A wideband direct data domain genetic algorithm beamforming approach to adaptive processing using fast fourier transform

In this study, a wideband direct data domain genetic algorithm beamforming approach to adaptive processing using fast Fourier transform is presented. Received wideband signals are decomposed to a set of frequency narrow subbands using fast Fourier transform. Each subband could be treated separately after being transformed to a reference frequency using the steering vector transformation technique; hence narrowband approaches could be used for any of these subbands. So, the matrix pencil method will be used to estimate the directions of arrival of all incident signals´ frequency components. Finally, direct data domain genetic algorithm beamforming approach will be used; the formed hybrid beam pattern capability to reconstruct the frequency components of the signal of interest will be investigated using numerical examples.