20-08-2013, 04:55 PM
MIMO Wireless Communications
[attachment=57287]
MIMO Channel Modeling
The modeling of the channel impulse response H(t)
or channel matrix H is critical for the simulation of
the MIMO communication systems
Due to insufficient spacing between antenna
elements and limited scattering in the environment,
the elements of the channel matrix are not always
independent
When modeling the MIMO channels, these effects
should be taken into account
European Union IST METRA (Multi-Element Transmit
Receive Antennas) Project [2]
An indoor measurement campaign carried out in Aalborg,
Denmark at a carrier frequency of 2.05 GHz.
A stochastic model for non-line-of-sight (NLOS) scenarios
Based on the power correlation matrix of the MIMO radio
channel
Let M be the number of transmit antennas and N be the number
of receive antennas. In the proposed wideband model, the
MIMO channel without noise is expressed as
Non-Physical MIMO Channel Models (II) 16
EU IST SATURN (Smart Antenna Technology in
Universal bRoadband wireless Network) Project
An indoor measurement campaign carried out in Bristol
For non-line-of-sight (NLOS) scenarios
Based on the first and second order moments of the measured
data
Let M be the number of transmit antennas and N be the number
of receive antennas
It was found [3] that in the typical NLOS scenarios, the channel
coefficients are zero mean complex Gaussian
Furthermore, it was reported that the channel covariance matrix
can be well approximated by the Kronecker product of the
covariance matrices seen from both ends
[attachment=57287]
MIMO Channel Modeling
The modeling of the channel impulse response H(t)
or channel matrix H is critical for the simulation of
the MIMO communication systems
Due to insufficient spacing between antenna
elements and limited scattering in the environment,
the elements of the channel matrix are not always
independent
When modeling the MIMO channels, these effects
should be taken into account
European Union IST METRA (Multi-Element Transmit
Receive Antennas) Project [2]
An indoor measurement campaign carried out in Aalborg,
Denmark at a carrier frequency of 2.05 GHz.
A stochastic model for non-line-of-sight (NLOS) scenarios
Based on the power correlation matrix of the MIMO radio
channel
Let M be the number of transmit antennas and N be the number
of receive antennas. In the proposed wideband model, the
MIMO channel without noise is expressed as
Non-Physical MIMO Channel Models (II) 16
EU IST SATURN (Smart Antenna Technology in
Universal bRoadband wireless Network) Project
An indoor measurement campaign carried out in Bristol
For non-line-of-sight (NLOS) scenarios
Based on the first and second order moments of the measured
data
Let M be the number of transmit antennas and N be the number
of receive antennas
It was found [3] that in the typical NLOS scenarios, the channel
coefficients are zero mean complex Gaussian
Furthermore, it was reported that the channel covariance matrix
can be well approximated by the Kronecker product of the
covariance matrices seen from both ends