An in-situ optimized anti-jamming beamformer for mobile signals

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.