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APPLICATION OF THE PREDICTION DECONVOLUTION TECHNIQUE TO SIGNAL PROCESSING IN GROUND PENETRATING RADAR SYSTEMS

Hung Van Le 1, *
Phu Huu Bui 2
Duy Thanh Nguyen 2
Nam Thanh Nguyen 2
  1. University of Industry of Hochiminh City
  2. DCSELAB, University of Technology, VNU-HCM
Correspondence to: Hung Van Le, University of Industry of Hochiminh City. Email: pvphuc@hcmuns.edu.vn.
Volume & Issue: Vol. 15 No. 1 (2012) | Page No.: 52-59 | DOI: 10.32508/stdj.v15i1.1774
Published: 2012-03-30

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

Ground penetrating radar (GPR) systems emit electromagnetic energy into ground and receive reflection signals to process and display images of objects underground. The technology can be applied to variety of fields such as military, constructions, geophysics, ... In the paper, we will propose the prediction deconvolution technique for signal processing in GPR systems. The technique is developed based on the method of Least Square filter and Wiener filter. Our processed results have shown that by applying the proposed technique, received signals will be eliminated interference and give better images with high resolution. In addition, to get good results we see that it is necessary to predict the accuracy of pulse response of environments.

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