Genetic Algorithm based Smart Antenna design for UWB Beamforming

In this paper we propose a smart antenna for Impulse-based UWB beamforming. This multi-element antenna combines received signals intelligently to collect the desired UWB signal and to suppress UWB interference coming from other than the look direction of the antenna. We propose the use of genetic algorithms (GA) to determine the optimal weights of the antenna based on interference directions. In GA, the weights are represented as chromosomes on which genetic operators are repeatedly applied to find better solutions. Simulation results shows M element antenna can suppress up to M-l interferences and also the interference power decreases with increase in number of antenna elements. Tap delay of VBW with minimum number of taps gives suboptimal performance regardless of the number of taps used.