Adaptive Beamforming in High-Interference Environments Using a Software-Defined Radio Array

Digital beamforming adaptive nulling algorithms analyze the digital signals received by the beamformer to cancel interference while receiving a desired signal. In high-interference environments, however, classical approaches to digital beamforming often cannot distinguish between the intended signal and interferences, disrupting the intended operation. Here we present a novel beamforming methodology based on evolutionary search techniques that is capable of adaptive interference cancellation in high-interference environments. We present experimental results on the performance of our proposed technique using an in-house developed software defined radio digital beamformer.