DocumentCode :
1443452
Title :
On the error probability of linearly modulated signals on Rayleigh frequency-flat fading channels
Author :
Aghamohammadi, Abbas ; Meyr, Heinrich
Author_Institution :
Dept. of Electr. Eng., Khajeh Nassir-al-Deen Toosi, Univ. of Technol., Tehran, Iran
Volume :
38
Issue :
11
fYear :
1990
fDate :
11/1/1990 12:00:00 AM
Firstpage :
1966
Lastpage :
1970
Abstract :
Consideration is given to optimal detection of linearly modulated signals subject to multiplicative Rayleigh-distributed distortion and additive white Gaussian noise. For coherent detection, regenerated amplitude and phase references are employed at the receiver to compensate for amplitude and phase deviations from the correct values. A system model is formulated under the assumption of perfect symbol timing and in the absence of intersymbol interference, producing a final additive noise term, applied just before the detection, which contains the effects of the original additive and multiplicative distortions and of the errors in the phase and amplitude references. By determining the probability density function of this final noise term for arbitrary types of linear modulation, it is possible to perform exact calculations of error probabilities
Keywords :
amplitude modulation; error statistics; fading; mobile radio systems; phase shift keying; signal detection; white noise; QAM; Rayleigh frequency-flat fading channels; additive white Gaussian noise; amplitude reference; coherent detection; error probability; linearly modulated signals; mobile communication systems; multiplicative Rayleigh-distributed distortion; optimal detection; perfect symbol timing; phase reference; probability density function; system model; Additive noise; Baseband; Chirp modulation; Distortion; Error probability; Fading; Intersymbol interference; Matched filters; Phase detection; Timing;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.61478
Filename :
61478
Link To Document :
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