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The Stochastic Sinusoidal Model for Rayleigh Fading Channel Simulation
- Source :
- ICASSP (3)
- Publication Year :
- 2007
- Publisher :
- IEEE, 2007.
-
Abstract
- In this paper, we propose a new Rayleigh channel simulator. Modeling the channel by an AR process leads to numerical problems due to the bandlimitation of the theoretical power density spectrum (PSD) of a Rayleigh channel. Therefore, we suggest modeling the channel by a low-pass filtered version of the so-called stochastic sinusoidal process. It consists of sinusoids in quadrature with random magnitudes modeled as AR processes. To estimate the AR parameters of the amplitudes, we take advantage of the asymptotic behavior of the first-kind zero-order Bessel function. We show that unlike an AR channel modeling, this simulator has the advantage of exhibiting the PSD peaks at the maximum Doppler frequency, for any AR process order.
- Subjects :
- Mathematical optimization
Estimation theory
Stochastic process
Mathematical analysis
Sinusoidal model
White noise
Autoregressive model
Physics::Space Physics
Astrophysics::Solar and Stellar Astrophysics
Fading
Computer Science::Information Theory
Mathematics
Communication channel
Rayleigh fading
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
- Accession number :
- edsair.doi...........87e807b88f1a5164a7ffff40ed0d3de4