DocumentCode :
2155666
Title :
An in-situ optimized anti-jamming beamformer for mobile signals
Author :
Becker, Jonathan ; Lohn, Jason D. ; Linden, Derek
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2012
fDate :
8-14 July 2012
Firstpage :
1
Lastpage :
2
Abstract :
This paper evaluates a Triallelic Diploid Genetic Algorithm (TDGA) in evolving an anti-jamming beamforming array in situ with mobile signals. The TDGA uses Signal and Interference to Noise Ratio (SINR) as its fitness function. Results show that the TDGA can thwart two mobile jammers while focusing energy on an SOI whether the SOI is stationary or mobile. The array operates in the 2.4 GHz 802.11g band. The results apply to other applications because the TDGA does not require signal directions and modulation schemes a priori.
Keywords :
array signal processing; genetic algorithms; 802.11g band; SINR; SOI; TDGA; antijamming beamforming array; fitness function; frequency 2.4 GHz; mobile signals; signal and interference to noise ratio; triallelic diploid genetic algorithm; Array signal processing; Arrays; Genetic algorithms; Interference; Jamming; Mobile communication; Signal to noise ratio; Adaptive arrays; electronic countermeasures; genetic algorithms; jamming; phased arrays; wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
Conference_Location :
Chicago, IL
ISSN :
1522-3965
Print_ISBN :
978-1-4673-0461-0
Type :
conf
DOI :
10.1109/APS.2012.6349106
Filename :
6349106
Link To Document :
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