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Research about Adjusted Step Size NLMS Algorithm Using SNR  

Lee, Jae-Kyun (대구대학교 통신공학과)
Park, Jae-Hoon (대구대학교 통신공학과)
Lee, Chae-Wook (대구대학교 통신공학과)
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.
Keywords
LMS; VSSNLMS; LabVIEW; Real-time;
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