Title :
Stochastic modelling of Rice fading channels with temporal, spatial and spectral correlation
Author :
Kunnari, E. ; Iinatti, J.
Author_Institution :
Centre for Wireless Commun., Univ. of Oulu, CWC
fDate :
4/1/2007 12:00:00 AM
Abstract :
A statistical characterisation of a small-scale fading mobile radio channel is presented and a fading simulator for the simulation of multiple input-multiple output multicarrier systems is introduced. The derivation of the equivalent lowpass channel as a function of time, transmit and receive antenna positions and subcarrier frequency, leads to a tapped delay-line model with time, space and frequency-selective taps. The taps are modelled as a sum of a deterministic line-of-sight or dominant scattered path and a zero-mean Gaussian part composed of a number of unresolvable scattered paths, and are therefore Rice fading. The Gaussian parts can have the desired temporal and spatiospectral correlations generated by time-correlation shaping filtering and a space-frequency correlation transformation, respectively. The structure and details of the simulator are presented, and the simulator is shown to achieve good accuracy while retaining a reasonable computational complexity.
Keywords :
MIMO communication; antenna arrays; correlation methods; fading channels; low-pass filters; mobile radio; spectral analysis; statistical analysis; stochastic processes; Rice fading channel; lowpass channel; mobile radio; multiple input-multiple output multicarrier system; receive antenna; space-frequency correlation transformation; spatial correlation; spectral correlation; statistical characterisation; stochastic modelling; tapped delay-line model; temporal correlation; time-correlation shaping filtering; transmit antenna;
Journal_Title :
Communications, IET
DOI :
10.1049/iet-com:20050654