DocumentCode
939741
Title
Transmission of log-PCM via QAM over Gaussian and Rayleigh fading channels
Author
Steele, R. ; Sundberg, C.-E.W. ; Wong, W.C.
Author_Institution
University of Southampton, Department of Electronics & Computer Science, Southampton, UK
Volume
134
Issue
6
fYear
1987
fDate
10/1/1987 12:00:00 AM
Firstpage
539
Lastpage
556
Abstract
The digital noise power due to transmission errors is determined for 8-bit ¿¿-law PCM, ¿¿ = 255, signals transmitted via M-level QAM, M = 16, 64 and 256, over Gaussian and Rayleigh fading channels. The analytical results apply for various laws that map the 8-bit ¿¿-law PCM signal into the QAM format, and for different binary Gray codes used to represent the QAM signal points. In addition to the theoretical results expressed as overall speech signal/noise ratio (SNR) as a function of channel SNR for different input speech signal levels, simulations for Gaussian and mobile radio channels using speech signals are also presented. From our deliberations we can conclude that the 256-level QAM system employing the best mapping law and Gray code has a gain of about 6dB in overall speech SNR compared to transmission without co-ordination of the speech bits over a Gray-coded link. Corresponding gains for 16-level and 64-level QAM are marginally smaller. By increasing the number of QAM levels from 4 to 256, the required increase in channel SNR per bit to maintain an overall speech SNR of 30 dB is approximately 12 dB. The bandwidth efficiency increases by a factor of four. The theoretical analysis in the paper is approximate. Only the effect of the most likely channel errors (single errors) has been taken into account. The theoretical results coincides well with the simulations, where such approximations were made.
Keywords
amplitude modulation; digital communication systems; encoding; fading; pulse-code modulation; speech analysis and processing; 6 dB; Gaussian fading channels; M-level QAM; Rayleigh fading channels; binary Gray codes; digital noise power; input speech signal levels; mapping law; mobile radio channels; speech signal/noise ratio; speech signals;
fLanguage
English
Journal_Title
Communications, Radar and Signal Processing, IEE Proceedings F
Publisher
iet
ISSN
0143-7070
Type
jour
DOI
10.1049/ip-f-1.1987.0093
Filename
4647266
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