DocumentCode :
754911
Title :
Symbol error probability of two-dimensional signaling in Ricean fading with imperfect channel estimation
Author :
Dong, Xiaodai ; Xiao, Lei
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Victoria, BC, Canada
Volume :
54
Issue :
2
fYear :
2005
fDate :
3/1/2005 12:00:00 AM
Firstpage :
538
Lastpage :
549
Abstract :
In this paper, a general analytical framework is developed for calculating the symbol error rate of two-dimensional (2-D) signaling in Ricean fading with imperfect channel estimation. We show that in the presence of channel estimation errors, the symbol error rate of arbitrary 2-D signaling in Ricean fading can be expressed as a two-fold proper integral with finite integration limits, which is suitable for numerical evaluation. This new analysis is applicable to any channel estimation scheme where the estimated and the actual channel gains are jointly complex-Gaussian. System parameters related to specific channel estimation schemes are optimized and the effect of Doppler frequency shift in the channel line-of-sight component on the error performance is investigated using our analysis.
Keywords :
Doppler shift; Gaussian channels; Rician channels; channel estimation; error statistics; integration; telecommunication signalling; Doppler frequency shift; Ricean fading; channel estimation; finite integration limit; jointly complex-Gaussian; line-of-sight component; symbol error probability; two-dimensional signaling; two-fold proper integral; Channel estimation; Error analysis; Error probability; Estimation error; Fading; Mean square error methods; Performance analysis; Rayleigh channels; Signal analysis; Two dimensional displays; Imperfect channel estimation; Ricean fading; minimum mean square error (MMSE) estimation; pilot symbol assisted modulation (PSAM); symbol error rate (SER); two-dimensional (2-D) signaling;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2004.841537
Filename :
1412075
Link To Document :
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