Assessment of the GA-based adaptive array control strategy: the case of stochastic life-time co-channel interferences

In this paper, the performances of an adaptive antenna array control strategy, based on an improved genetic algorithm, are evaluated in terms of signal-to-interference-noise ratio (SINK). The working case considered deals with the presence of co-channel interfering signals characterized by stochastic arrivals, phases, and lifetime. This scenario provides a reliable testing benchmark for such array control methodologies. The simulation results prove the robustness of the learned real-time genetic algorithm (LRTGA) in the presence of non-deterministic interferences as well.