Low-complexity variable forgetting factor constant modulus RLS-based algorithm for blind adaptive beamforming

In this paper, we propose a novel low-complexity variable forgetting factor (VFF) mechanism to enhance the performance of recursive least squares (RLS) algorithms for adaptive blind beamforming. The beamformer is designed according to the constrained constant modulus (CCM) criterion, and the propose...

Full description

Saved in:

Bibliographic Details
Published in:	Conference record - Asilomar Conference on Signals, Systems, & Computers pp. 171 - 175
Main Authors:	Boya Qin, Yunlong Cai, Champagne, Benoit, Minjian Zhao, Yousefi, Siamak
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2013
Subjects:	Adaptive blind beamforming Algorithm design and analysis Array signal processing Arrays constrained constant modulus Convergence Signal processing algorithms Steady-state variable forgetting factor Vectors
ISSN:	1058-6393
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	In this paper, we propose a novel low-complexity variable forgetting factor (VFF) mechanism to enhance the performance of recursive least squares (RLS) algorithms for adaptive blind beamforming. The beamformer is designed according to the constrained constant modulus (CCM) criterion, and the proposed algorithm operates in the generalized sidelobe canceler (GSC) structure for implementation. The proposed variable forgetting factor mechanism employs a new component updated by the time average of the constant modulus (CM) cost function, to adjust the forgetting factor. A complexity comparison is provided to show its advantages over existing methods. The study of the steady-state analysis is carried out. Simulation results which are presented for a nonstationary scenario illustrate that the proposed variable forgetting factor mechanism achieves a superior performance compared to existing algorithms.
ISSN:	1058-6393
DOI:	10.1109/ACSSC.2013.6810253