Abstract
The bow-tie antenna is one of common antennas used in Ground Penetrating Radar (GPR) system, due to its manufacturing facilely. GPR system is an effective tool for nondestructively sensing subsurface environment. Various GPR systems are used to detect objects such as pipes, cables, mines and UXO (unexploded ordnance) buried under the surface of the earth. The main problem for GPR antenna, addressed here, is the impedance mismatch. Antenna matching problem which is the input impedance variation with respect to different antenna elevations and ground type, makes it difficult to match antenna to feed line. Here a new method for a better dynamic performance of GPR is proposed. Optimization tool used here is neural network.
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