Performance analysis of narrowband beamforming using fully and partial adaptive beamformers with a spherical array

Abstract

This research proposes an improved narrowband partial adaptive beamformer analysis using a proposed spherical array. Comparison between the fully and the partial adaptive beamformers is given. The study is performed by investigating performance parameters like the beamformer output signal-to-noise ratio and the beamformer output signal-to-interference-plus-noise ratio both in the steady state and along adaptation. Furthermore, computational complexity and convergence speed of the proposed sensor arrangement are also analyzed and examples are given. The results demonstrate that this beamformer considerably reduces the number of complex operations and features faster convergence speed.

Review of state-of-the-art wireless technologies and applications in smart cities

“…[25] These methods adaptively reduce the interference signal levels to that of the isotropic noise, which is the same as to maximize the output signal-to-interference-plus-noise ratio (SINR). These beamformers are referred to as the optimum fully adaptive beamformers (FAB) which fully adaptive is given because the beamformers use adaptation on all sensor weights [26]. However, the computational complexity of these narrowband beamforming is extremely high when the user number is large.…”