DSpace
 

EPrints@IIT Delhi >
Faculty Research Publicatons  >
Electrical Engineering >

Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/1845

Title: An escalator structure for adaptive beamforming
Authors: Madan, B
Kuriyan, G
Keywords: convergence rate
vector correlation matrix
input signal vector
Issue Date: 1983
Citation: Acoustics, Speech, and Signal Processing, IEEE International Conference on, 8, 356 - 358p.
Abstract: The standard LMS algorithms for adaptive beamforming though straightforward, suffer from the main draw back of having slow, convergence rate. This is normally attributed to the wide range of spread of eigenvalues of the input signal vector correlation matrix. By properly pre-whitening the input signal vector these eigenvalues can be equalized thereby improving the convergence rate. An Escalator structure recently proposed for linear prediction problems is used to pre-whiten the input signal vector. This whitened signal vector is now fed to a beam former with desired main beam shape. The overall adaptive array is computationally efficient and exhibits faster convergence rate than the conventional LMS algorithms.
URI: http://eprint.iitd.ac.in/dspace/handle/2074/1845
Appears in Collections:Electrical Engineering

Files in This Item:

File Description SizeFormat
madanesc1983.pdf41.35 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback