 2012 9th European Conference on Synthetic Aperture Radar (EUSAR 2012), Germany, April 2012: 301-303.
  • 5Zhu X X and Bamler R. Let's do the time warp: motion estimation in differential multicomponent nonlinear SAR tomography[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4): 735-739.
  • 6Zhu X X and Bamler R. Super-resolution power and robustness of compressive sensing for spectral estimation with application to spaceborne tomographic SAR[J]. IEEE Transactions on Geoseience and Remote Sensing, 2012, 50(1): 247-258.
  • 7Donoho D. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
  • 8Candes E, Romberg J, and Tao T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on Information Theory, 2006, 52(2): 489-509.
  • 9Hou Ying-ni, Li Dao-jing, and Hong Wen. The thinned array time division multiple phase center sperture synthesis and application[C]. 2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'2008), Boston, America, 2008: 25-28.
  • 10滕秀敏.稀疏阵列天线在雷达成像即目标探测中的应用研究[D].[硕士论文],中国科学院电子学研究所,2012.

引证文献9

二级引证文献35

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