By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Jae-Hoon Park ; Dept. of Comput. & Commun. Eng., Daegu Univ., Gyeongsan ; Joonwan Kim ; Jae-Kyun Lee ; Si-Woo Kim
more authors

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.

Published in:

System Theory, 2007. SSST '07. Thirty-Ninth Southeastern Symposium on

Date of Conference:

4-6 March 2007