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  • MCWC
  • GC-MCWC 2006
  • 1.Cnf-178
Papers Published at GC-MCWC 2006
All 7 Papers
IDAuthors and TitlePages
1.Cnf-1

GS Citations

Dr. Baber Aslam
Dr. Muhammad H. Islam
Dr. Shoab Khan
802.11 disassociation DoS attack and its solutions: a survey
1-6
1.Cnf-2

GS Citations

Dr. Baber Aslam
Dr. Muhammad H. Islam
Dr. Shoab Khan
Pseudo randomized sequence number based solution to 802.11 disassociation denial of service attack
7-12
1.Cnf-3

GS Citations

Dr. Maurizio Bocca
Mr. Cristian Galperti
Dr. Reino Virrankoski
Prof. Heikki Koivo
Estimating the number of persons in an unknown indoor environment by applying wireless acoustic sensors and blind signal separation
13-18
1.Cnf-6

GS Citations

Ms. Carmen Beatriz Rodriguez Estrello
Dr. Felipe A. Cruz-Pérez
Dr. Genaro Hernandez-Valdez
System level model for the wireless channel unreliability in mobile cellular networks
19-24
1.Cnf-8 Prof. Marco Avvenuti
Prof. Paolo Corsini
Dr. Paolo Masci
Dr. Alessio Vecchio
Increasing the efficiency of preamble sampling protocols for wireless sensor networks
25-30
1.Cnf-70 Dr. Athanasios Doukas
Dr. Grigorios Kalivas
A Novel Blind Delay Spread Estimation Using Frequency Correlation for Wireless OFDM Systems
31-34
1.Cnf-73

GS Citations

Prof. Arwa Zabian
Power management mechanism for routing in ad-hoc wireless networks
35-40
1.Cnf-178 Paper View Page
Title Estimation of MC-DS-CDMA fading channels based on Kalman filtering with high order autoregressive models
Authors Mr. Walid Hassasneh, Al-Quds University, Jerusalem, Palestine
Dr. Ali A. Jamoos, Al-Quds University, Jerusalem, Palestine
Prof. Eric Grivel, Université de Bordeaux, Bordeaux, France
Dr. Hanna I. Abdel Nour, Al-Quds University, Jerusalem, Palestine
Abstract This paper deals with the estimation of rapidly time-varying Rayleigh fading channels in synchronous multi-carrier direct-sequence code division multiple access (MC-DS-CDMA) systems. When the fading channel is approximated by an autoregressive (AR) process, it can be estimated by means of Kalman filtering for instance. Nevertheless, this requires the a priori estimation of the AR parameters. One standard solution consists in first fitting the AR process autocorrelation function to the Jakes one and then solving the resulting Yule-Walker equations (YWE). However, due to the band-limited nature of the Jakes Doppler spectrum, severely ill-conditioned ¥WE are unavoidable for all but very small AR model orders. Therefore, previous studies focused only on 1st and 2nd order AR models. To overcome the ill-conditioning problem, a very small positive bias can be added to the main diagonal of the autocorrelation matrix in the ¥WE. Even if the resulting process is not band-limited and corresponds to an AR process+noise model, the approximation can be of interest. Indeed, according to our simulation results, high-order AR models+noise yield significant results in terms of spectrum approximation and bit error rate (BER). However, to reduce the computational cost, a 5th order AR model can be considered.
Track WCS: Wireless Communication Systems
Conference 1st Mosharaka International Conference on Mobile Computing and Wireless Communications (MIC-MCWC 2006)
Congress 2006 Global Congress on Mobile Computing and Wireless Communications (GC-MCWC 2006), 17-20 September 2006, Amman, Jordan
Pages --1
Topics Multicarrier Communication Systems
Spread Spectrum for Fading Channels
ISSN 2227-331X
DOI
BibTeX @inproceedings{178MCWC2006,
title={Estimation of MC-DS-CDMA fading channels based on Kalman filtering with high order autoregressive models},
author={Walid Hassasneh, and Ali A. Jamoos, and Eric Grivel, and Hanna I. Abdel Nour},
booktitle={2006 Global Congress on Mobile Computing and Wireless Communications (GC-MCWC 2006)},
year={2006},
pages={--1},
doi={}},
organization={Mosharaka for Research and Studies} }
Paper Views 47 Paper Views Rank 127/524
Paper Downloads 13 Paper Downloads Rank 371/524
GC-MCWC 2006 Visits: 20760||MIC-MCWC 2006 Visits: 16894||WCS Track Visits: 6071