BibTex format
@inproceedings{Hasan:2006,
author = {Hasan, MK and Naylor, PA},
title = {Analyzing effect of noise on LMS-type approaches to blind estimation of SIMO channels: Robustness issue},
year = {2006}
}
Citation
RIS format (EndNote, RefMan)
TY - CPAPER
AB - An analysis of the noise effect on the convergence characteristic of the least-mean-squares (LMS) type adaptive algorithms for blind channel identification is presented. It is shown that the adaptive blind algorithms misconverge in the presence of noise. A novel technique for ameliorating such misconvergence characteristic, using a frequency domain energy constraint in the adaptation rule, is proposed. Experimental results demonstrate that the robustness of the blind adaptive algorithms can be significantly improved using such constraints.
AU - Hasan,MK
AU - Naylor,PA
PY - 2006///
SN - 2219-5491
TI - Analyzing effect of noise on LMS-type approaches to blind estimation of SIMO channels: Robustness issue
ER -
Contact us
Address
Speech and Audio Processing Lab
CSP Group, EEE Department
Imperial College London
Exhibition Road, London, SW7 2AZ, United Kingdom