Deakin home > Deakin University Library > Deakin Research Online > A new adaptive blind channel identification algorithm

A new adaptive blind channel identification algorithm

Peng, Dezhong, Xiang, Yong and Yi, Zhang 2009, A new adaptive blind channel identification algorithm, Chaos, solitons and fractals, vol. 41, no. 1, pp. 354-359.

Attached Files (Some files may be inaccessible until you login with your Deakin Research Online credentials)
Name Description MIMEType Size Downloads

Title A new adaptive blind channel identification algorithm
Author(s) Peng, Dezhong
Xiang, Yong
Yi, Zhang
Journal name Chaos, solitons and fractals
Volume number 41
Issue number 1
Start page 354
End page 359
Total pages 6
Publisher Pergamon
Place of publication Kidlington, England
Publication date 2009-07
ISSN 0960-0779
1873-2887
Keyword(s) blind identification
finite-impulse-response (FIR)
single-input multiple-output (SIMO)
Summary This paper addresses the blind identification of single-input multiple-output (SIMO) finite-impulse-response (FIR) systems. We first propose a new adaptive algorithm for the blind identification of SIMO FIR systems. Then, its convergence property is analyzed systematically. It is shown that under some mild conditions, the proposed algorithm is guaranteed to converge in the mean to the true channel impulse responses in both noisy and noiseless cases. Simulations are carried out to demonstrate the theoretical results.
Language eng
Field of Research 090609 Signal Processing
Socio Economic Objective 890104 Mobile Telephone Networks and Services
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
HERDC collection year 2009
Copyright notice ©2008, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30028081

Document type: Journal Article
Collection: School of Engineering
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in Deakin Research Online is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Access Statistics: 364 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Thu, 01 Apr 2010, 15:57:22 EST by Sandra Dunoon