Evaluation of Genetic Algorithms in mitigating wireless interference in situ at 2.4 GHz

Author

Becker, Jurgen ; Lohn, Jason ; Linden, D.

Author_Institution

Carnegie Mellon Univ., Pittsburgh, PA, USA

fYear

2013

fDate

13-17 May 2013

Firstpage

54

Lastpage

61

Abstract

This paper compares the Simple Genetic Algorithm (SGA) to the Triallelic Diploid Genetic Algorithm (TDGA) in evolving an anti-jamming beamforming array in situ. The SGA and TDGA are both able to find reasonable beamformer settings that thwart two stationary interferers while allowing reception of a stationary signal of interest (SOI). We evaluate the TDGA´s performance in thwarting mobile interferers with stationary and mobile SOIs. The array operates in the 2.4 GHz 802.11g WiFi band, and the results presented are applicable to other applications because the SGA and TGDA do not require signal directions and modulation schemes a priori. Analysis of SGA and TDGA convergence times is also presented.

Keywords

array signal processing; genetic algorithms; interference suppression; wireless LAN; 802.11g WiFi band; SGA; TDGA convergence; TDGA performance; antijamming beamforming array; beamformer settings; frequency 2.4 GHz; genetic algorithms evaluation; mobile SOI; signal of interest; stationary SOI; stationary interferers; thwarting mobile interferers; triallelic diploid genetic algorithm; wireless interference mitigation; Array signal processing; Arrays; Interference; Jamming; Signal to noise ratio; Sociology; Statistics; Adaptive arrays; anti-jamming; evolved hardware; genetic algorithms; phased arrays; wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Modeling & Optimization in Mobile, Ad Hoc & Wireless Networks (WiOpt), 2013 11th International Symposium on

Conference_Location

Tsukuba Science City

Print_ISBN

978-1-61284-824-2

Type

conf

Filename

6576403