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探地雷达中的衍射层析算法 被引量:1

Diffraction Tomography Algorithm for Ground Penetrating Radar
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摘要 给出了二维情况下进行地下目标反演的线性衍射层析算法。该方法采用线性Born近似和傅里叶变换,避免了一般非线性逆散射算法的逐步迭代,因而可用于地下目标的快速检测和位置标定。本文的衍射层析算法考虑了空气-地面交界面的影响并计入了凋落场。计算结果表明,该方法可以较好地描述低对比度目标的位置、轮廓和介电参数等信息,也可用于高对比度目标的检测和定位。 A 2D diffraction tomography algorithm for ground penetrating radar is presented in this paper. The algorithm is based on Born approximation and Fourier transform, and avoids the iterative calculation in the nonlinear inverse scatting algorithm. So the buried objects can be detected and located rapidly. The effect of air-earth interface has been taken into account in the algorithm in the paper. The simulation results show that the locations, shapes, and dielectric properties of buried objects can be reconstructed for low-contrast and deep condition. The algorithm can also be applied to detect the high-contrast and shallow buried objects.
出处 《雷达科学与技术》 2005年第4期207-211,共5页 Radar Science and Technology
基金 国家863高科技计划项目(No.2001AA132020)
关键词 探地雷达 逆散射 衍射层析算法 ground penetrating radar inverse scatting diffraction tomography algorithm
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  • 1雷文太,粟毅,黄春琳.表层穿透雷达递归反向投影成像算法[J].电子学报,2005,33(12):2115-2119. 被引量:10
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  • 3Candes E. Compressive Sampling[C]//Proceedings of the International Congress of Mathematicians, Ma- drid, Spain:[s.n.], 2006:1433-1452.
  • 4Donoho D. Compressed Sensing[J]. IEEE Trans on Information Theory, 2006, 52(4) :1289-1306.
  • 5Gurbuz A C, McClellan J H, Scott W R. Compressive Sensing for Subsurface Imaging Using Ground Pene- trating Radar[J]. Signal Processing, 2009, 89(10): 1959-1972.
  • 6Candes E, Romberg J, Tao T. Stable Signal Recovery from Incomplete and Inaccurate Measurements [J]. Communications on Pure and Applied Mathematics, 2006, 59(8) :1207-1223.
  • 7Candes E, Romberg J. l1-lVlagic:Recovery of Sparse Signals via Convex Prograraming[R]. California In- stitute of Technology, 200,5.
  • 8李树涛,魏丹.压缩传感综述[J].自动化学报,2009,35(11):1369-1377. 被引量:205
  • 9余慧敏,方广有.压缩感知理论在探地雷达三维成像中的应用[J].电子与信息学报,2010,32(1):12-16. 被引量:49

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