Beamforming for mitigation of interference for different antenna array geometry

Abstract

DOA estimation and Beamforming is one of the most crucial requirements of the Communication system design of RADAR, Satellite communication, Wireless communication. This Estimation performance differs for different antenna-array geometry. Remarkable progress in algorithm development has been made over the last decade. Using a sensor array of a particular configuration, we can improve the parameter estimation accuracy from the observation data in the presence of interference and noise. This Thesis is interested in how different algorithms for estimation perform for different antenna-array geometry and their comparative performance study. This motivates us to study interference and jamming attacks and comparative study on their performance. We will focus on conventional matched filter-based Beamforming, MVDR, MUSIC, and Expectation Maximization. We will review the version and limitations of these methods. A simulation model in MATLAB is used for the performance analysis. This thesis provides an overview of the conventional beamforming method, matched filtering method, MVDR, Expectation-Maximization, and the MUSIC method for DOA estimation and a study of their estimation error for ULA. We analyzed the planar array and circular array and MUSIC algorithm for both. We researched different interference cancellation techniques and performed their MATLAB comparative simulation study.