| 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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| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
|
| 28.8 Modem |
56K Modem |
ISDN (64 Kb) |
ISDN (128 Kb) |
Higher-speed Access |
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Wiltgen_TimothyE_Masters_Thesis_ME_Dept.pdf |
1.11 Mb |
00:05:09 |
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