Adaptive Beamforming using ICA for Target Identification in Noisy Environments

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.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Mechanical Engineering

Department dc:contributor.department

Mechanical Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2007

Author dc:creator

• Wiltgen, Timothy Edward

Chair dc:contributor.committeechair

• Roan, Michael J.

Committee members dc:contributor.committeemember

• Carneal, James P.
• Fuller, Christopher R.

• Wiener Filter
• ICA
• MVDR
• Microphone Array
• Adaptive Beamforming

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

etd-05222007-102626

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/33118