Evaluation of several adaptive algorithms for canceling acoustic noise in mobile radio environments

Joseph C. Liberti, Theodore S. Rappaport, John G. Proakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The authors investigate several adaptive noise-cancellation algorithms and their effectiveness in improving the quality of speech degraded by additive acoustic noise in mobile communications. A personal-computer system which was used to acquire test data and implement the algorithms is described. The algorithms studied include least mean squares (LMS), recursive least squares (RLS), a fast transversal filter (FTF) implementation of RLS, direct solution of the normal equation, and an adaptive notch filter. The results of a comparison of the algorithms based on various criteria are presented. The results of applying each of the algorithms to adaptive noise cancellation in mobile environments are described and evaluated. The FTF algorithm demonstrated excellent convergence qualities compared to the LMS algorithm.

Original languageEnglish (US)
Title of host publication41 IEEE Veh Technol Conf
PublisherPubl by IEEE
Number of pages7
ISBN (Print)0879425822
StatePublished - May 1991
Event41st IEEE Vehicular Technology Conference - St. Louis, MO, USA
Duration: May 19 1991May 22 1991

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)0740-0551


Other41st IEEE Vehicular Technology Conference
CitySt. Louis, MO, USA

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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