Algorithm comparison for in-situ beamforming

This paper compares the Simple Genetic Algorithm (SGA) to a 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 to thwart two jammers while allowing reception of a signal of interest (SOI). The array operates in the 2.4 GHz 802.11g 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. An analysis of SGA and TDGA convergence times is also presented.