Improved adaptive beamforming using the Least Mean Mixed-Norm algorithm

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3 Scopus citations

Abstract

This paper examines the use of a non-quadratic adaptive algorithm known as the Least Mean Mixed-Norm (LMMN) for the design of adaptive beamformers in smart antenna systems. It is shown that the proposed LMMN algorithm reduces the mean square error (MSE) indicating that it has a faster convergence rate when compared to the standard LMS algorithm. The improved performance of the proposed LMMN algorithm is also verified from the output beam pattern which shows deeper nulls towards interferring signals.

Original languageBritish English
Title of host publication2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
DOIs
StatePublished - 2007
Event2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 - Sharjah, United Arab Emirates
Duration: 12 Feb 200715 Feb 2007

Publication series

Name2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings

Conference

Conference2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007
Country/TerritoryUnited Arab Emirates
CitySharjah
Period12/02/0715/02/07

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