Research about Adjusted Step Size NLMS Algorithm Using SNR 


Vol. 33,  No. 4, pp. 305-311, Apr.  2008


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  Abstract

In this paper, we proposed an algorithm for adaptive noise cancellation (ANC) using the variable step size normalized least mean square (VSSNLMS) 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 nonstationary environment. By computer simulation using real-time data acquisition system(USB 6009), VSSNLMS algorithm turns out to be more effective than the LMS algorithm in both convergence speed and estimation accuracy.

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  Cite this article

[IEEE Style]

J. Lee, J. Park, C. Lee, "Research about Adjusted Step Size NLMS Algorithm Using SNR," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 4, pp. 305-311, 2008. DOI: .

[ACM Style]

Jae-Kyun Lee, Jae-Hoon Park, and Chae-Wook Lee. 2008. Research about Adjusted Step Size NLMS Algorithm Using SNR. The Journal of Korean Institute of Communications and Information Sciences, 33, 4, (2008), 305-311. DOI: .

[KICS Style]

Jae-Kyun Lee, Jae-Hoon Park, Chae-Wook Lee, "Research about Adjusted Step Size NLMS Algorithm Using SNR," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 4, pp. 305-311, 4. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880