基于内部谐振的弱信号补偿介电目标重构算法

周丽军; 欧阳缮; 廖桂生; 晋良念

doi:10.11999/JEIT170287

基于内部谐振的弱信号补偿介电目标重构算法

doi: 10.11999/JEIT170287

基金项目:

国家自然科学基金(61371186, 61162007)，广西自然科学基金(2013GXNSFFA019004)

计量
- 文章访问数: 875
- HTML全文浏览量: 81
- PDF下载量: 217
- 被引次数: 0
出版历程
- 收稿日期: 2017-04-01
- 修回日期: 2017-09-15
- 刊出日期: 2017-12-19

Target Reconstruction Method for Weak Signal Compensation Based on Internal Resonances

(Research Center for Wideband and Intelligence Information Technology, Guilin University of Electronic Technology, Guilin 541004, China)

Funds:

The National Natural Science Foundation of China (61371186, 61162007), The Guangxi Natural Science Foundation (2013GXNSFFA019004)

摘要

摘要: 对断裂或下沉路基等电大尺寸异质体目标重构其几何特征(如位置，形状，尺寸等)，在环境地质等工程应用及市政基础设施维护中尤为重要。然而由于电磁波在目标体内部的衰减，使得目标下表面反射回波很弱。对此该文提出一种基于内部谐振的弱信号补偿目标重构算法。由于有限目标边界的限制，电磁波在目标体内部沿传播方向产生多次反射，此现象在采样时间记录信号上体现为周期谐振。分析了谐振周期与目标宽度的关系并由此估计目标下表面的位置，结合去除虚像以后的目标前表面位置，重构目标形状。实验结果验证了提出方法的有效性以及对噪声的鲁棒性。
- 目标重构 /
- 内部谐振 /
- 信号补偿
Abstract: The geometric characteristics (such as position, shape, size, etc.) of a large size target such as the broken or sinking subgrade are particularly important in engineering applications and municipal infrastructure maintenance. Due to the attenuation of the electromagnetic wave inside the target, the reflection from back surface of the target is too weak to be detected. In this paper, a target reconstruction algorithm for weak signal compensation based on internal resonances is proposed. Due to the limited target boundary, the electromagnetic wave will produce multiple reflections along the propagation direction inside the target. This phenomenon is reflected as periodic resonances in the recording signal. The relationship between the resonant period and the target width is analyzed and the position of the back surface of the target is estimated. The virtual image around the front surface of target is removed by means of phase difference. The whole target shape is reconstructed according to the front surface and back surface of the target. The experimental results verify the effectiveness of the proposed method and the robustness to noise.
- Target reconstruction /
- Internal resonances /
- Signal compensation

HTML全文

参考文献(18)

WALTON G, LATO M, ANSCHUTZ H, et al. Non-invasive detection of fractures, fracture zones, and rock damage in a hard rock excavation-experience from the Aspo Hard Rock laboratory in Sweden[J]. Engineering Geology, 2015, 196: 210-221. doi: 10.1016/j.enggeo.2015.07.010.

DANIELS D J. Ground Penetrating Radar[M]. 2nd Ed., London: The Institution of Electrical Engineers, 2004: 4-5.

SUN M, BASTARD C, PINEL N, et al. Road surface layers geometric parameters estimation by ground penetrating radar using estimation of signal parameters via rotational invariance techniques method[J]. IET Radar, Sonar Navigation, 2016, 10(3): 603-609. doi: 10.1049/iet-rsn.2015.　0374.

TETIK E and AKDUMAN I. 3D imaging of dielectric objects buried under a rough surface by using CSI[J]. International Journal of Antennas and Propagation, 2015, 2015: 1-8. doi; 10.1155/2015/179304.

CATAPANO I, CROCCO L, and ISERNIA T. On simple methods for shape reconstruction of unknown scatterers[J]. IEEE Transactions on Antennas and Propagation, 2007, 55(5): 1431-1436. doi: 10.1109/TAP.2007.895563.

VALERIO G, SOLDOVIERI F, BARONE P M, et al. Shape reconstruction of scatterers by suitable inverse processing of GPR data[C]. The 6th European Conference on Antennas and Propagation, Prague, 2012: 2209-2211. doi: 10.1109/ EuCAP.2012.6206268.

NOMURA Y, KATO N, NAGANUMA Y, et al. A geometrical analysis of buried flat-plates on ground penetrating radar images[C]. IEEE International Conference on Systems, Man, and Cybernetics, Anchorage, 2011: 3317-3322. doi: 10.1109/ICSMC.2011.6084181.

SUGAK V and SUGAK A. Phase spectrum of signals in ground-penetrating radar applications[J]. IEEE Transactions on Geoscience Remote Sensing, 2010, 48(4): 1760-1767. doi: 10.1109/TGRS.2009.2036163.

HUUSKONEN E, MIKHNEV V, and OLKKONEN M. Discrimination of buried objects in impulse GPR using phase retrieval technique[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(2): 1001-1007. doi: 10.1109/TGRS. 2014.2331427.

SOLDOVIERI F, BRANCACCIO A, LEONE G, et al. Shape reconstruction of perfectly conducting objects by multiview experimental data[J]. IEEE Transactions on Geoscience Remote Sensing, 2005, 43(1): 65-71. doi: 10.1109/TGRS.2004. 839432.

MIKHNEV V, OLKKONEN M, and HUUSKONEN E. Identification of buried objects in GPR using phase information extracted from transient response[C]. Proceedings of the 9th European Radar Conference, Amsterdam, 2012: 322-325.

NI X and HUO X. Statistical interpretation of the importance of phase information in signal and image reconstruction[J]. Statistics Probability Letters, 2007, 77: 447-454. doi: 10.1016/j.spl.2006.08.025.

PARRELLA G, HAJNSEK I, and PAPATHANASSIOU K P. On the interpretation of polarimetric phase differences in SAR data over land ice[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(2): 192-196. doi: 10.1109/LGRS. 2015.2505172.

ZHOU Lijun, OUYANG Shan, LIAO Guisheng, et al. A novel reconstruction method based on changes in phase for subsurface large sloped dielectric target using GPR[J]. Journal of Applied Geophysics, 2016, 134: 36-43. doi: 10.1016/j.jappgeo.2016.08.013.

SKOLNIK M. Radar Handbook[M]. 3rd Ed., New York: Mc Graw Hill, 2008: 3.13-3.15.

SCHOFIELD J, DANIELS D, and HAMMERTON P. A multiple migration and stacking algorithm designed for land mine detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(11): 6983-6988. doi: 10.1109/ TGRS.2014.2306325.

WANG Z, ZHANG S, and WYROWSKI F. Modeling laser beam propagation through components with internal multiple reflections[C]. Components and Packaging for Laser Systems, California, 2015: 16-1-16-8. doi: 10.1117/12. 2079562.

LU Y and DO M N. Multidimensional directional filter banks and surfacelets[J]. IEEE Transactions on Image Processing, 2007, 16(4): 918-931. doi: 10.1109/TIP.2007.891785.

施引文献

资源附件(0)

访问统计