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 Pefor 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 V is given by a simple sum of n( = [TW]) identically distributed, independent random variables wi, each of which is decomposable into the sum of two independent random variables ziand ηi, i.e., w_{i} = z_{i}+\\eta_{i} . The ziare peak limited by B_{z},|z_{i}| \\leq B_{z} , whereas ηiare normal ( 0, \\sigma ^{2} ). The zirepresent the output of a peak-limited channel and the ηirepresent any post channel receiver thermal noise (which may be zero, \\sigma ^{2} = 0 ). For example, the zimay represent the output of a bandpass-limited satellite repeater, with an interference input in addition to the desired signal, and ηithe 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 [Ew]^{2}/var w (i.e., twice the receiver input average SNR) and β as the ratio B_{z}^{2}/var w (i.e., twice the receiver input peak SNR), then for \\alpha < 1 , P_{e} < e^{-n\\mu} \\mu=frac{\\alpha }{2}(1-\\alpha )-frac {\\gamma ^{3}}{6} e^{\\gamma } \\gamma = \\sqrt {\\alpha \\beta } , i. e., twice the geometric mean of average and peak SNR. If all odd moments of z have the same sign then a larger μ is obtained: \\mu=frac{\\alpha }{2}(1-\\alpha )-frac{\\gamma ^{4}}{24}e^{\\gamma ^{2}}/28 Upper bounds on the size of α and β are provided to guarantee - \\mu > 0 . 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
Link To Document :
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