Enhanced adaptive beamforming using LMMN algorithm with SMI initialization

Author

Shubair, R.M. ; Jimaa, S.A. ; Omar, A.A.

Author_Institution

Commun. Eng. Dept., Khalifa Univ., United Arab Emirates

fYear

2009

fDate

1-5 June 2009

Firstpage

1

Lastpage

4

Abstract

The purpose of this paper is to develop an enhanced adaptive beamforming algorithm based on LMMN but with SMI initialization to ensure faster convergence. It is shown that judicious choice of the LMMN algorithm mixing parameter provides an algorithm with intermediate performance between the two special cases of least mean squares (LMS) and least mean fourth (LMF) algorithms. It is shown that the developed LMMN algorithm along with SMI initialization provides better steady state performance than the LMS algorithm and better stability properties than the LMF algorithm.

Keywords

array signal processing; least mean squares methods; matrix inversion; LMMN algorithm; SMI initialization; adaptive beamforming; least mean fourth algorithms; least mean mixed norm algorithm; least mean squares algorithms; mixing parameter; sample matrix inversion; Adaptive arrays; Antenna arrays; Array signal processing; Convergence; Cost function; Estimation error; Least squares approximation; Signal processing; Steady-state; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 2009. APSURSI '09. IEEE

Conference_Location

Charleston, SC

ISSN

1522-3965

Print_ISBN

978-1-4244-3647-7

Type

conf

DOI

10.1109/APS.2009.5171469

Filename

5171469