DocumentCode :
930908
Title :
Optimum MSK-type receivers for CPM on Gaussian and Rayleigh fading channels
Author :
Svensson, A. ; Sundberg, C-E.
Author_Institution :
University of Lund, Telecommunication Theory, Lund, Sweden
Volume :
131
Issue :
5
fYear :
1984
fDate :
8/1/1984 12:00:00 AM
Firstpage :
480
Lastpage :
490
Abstract :
Power efficient schemes with excellent power spectra are contained among the continuous phase modulation (CPM) schemes. This is a constant envelope digital modulation technique, which in general requires a maximum-likelihood sequence detector (Viterbi detector) for efficient detection. This optimum receiver is sometimes complex. In this paper a parallel MSK-type receiver is studied. It is useful for binary schemes with modulation index h = 1/2. We consider coherent detection of signals transmitted over an additive white Gaussian noise channel and also over a Rayleigh fading channel. The MSK-type receiver can be implemented with only two filters and simple decision logic. Error probability formulas are given both for the nonfading and the fading channel. A simple algorithm giving the optimum filter for the Gaussian channel for high signal/noise ratios is presented. The optimum filter for low signal/noise ratios is also derived. For intermediate signal/noise ratios numerical optimisations are presented, both for the Gaussian and the Rayleigh fading channels. We have also considered diversity schems with ideal two-branch maximal ratio combining and selection combining. The optimum receiver filters are given for some selected schemes. It is shown that also, for the more complex CPM schemes, the loss compared to the optimum receiver is moderate.
Keywords :
communication channels; fading; optimisation; phase modulation; receivers; signal detection; CPM; MSK-type receiver; Rayleigh fading channels; additive white Gaussian noise channel; algorithm; coherent detection; continuous phase modulation; decision logic; digital modulation; error probability; filters; modulation index; optimisations; power spectra; signal/noise ratios;
fLanguage :
English
Journal_Title :
Communications, Radar and Signal Processing, IEE Proceedings F
Publisher :
iet
ISSN :
0143-7070
Type :
jour
DOI :
10.1049/ip-f-1.1984.0074
Filename :
4646324
Link To Document :
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