An anti-jamming beamformer optimized using evolvable hardware

This paper presents a genetically evolved antijamming beamforming array. The performance of a genetic algorithm (GA) is evaluated in situ as part of a hardware-in-the-loop optimization system. The GA was able to find reasonable beamformer settings to thwart a maximum of three stationary jammers while allowing reception of a signal of interest. Although the array operates in the 2.4 GHz 802.11g band, the results are applicable to other applications because the GA does not require signal directions and modulation schemes a priori. An analysis of algorithmic convergence time is also presented.