Sayyarrodsari, Bijan and How, Jonathan P. and Hassibi, Babak and Carrier, Alain (2000) Estimation-based multi-channel adaptive algorithm for filtered-LMS problems. In: Proceedings of the 2000 American Control Conference. Vol.5. IEEE , Piscataway, NJ, pp. 3192-3197. ISBN 0-7803-5519-9. https://resolver.caltech.edu/CaltechAUTHORS:20150213-073143336
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Abstract
This paper presents an estimation-based adaptive filtering algorithm for the multi-channel Filtered-LMS problems where a number of adaptively controlled secondary sources use multiple reference signals to cancel the effect of a number of primary sources (i.e. disturbance sources) as seen by a number of error sensors. We show that our estimation based approach easily extends to the multi-channel case, and that it maintains all of the stability and performance features of the single-channel solution. The problem of noise cancellation in a one dimensional acoustic duct, and a structural vibration control problem are chosen to examine the main characteristics of the proposed multi-channel adaptive algorithm. The performance of the new multi-channel adaptive algorithm is compared to the performance of a multi-channel implementation of the FAMS algorithm in these cases, and it is shown that the new algorithm provides a faster response, with improved transient behavior and steady-state performance.
| Item Type: | Book Section | |||||||||
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| Additional Information: | © 2000 IEEE. This work is supported by grants from Lockheed Martin Missiles & Space, and the Powell Foundation at Stanford University. | |||||||||
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| DOI: | 10.1109/ACC.2000.879154 | |||||||||
| Record Number: | CaltechAUTHORS:20150213-073143336 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20150213-073143336 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 54808 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Shirley Slattery | |||||||||
| Deposited On: | 18 Feb 2015 00:46 | |||||||||
| Last Modified: | 10 Nov 2021 20:38 |
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