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

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.