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方位向多波束星载SAR仿真 被引量:2

Signal Simulation of Multiple Azimuth Beam Spaceborne SAR
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摘要 多波束工作模式是一种新的合成孔径雷达(SAR)工作模式,既可以满足高分辨率的需要,又可以满足宽测绘带的要求,因此具有很高的研究价值和广泛的应用前景。文中提出了多相位中心多波束SAR的回波模型,给出了仿真方法;并以三波束星载SAR为例,通过仿真实例验证了该方法的有效性。 Multiple beam mode is a new operation mode for a SAR, satisfying the requirements of super-spatial resolution and wide swath at the same time. So it has wide application prospect and is worth of being studied. In this paper, a signal model of DPCM and simulation method is proposed. Finally, an example of three-channel DPCM Spaceborne SAR is presented for varifying the method.
出处 《现代雷达》 CSCD 北大核心 2006年第8期58-61,共4页 Modern Radar
关键词 合成孔径雷达 多波束 回波模型 synthetic aperture radar multiple beam signal model
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  • 1黄琼,屈乐乐,吴秉横,方广有.压缩感知在超宽带雷达成像中的应用[J].电波科学学报,2010,25(1):77-82. 被引量:25
  • 2李世强,杨汝良.天线相位中心偏移方位多波束合成孔径雷达的误差分析[J].电子学报,2004,32(9):1436-1440. 被引量:16
  • 3D.L. Donoho. Compressed sensing[J]. IEEE Trans. on Information Theory, 2006,52 (4) : 227 - 254. 被引量:1
  • 4E. Candes. Compressive sampling [ C ]. Proceedings of the International Congress of Mathematicians, Madrid, Spain, 2006, 1433 - 1452. 被引量:1
  • 5Candes E, Romberg J, Tao T. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information [J]. IEEE Transactions on Information Theory. 2006,52(2):489 -509. 被引量:1
  • 6Tropp J. A, Wakin M. B, Duarte M. F, et al. Random filters for compressive sampling and reconstruction [ C ]. Proc Int. Conf. Acoustics, Speech, Signal Processing ICASSP, May 20O6. 被引量:1
  • 7R. Baraniuk, P. Steeghs. Compressive radar imaging[ C ]. IEEE Radar Conference, Boston, MA, USA ,2007 : 128 - 133. 被引量:1
  • 8Xie Xiaochun, Zhang Yunhua. Fast Compressive Sensing Radar Imaging Based on Smoothed L0 Norm [ C ]. APSAR2009,2nd Asian-Pacific Conference. 被引量:1
  • 9Huang, Q, L. Qu, B. , Wu, G. Fang. UWB Throug-wall imaging based on compressive sensing [ J ]. IEEE Transactions on Geoscience and Remote Sensing, 2010,48 (3) :1408 - 1415. 被引量:1
  • 10S. J. Wei, X. L. Zhang, J. Shi, et al. Sparse reconstruction for SAR imaging based on compressed sensing [ J ]. Progress In Electromagnetics Research, 2010,109:63 - 81. 被引量:1

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