A Study of Removing Interference Fringes on Cylindrical Subsurface Imaging with Continuous Wave Penetrating Radar

Xu Sheng-zhi; Huang Chun-lin; Liu Tao; Qin Yao; Lu Min

doi:10.11999/JEIT150274

Volume 37 Issue 11

Nov. 2015

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(11): 2742-2748

Xu Sheng-zhi, Huang Chun-lin, Liu Tao, Qin Yao, Lu Min. A Study of Removing Interference Fringes on Cylindrical Subsurface Imaging with Continuous Wave Penetrating Radar[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2742-2748. doi: 10.11999/JEIT150274

Citation:

Xu Sheng-zhi, Huang Chun-lin, Liu Tao, Qin Yao, Lu Min. A Study of Removing Interference Fringes on Cylindrical Subsurface Imaging with Continuous Wave Penetrating Radar[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2742-2748. doi: 10.11999/JEIT150274

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A Study of Removing Interference Fringes on Cylindrical Subsurface Imaging with Continuous Wave Penetrating Radar

doi: 10.11999/JEIT150274

Funds:

The National Natural Science Foundation of China (61372160)

Received Date: 2015-03-04
Rev Recd Date: 2015-07-07
Publish Date: 2015-11-19

Abstract

Abstract

The interference fringe phenomenon appears when continuous wave subsurface penetrating radar is used to image on the uneven surfaces for nondestructive detection. As one of the main disturbances, the fringes will deteriorate the imaging results. The principle of this phenomenon is briefly studied and a filtering method to remove the fringes based on the distribution difference in frequency domain between cylindrical surfaces and target is proposed. Besides, according to the regular angle distribution of small target in frequency domain, a compensatory method by interpolation in a certain angle is studied to optimize the imaging results. Moreover, an effective imaging process for cylindrical subsurface detection based on the wavefront imaging algorithm is illustrated. The numerical and experimental data validate the applicability of proposed method and the results outperform the traditional approach of average subtraction.
- Continuous wave subsurface penetrating radar,
- Interference fringes,
- Nondestructive detection,
- Cylindrical subsurface detection

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References(22)

References

粟毅, 黄春琳, 雷文太. 探地雷达理论与应用[M]. 北京: 科学出版社, 2006: 210-265.

Su Yi, Huang Chun-lin, and Lei Wen-tai. Theory and Application of Ground Penetrating Radar[M]. Beijing: Science Press, 2006: 210-265.

周琳. 探地雷达成像技术研究[D]. [博士论文], 国防科学技术大学, 2012.

Zhou Lin. Research on ground penetrating radar imaging techniques[D]. [Ph.D. dissertation], National University of Defense Technology, 2012.

金添. 超宽带SAR浅埋目标成像与检测的理论和技术研究[D]. [博士论文], 国防科学技术大学, 2007.

Jin Tian. Research on theory and technique of ultra- wideband SAR shallow buried targets imaging and detection[D]. [Ph.D. dissertation], National University of Defense Technology, 2007.

雷文太, 粟毅, 黄仕家. 探地雷达近场三维距离偏移成像算法[J]. 电子与信息学报, 2003, 25(12): 1641-1646.

Lei Wen-tai, Su Yi, and Huang Shi-jia. Ground penetrating radar near field 3-D range migration imaging technique[J]. Journal of Electronics Information Technology, 2003, 25(12): 1641-1646.

Capineri L, Fiesoli F, and Windsor C. Holographic radar: a strategy for uneven surfaces[C]. 14th International Conference on Ground Penetrating Radar (GPR2012), Shanghai, 2012: 143-145.

Huang Chun-lin and Liu Tao. The Impact of an uneven medium surface in holographic penetrating imaging and a method to eliminate the interference[C]. International Technical Conference of IEEE Region 10 (IEEE TENCON2013), Xian, 2013: 1-4.

Sukhanov D and Zavyalova K. Three-dimensional non- contact subsurface radiotomography through a non-planar interface between media[C]. 15th International Conference on Ground Penetrating Radar (GPR2014), Brussels, 2014: 691-695.

Yasemin Altuncu, Ibrahim Akduman, and Ali Yapar. Detecting and locating dielectric objects buried under a rough interface[J]. IEEE Geoscience and Remote Sensing Letters, 2007, 4(2): 251-255.

Selda Yldz, Yasemin Altuncu, Ali Yapar, et al.. On the scattering of electromagnetic waves by periodic rough dielectric surfaces: a BOA solution[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(9): 2599-2606.

Tolga Ulas Gurbuz, Birol Aslanyurek, Pinar Karabulut E, et al.. An efficient nonlinear imaging approach for dielectric objects buried under a rough surface[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(5): 3013-3022.

Xie Yao, Guo Bin, Xu Lu-zhou, et al.. Multistatic adaptive microwave imaging for early breast cancer detection[J]. IEEE Transactions on Biomedical Engineering, 2006, 53(8): 1647-1657.

Sheen M, McMakin L, and Hall E. Three-dimensional millimeter-wace imaging for concealed weapon detection[J]. IEEE Transactions of Microwave Theory and Techniques, 2001, 49(9): 1581-1592.

Diao Qi-long and Huang Chun-lin. A study of the interference stripe phenomenon caused by electromagnetic wave propagating in multi-layered medium[C]. 14th International Conference on Ground Penetrating Radar (GPR2012), Shanghai, 2012: 780-784.

刁其龙, 黄春琳. 抑制穿过具有倾斜角度的介质探测成像时产生的寄生干涉条纹现象[J]. 物理学报, 2012, 61(21): 1-10.

Diao Qi-long and Huang Chun-lin. Restraining parasitic interference fringe phenomenon in detection imaging through the medium with inclined angle[J]. Acta Physica Sinica, 2012, 61(21): 1-10.

Fu Lei, Liu Si-xin, and Liu Lan-bo. Internal structure characterization of living tree trunk cross-section using gpr: numerical examples and field data analysis[C]. 15th International Conference on Ground Penetrating Radar (GPR2014), Brussels, 2014: 155-160.

Santos-Asssuncao S, perez-Gracia V, Caselles O, et al.. Geophysical exploration of columns in historical heritage buildings[C]. 15th International Conference on Ground Penetrating Radar (GPR2014), Brussels, 2014: 97-102.

Redman J D, Hans G, and Diamanti N. Effect of wood log shape on moisture content measurement using GPR[C]. 15th International Conference on Ground Penetrating Radar (GPR2014), Brussels, 2014: 181-185.

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