Optimal and Adaptive Beamforming

Abstract

Beamforming is a signal processing technique used in sensor arrays for directional signal transmission and reception. This independent work relates to ongoing research in beamforming in Electrical Engineering Department at Princeton University. In 2012, a Princeton undergraduate thesis addressed an optical beamforming architecture which aimed to filter broadband interference in both the spatial and frequency domains, while adapting to changing signal conditions. The design used a multi-wavelength architecture to achieve high scalability. This beamforming structure was modeled and a prototype optical filter was constructed. This Independent Work continues that work by providing simulations that will assist in the testing and experiments performed with optical beamformer prototypes. The simulations developed in this Independent work model a beamforming antenna array with tapped delay line (TDL) filters. Both optimal and adaptive beamforming techniques were considered. The MATLAB source code for these simulations is included in the appendix of this report.