A dynamic bow-tie antenna using soft computing methods

Author

Sruthi, I.V. ; Anurenjan, P.R.

Author_Institution

Dept. of Electron. & Commun., Kerala Univ., Trivandrum, India

fYear

2013

fDate

13-15 Dec. 2013

Firstpage

113

Lastpage

118

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.

Keywords

antenna feeds; bow-tie antennas; electrical engineering computing; ground penetrating radar; impedance matching; neural nets; radar antennas; GPR antenna; GPR system; UXO; antenna elevations; antenna matching problem; cables; dynamic bow-tie antenna; dynamic performance; feed line; ground penetrating radar; impedance mismatch; input impedance variation; mines; neural network; nondestructively sensing subsurface environment; optimization tool; pipes; soft computing methods; unexploded ordinance; Adaptive arrays; Ground penetrating radar; Impedance; Neural networks; Radar antennas; Wires; Bow-tie antenna; adaptive antenna; ground penetrating radar (GPR); neural network; ultra wideband (UWB) antenna;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Communication and Computing (ICCC), 2013 International Conference on

Conference_Location

Thiruvananthapuram

Print_ISBN

978-1-4799-0573-7

Type

conf

DOI

10.1109/ICCC.2013.6731634

Filename

6731634