Title page for ETD etd-05222007-102626


Type of Document Master's Thesis
Author Wiltgen, Timothy Edward
URN etd-05222007-102626
Title Adaptive Beamforming using ICA for Target Identification in Noisy Environments
Degree Master of Science
Department Mechanical Engineering
Advisory Committee
Advisor Name Title
Roan, Michael J. Committee Chair
Carneal, James P. Committee Member
Fuller, Christopher R. Committee Member
Keywords
  • Wiener Filter
  • ICA
  • MVDR
  • Microphone Array
  • Adaptive Beamforming
Date of Defense 2007-05-09
Availability unrestricted
Abstract
The blind source separation problem has received a great deal of attention in previous years. The aim of this problem is to estimate a set of original source signals from a set of linearly mixed signals through any number of signal processing techniques. While many methods exist that attempt to solve the blind source separation problem, a new technique is being used that uniquely separates audio sources as they are received from a microphone array. In this thesis a new algorithm is proposed that that utilizes the ICA algorithm in conjunction with a filtering technique that separates source signals and then removes sources of interference so that a signal of interest can be accurately tracked. Experimental results will compare a common blind source separation technique to the new algorithm and show that the new algorithm can detect a signal of interest and accurately track it as it moves through an anechoic environment.
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