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  • 1.Cnf-178
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2006200820102012
MCWC Conferences with Published Papers

MIC-MCWC 2006@GC-MCWC 2006
17-20 September 2006, Amman
1 Paper
Papers Published at MIC-MCWC 2006
All 1 Paper
IDAuthors and TitlePages
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-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
Paper Views 603 Paper Views Rank 79/527
Paper Downloads 210 Paper Downloads Rank 88/527
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IDAuthors and TitlePages
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
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GC-MCWC 2006 Visits: 5934||MIC-MCWC 2006 Visits: 4781||WCS Track Visits: 1663