DocumentCode
1219260
Title
Error Rate for Peak-Limited Coherent Binary Channels
Author
Aein, Joseph M.
Author_Institution
Institute for Defense Analyses, Arlington, VA, USA
Volume
16
Issue
1
fYear
1968
fDate
2/1/1968 12:00:00 AM
Firstpage
35
Lastpage
44
Abstract
An exponential-type bound on error rate Pe for peaklimited binary coherent channels operated at low signal-to-noise ratio (SNR) is presented. The bound depends exponentially only on the first and second moments of the channel output and serves to justify, in part, the use of SNR calculations for error-rate performance. It is assumed that the receiver output
is given by a simple sum of
identically distributed, independent random variables wi , each of which is decomposable into the sum of two independent random variables zi and ηi , i.e.,
. The zi are peak limited by
, whereas ηi are normal (
). The zi represent the output of a peak-limited channel and the ηi represent any post channel receiver thermal noise (which may be zero,
). For example, the zi may represent the output of a bandpass-limited satellite repeater, with an interference input in addition to the desired signal, and ηi the front-end noise in a receiving ground station. No assumption as to the channel-limiting characteristic or interference model, other than stated above, is made. Defining α as the ratio
(i.e., twice the receiver input average SNR) and β as the ratio
(i.e., twice the receiver input peak SNR), then for
,
, i. e., twice the geometric mean of average and peak SNR. If all odd moments of
have the same sign then a larger μ is obtained:
Upper bounds on the size of α and β are provided to guarantee
. An example of a captured limiter that exhibits SNR suppression effects on the error rate is presented.
is given by a simple sum of
identically distributed, independent random variables w
. The z
, whereas η
). The z
). For example, the z
(i.e., twice the receiver input average SNR) and β as the ratio
(i.e., twice the receiver input peak SNR), then for
,
, i. e., twice the geometric mean of average and peak SNR. If all odd moments of
have the same sign then a larger μ is obtained:
Upper bounds on the size of α and β are provided to guarantee
. An example of a captured limiter that exhibits SNR suppression effects on the error rate is presented.Keywords
Communications technology; Error analysis; Filtering theory; Gaussian channels; Information theory; Interference; Random variables; Satellite ground stations; Signal to noise ratio; Upper bound;
fLanguage
English
Journal_Title
Communication Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9332
Type
jour
DOI
10.1109/TCOM.1968.1089812
Filename
1089812
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