Paper Info
Title
SER of selection diversity MFSK with channel estimation errors
Abstract
The performance of the selection diversity combiner in slowly and flatly fading channels is studied. Unlike most previous works where perfect knowledge of the signal amplitude and the noise power is assumed, in this analysis, knowledge of the signal amplitude and the noise power is obtained by using practical estimators that introduce estimation errors. The average symbol error rate of the combiner is derived for noncoherent M-ary frequency shift keying signals, independent and non-identically distributed diversity branches and unequal noise powers. The effect of estimation errors on the performance of the combiner is evaluated and illustrated by numerical examples. An interesting and useful conclusion is that it is disadvantageous to employ signal-to-noise ratio as a branch selection criterion when the branch noise powers are known a priori to be equal
Year
DOI
Venue
2006
10.1109/TWC.2006.1673103
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
channel estimation error,diversity branch,diversity reception,perfect knowledge,unequal noise power,branch noise power,fading channels,selection diversity mfsk,noncoherent m-ary frequency shift keying signals,signal amplitude,estimation error,branch selection criterion,selection diversity combiner,frequency shift keying,flatly fading channels,noise power,channel estimation,signal-to-noise ratio,channel estimation errors,average symbol error rate,indexing terms,diversity combining,fading,signal analysis,rayleigh fading,signal to noise ratio,fading channel
Noise power,Rayleigh fading,Telecommunications,Fading,Frequency-shift keying,A priori and a posteriori,Signal-to-noise ratio,Algorithm,Communication channel,Real-time computing,Mathematics,Estimator
Journal
Volume
Issue
ISSN
5
7
1536-1276
Citations 
PageRank 
References 
5
0.86
7
Authors
2
Name
Order
Citations
PageRank
Yunfei Chen112012.92
Norman C. Beaulieu21463163.86