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超宽带脉冲穿墙雷达互相关BP成像 被引量:4

Cross-Correlation BP Algorithm for UWB Pulse Through-Wall Radar
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摘要 根据超宽带脉冲穿墙雷达目标回波信号与发射信号具有较强相关性的特点,提出一种新的互相关后向投影(BP)成像算法,该算法将沿天线合成孔径方向各接收阵元的回波信号与发射信号先进行互相关,将获得的互相关信号再利用BP算法进行相干成像。与回波信号进行直接BP成像相比,该算法具有消除脉冲建立时间对回波延迟时间估计误差的影响,提高目标成像的位置精度;能有效抑制背景噪声,提高图像信噪比。利用时域有限差分(FDTD)方法对穿墙场景进行电磁仿真,通过对成像方法结果的比较,表明互相关BP成像算法在成像位置精度和图像信噪比方面明显优越于直接BP成像算法。 According to the strong correlation between the transmit signal and received signal of UWB pulse through-wall radar,a cross-correlation back-propagation(BP) algorithm is proposed.The cross-correlation signals between received signals and transmit signal are first formed and then are used to generate their coherent imaging by using BP algorithm.The electromagnetic models for through wall scenarios are setup based on FDTD method.Imaging results of two methods show that the cross-correlation BP algorithm has great advantages than general BP algorithm at the aspects of improving the target imaging localization precision and the signal noise ratio of the imaging.
出处 《电子科技大学学报》 EI CAS CSCD 北大核心 2011年第1期16-19,共4页 Journal of University of Electronic Science and Technology of China
基金 国家自然科学基金(60802063) 云南省科技计划项目(2009CA021)
关键词 BP成像 互相关BP成像 时域有限差分 超宽带脉冲穿墙雷达 BP algorithm cross-correlation BP algorithm FDTD UWB pulse through wall radar
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参考文献9

  • 1SONG L P, YU C, LIU Q H. Through-wall imaging (TWI) by radar: 2-D tomographic results and analyses[J]. IEEE Trans-Geosci Remote Sens, 2005, 43(12): 2793-2798.
  • 2AHMAD F, AMIN M G; KASSAM S A. Synthetic aperture beamformer for imaging through a dielectric wall[J]. IEEE Trans-Aerosp Electron Syst, 2005, 41(1): 271-283.
  • 3AHMAD F, AMIN M G. MANDAPATI G Autofocusing of throughthe-wall radar imagery under unknown wall characteristics[J]. IEEE Trans-Image Process, 2007, 16(7): 1785-1795.
  • 4NGUYEN L, LE C, GAUNAURD G C. Computerized tomographic radar targe imaging behind opaque walls[J]. Optical Engineering, 2007, 46(7): 076201.
  • 5DEHMOLLAIAN M, THIEL M, SARABANDI K. Through-the-wall imaging using differential SAR[J]. IEEE Trans-Geosci Remote Sens, 2009, 47(5): 1289-1296.
  • 6DOGARU T, LE C. SAR images of rooms and buildings based on FDTD computer models[J]. IEEE Trans-on Geosci Remote Sens, 2009, 47(5): 1388-1401.
  • 7NARAYANAN R M, XU X, HENNING J A. Radar penetration imaging using ultra-wideband (UWB) random noise waveforms[J]. IEE Proc-Radar Sonar Navig, 2004, 151(3): 143-148.
  • 8张旻,程家兴,樊甫华,刘慧婷.利用Hilbert变换提取信号瞬时特征参数的问题研究[J].电讯技术,2003,43(4):44-48. 被引量:25
  • 9DOGARU T, NGUYEN L. FDTD models of electromagnetic scattering by the human body[C]//IEEE Antennas and Propagation Society International Symposium. Albuquerque, US: IEEE, 2006: 1995-1998.

二级参考文献2

  • 1Huang N E,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[A].Proc.R Soc Lond.A[C].1998,903-995
  • 2黄长蓉.Hilbert变换及其应用[J].成都气象学院学报,1999,14(3):273-276. 被引量:16

共引文献24

同被引文献76

  • 1王运飞,王经瑾,刘国治.超宽带电磁脉冲二维金属柱体时域逆散射成像的研究[J].微波学报,2002,18(4):6-12. 被引量:3
  • 2McCorkle J W. Focusing of synthetic aperture ultra wideband data[ C] // Proc. of the IEEE International Conference on Sys- tems Engineering, 1991: 1-5.
  • 3Jofre L, Broquetas A, Romeu J, et al. UWB tomographic radar imaging of penetrable and impenetrable objects[J]. Proceedings of the IEEE, 2009,97(2):451-464.
  • 4Xu X J, Narayanan R M. FOPEN SAR imaging using UWB step- frequency and random noise waveforms[J]. IEEE Trans. on Aero space and Electronic Systems, 2001,37(4) : 1287 - 1300.
  • 5Society I A A E. IEEE standard for ultrawideband radar definitions[S]. New York, USA, 2007.
  • 6Senglee F, Kashyap S. Cross-correlated back projection for UWB ra- dar imaging[C]//Proc. of the IEEE Antennas and Propagation Society International Symposium, 2004: 1275- 1278.
  • 7Zetik R, Sachs J, Thoma R. Modified cross-corretadon hack projection for UWB imaging z numerical examples[C]//Proc, of the IEEE International Conference on Ultra- Wideband , 2005 : 650 - 654.
  • 8Lin Z, Chun L H, Yi S. A fast hack-proiection algorithm based on cross correlation for GPR imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2012,9 (2) : 228 - 282.
  • 9Wang C, Zhao D, Wang B Z, et al. Virtual-echo projection method for suppression of noise in UWB-SAR imaging systems[J]. IEEE Geoscience and Remote Sensing Letters, 2013,10 ( 1 ) : 53 - 56.
  • 10Chamma W A. FDTD modelling of a realistic room for through- the wall radar applications[J]. International Journal of Nu- merical Modelling : Electronic Networks, Devices and Fields, 2009,22(2) :159 - 174.

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