DocumentCode :
2958351
Title :
Performance of antenna array receivers in autoregressive flat fading channels
Author :
Yan, Ming ; Rao, Bhaskar D.
Author_Institution :
Center for Wireless Commun., California Univ., San Diego, La Jolla, CA, USA
Volume :
2
fYear :
2000
fDate :
Oct. 29 2000-Nov. 1 2000
Firstpage :
995
Abstract :
In this paper, we make use of our general results on tracking fast fading channels to study several important special cases to provide insights and explore connections with well known existing results. The following special cases are considered: quasi-static Rayleigh fading channels, fast Rician fading channels and fully correlated fast Rayleigh fading channels. In particular, the role of channel estimation errors, antenna correlation and user signal correlation on detector performance are quantified. In addition, we quantify the effect of the number of training symbols on the performance of our MAP receiver with a Kalman filter. Finally, we compare our MAP receiver with two other adaptive receivers, the adaptive channel predictor and the adaptive MMSE combiner. The study uses a combination of analysis and simulations.
Keywords :
Kalman filters; Rayleigh channels; Rician channels; antenna arrays; autoregressive processes; maximum likelihood detection; radio receivers; receiving antennas; Kalman filter; MAP receiver; antenna array receivers; antenna correlation; autoregressive flat fading channels; channel estimation errors; detector performance; fast Rician fading channels; fully correlated fast Rayleigh fading channels; quasi-static Rayleigh fading channels; training symbols; user signal correlation; Analytical models; Antenna arrays; Detectors; Equations; Fading; Filters; Interference; Rayleigh channels; Receiving antennas; Rician channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-6514-3
Type :
conf
DOI :
10.1109/ACSSC.2000.910663
Filename :
910663
Link To Document :
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