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