In the paper, 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. | Science & Technology Development, Vol 15, 2012 APPLICATION OF THE PREDICTION DECONVOLUTION TECHNIQUE TO SIGNAL PROCESSING IN GROUND PENETRATING RADAR SYSTEMS Le Van Hung(1), Bui Huu Phu(2), Nguyen Thanh Duy(2), Nguyen Thanh Nam(2) (1) University of Industry of Hochiminh City (2) DCSELAB, University of Technology, VNU-HCM (Manuscript Received on April 5th, 2012, Manuscript Revised November 20rd, 2012) 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. Keywords: Prediction Deconvolution Technique, Signal Processing, Ground Penetrating Radar (GPR) characteristics 1. INTRODUCTION Ground penetrating radar (GPR) technology has been widely studied over the world. The GPR system emits electromagnetic energy into ground and receives reflection signals to process and display images of objects underground. The technology can be applied to of material underground, received signals are widen and delayed responses, thus reduce the resolution of GPR’s image. The purpose of the deconvolutional techniques is to convert the responses into a narrow pulse in order to eliminate interference and improve the resolution [1, 2, 5]. variety of fields such as detection of buried Signal processing techniques until now mines, mine detection (gold, oil, underground have been .
