A linear signal transmission system calibration method of wideband GPR

Bin Wu; Kai Zhao; Ling-jia Gu; Qiong Cao; Xiao-feng Li; Xing-ming Zheng

doi:10.1117/12.2237153

19 September 2016 A linear signal transmission system calibration method of wideband GPR

Bin Wu, Kai Zhao, Ling-jia Gu, Qiong Cao, Xiao-feng Li, Xing-ming Zheng

Proceedings Volume 9972, Earth Observing Systems XXI; 99721S (2016) https://doi.org/10.1117/12.2237153
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

Abstract

In VHF pulse Ground Penetrating Radar(GPR) system, the echo pass through the antenna and transmission line circuit, then reach the GPR receiver. Thus the reflection coefficient at the receiver sampling gate interface, which is at the end of the transmission line, is different from the real reflection coefficient of the media at the antenna interface, which could cause the GPR receiving error. The pulse GPR receiver is a wideband system that can't be simply described as traditional narrowband transmission line model. Since the GPR transmission circuit is a linear system, the linear transformation method could be used to analyze the characteristic of the GPR receiving system. A GPR receiver calibration method based on transmission line theory is proposed in this paper, which analyzes the relationship between the reflection coefficients of theory calculation at antenna interface and the measuring data by network analyzer at the sampling gate interface. Then the least square method is introduced to calibrate the transfer function of the GPR receiver transmission circuit. This calibration method can be useful in media quantitative inversion by GPR. When the reflection coefficient at the sampling gate is obtained, the real reflection coefficient of the media at the antenna interface can be easily determined.

Citation Download Citation

Bin Wu, Kai Zhao, Ling-jia Gu, Qiong Cao, Xiao-feng Li, and Xing-ming Zheng "A linear signal transmission system calibration method of wideband GPR", Proc. SPIE 9972, Earth Observing Systems XXI, 99721S (19 September 2016); https://doi.org/10.1117/12.2237153

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