Performance analysis of adaptive noise canceller in real-time automobile environments

In this paper, we proposed an algorithm for adaptive noise cancellation (ANC) using the variable step size least mean square (VSSLMS) in real-time automobile environment. As a basic algorithm for ANC, the LMS algorithm has been used for its simplicity. However, the LMS algorithm has problems of both...

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Bibliographic Details
Published in2007 Thirty-Ninth Southeastern Symposium on System Theory pp. 169 - 172
Main Authors Jae-Hoon Park, Joonwan Kim, Jae-Kyun Lee, Si-Woo Kim, Chae-Wook Lee
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2007
Subjects
Automobiles
Computer simulation
Convergence
Data acquisition
Engines
Least squares approximation
Noise cancellation
Performance analysis
Real time systems
Universal Serial Bus
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Summary:In this paper, we proposed an algorithm for adaptive noise cancellation (ANC) using the variable step size least mean square (VSSLMS) in real-time automobile environment. As a basic algorithm for ANC, the LMS algorithm has been used for its simplicity. However, the LMS algorithm has problems of both convergence speed and estimation accuracy in real-time environment. In order to solve these problems, the VSSLMS algorithm for ANC is considered in a nonstationary environment. By computer simulation using real-time data acquisition system (USB 6009), the VSSLMS algorithm turns out to be more effective than the LMS algorithm in both convergence speed and estimation accuracy, especially for the colored input signal used in ANC of engine noise.
ISBN:1424410517
9781424410514
ISSN:0094-2898
2161-8135
DOI:10.1109/SSST.2007.352341