DocumentCode :
1681666
Title :
Estimation of MIMO Channel Capacity from Phase-Noise Impaired Measurements
Author :
Pedersen, Troels ; Yin, Xuefeng ; Fleury, Bernard H.
Author_Institution :
Dept. of Electron. Syst., Aalborg Univ., Aalborg
fYear :
2008
Firstpage :
1
Lastpage :
6
Abstract :
Due to the significantly reduced cost and effort for system calibration time-division multiplexing (TDM) is a commonly used technique to switch between the transmit and receive antennas in multiple-input multiple-output (MIMO) radio channel sounding. Nonetheless, Baum et al. have shown that phase noise of the transmitter and receiver local oscillators, when it is assumed to be a white Gaussian random process, can cause large errors of the estimated channel capacity of a low-rank MIMO channel when the standard channel matrix estimator is used. Experimental evidence shows that consecutive phase noise samples affecting measurement samples collected with real TDM-MIMO channel sounders are correlated. In this contribution a capacity estimator that accounts for the phase noise correlation is proposed. The estimator is based on a linear minimum mean square error estimate of the MIMO channel matrix. It is shown by means of Monte Carlo simulations assuming a measurement- based phase noise model, that the MIMO channel capacity can be estimated accurately for signal-to-noise ratios up to about 35 dB.
Keywords :
Gaussian noise; MIMO communication; Monte Carlo methods; channel capacity; estimation theory; matrix algebra; mean square error methods; random processes; time division multiplexing; wireless channels; MIMO channel capacity estimation; MIMO channel matrix; Monte Carlo simulations; linear minimum mean square error estimation; phase-noise impaired measurements; radio channel sounding; standard channel matrix estimator; system calibration; time-division multiplexing; white Gaussian random process; Antenna measurements; Calibration; Channel capacity; Costs; MIMO; Noise measurement; Phase estimation; Phase measurement; Phase noise; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location :
New Orleans, LO
ISSN :
1930-529X
Print_ISBN :
978-1-4244-2324-8
Type :
conf
DOI :
10.1109/GLOCOM.2008.ECP.635
Filename :
4698410
Link To Document :
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