Enhanced adaptive beamforming using LMMN algorithm with SMI initialization

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 spec...

Full description

Saved in:
Bibliographic Details
Main Authors: Shubair, R.M., Jimaa, S.A., Omar, A.A.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive arrays
Antenna arrays
Array signal processing
Convergence
Cost function
Estimation error
Least squares approximation
Signal processing
Steady-state
Vectors
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1522-3965
1947-1491
DOI:10.1109/APS.2009.5171469