DocumentCode
418702
Title
Broadband impedance compensation for ground penetration radar antenna using genetic algorithms
Author
Yuan, Yuan ; Chan, Chi Hou ; Man, Kim Fung
Author_Institution
Dept. of Electron. Eng., City Univ. of Hong Kong, China
Volume
1
fYear
2004
fDate
20-25 June 2004
Firstpage
866
Abstract
For ground penetration radar (GPR), a broadband antenna is important for system performance. However, in low operating frequency ranges, impedance matching conditions can be satisfied but at the cost of lower antenna gain. Impedance compensation seems to be an efficient way for fulfilling both the antenna gain and impedance matching requirements. A genetic algorithm (GA) is introduced to design the broadband impedance compensation network in which there is no need for any equivalent circuit nor an analytical function for the antenna and network. The experimental data of the broadband ground radar antenna is processed directly to synthesize the compensation network. Complex conjugate matching conditions, provided by the compensation network on the antenna input port to allow an overall return loss of -10 dB across the frequency band, are design specifications for the GA.
Keywords
UHF antennas; broadband antennas; compensation; electric impedance; ground penetrating radar; impedance matching; network synthesis; radar antennas; 400 MHz to 1 GHz; analytical function; antenna gain; antenna input port; broadband antenna; broadband impedance compensation; compensation network; complex conjugate matching conditions; design specification; equivalent circuit; genetic algorithms; ground penetration radar antenna; impedance matching; return loss; Algorithm design and analysis; Broadband antennas; Costs; Equivalent circuits; Frequency; Genetic algorithms; Ground penetrating radar; Impedance matching; Radar antennas; System performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 2004. IEEE
Print_ISBN
0-7803-8302-8
Type
conf
DOI
10.1109/APS.2004.1329808
Filename
1329808
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