Stochastic Differential Equations for Modeling, Estimation and Identification of Mobile-to-Mobile Communication Channels

Journal Article · Thu Jan 01 04:00:00 EST 2009 · IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

DOI:https://doi.org/10.1109/TWC.2009.071068· OSTI ID:1003780

Olama, Mohammed M ^[1]; Djouadi, Seddik M ^[1]; Charalambous, Prof. Charalambos ^[2]

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1. ORNL
2. University of Cyprus

Mobile-to-mobile networks are characterized by node mobility that makes the propagation environment time varying and subject to fading. As a consequence, the statistical characteristics of the received signal vary continuously, giving rise to a Doppler power spectral density (DPSD) which varies from one observation instant to the next. The current models do not capture and track the time varying characteristics. This paper is concerned with dynamical modelling of mobile-to-mobile channels, parameter estimation and identification from received signal measurements. The evolution of the propagation environment is described by stochastic differential equations. In particular, it is shown that the parameters of the models can be determined by approximating the band-limited DPSD using the Gauss-Newton method. However, since the DPSD is not available online, we propose to use a filter-based expectation maximization algorithm and Kalman filter to estimate the channel parameters and states, respectively. The scheme results in a finite dimensional filter which only uses the first and second order statistics. The algorithm is recursive allowing the inphase and quadrature components and parameters to be estimated online from received signal measurements. The algorithms are tested using experimental data collected from moving sensor nodes in indoor and outdoor environments demonstrating the method s viability.

• Research Organization: Oak Ridge National Laboratory (ORNL)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1003780
• Journal Information: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, Journal Name: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS Journal Issue: 4 Vol. 8; ISSN 1536-1276
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
ALGORITHMS
COMMUNICATIONS
DIFFERENTIAL EQUATIONS
Doppler spectral density
INDOORS
Kalman filter
Mulipath fading channels
OUTDOORS
QUADRATURES
SIMULATION
SPECTRAL DENSITY
STATISTICS
VIABILITY
estimation and identification.
expectation maximization
stochastic differential equations