Enhancements to the Generalized Sidelobe Canceller for Audio Beamforming in an Immersive Environment
Date Available
12-7-2011
Year of Publication
2009
Degree Name
Master of Science (MS)
Document Type
Thesis
College
Engineering
Department
Electrical Engineering
First Advisor
Dr. Kevin D. Donohue
Abstract
The Generalized Sidelobe Canceller is an adaptive algorithm for optimally estimating the parameters for beamforming, the signal processing technique of combining data from an array of sensors to improve SNR at a point in space. This work focuses on the algorithm’s application to widely-separated microphone arrays with irregular distributions used for human voice capture. Methods are presented for improving the performance of the algorithm’s blocking matrix, a stage that creates a noise reference for elimination, by proposing a stochastic model for amplitude correction and enhanced use of cross correlation for phase correction and time-difference of arrival estimation via a correlation coefficient threshold. This correlation technique is also applied to a multilateration algorithm for an efficient method of explicit target tracking. In addition, the underlying microphone array geometry is studied with parameters and guidelines for evaluation proposed. Finally, an analysis of the stability of the system is performed with respect to its adaptation parameters.
Recommended Citation
Townsend, Phil, "Enhancements to the Generalized Sidelobe Canceller for Audio Beamforming in an Immersive Environment" (2009). University of Kentucky Master's Theses. 645.
https://uknowledge.uky.edu/gradschool_theses/645
