DocumentCode
1128868
Title
Balanced Detection of Correlated Incoherent Signals: A Statistical Analysis of Intensity Noise With Experimental Validation
Author
Abtahi, Mohammad ; Ayotte, Simon ; Penon, Julien ; Rusch, Leslie A.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. Laval, Quebec City, QC
Volume
26
Issue
10
fYear
2008
fDate
5/15/2008 12:00:00 AM
Firstpage
1330
Lastpage
1338
Abstract
We study the balanced detection of broadband incoherent optical signals-signals characterized by high-intensity noise. We consider signals generated from a single incoherent source with two types of correlation: identical spectra, but delayed in time, and overlapping, nonidentical spectra but zero time delay. Our statistical analysis yields equations for the probability density function (pdf) of the balanced detector output for partially correlated input signals based on easily measured system parameters (power spectral densities in one case, relative time delay in the other). Using analytical tools we derive expressions for output pdfs giving extremely good prediction of measured pdfs for signals with correlation coefficient up to 95%. The analytic expressions can be used to characterize system performance, in particular, bit error rate for communications systems.
Keywords
code division multiple access; error statistics; optical correlation; optical fibre communication; optical noise; optical signal detection; probability; SAC-OCDMA; analytic expression; balanced detection; bit error rate; broadband incoherent optical signals; correlation coefficient; intensity noise; optical code division multiple access; optical communication system; partially correlated input signals; power spectral densities; probability density function; single incoherent source; spectrally amplitude coding; statistical analysis; Balanced detection; broadband incoherent light source; intensity noise; optical code-division multiple access; probability density function;
fLanguage
English
Journal_Title
Lightwave Technology, Journal of
Publisher
ieee
ISSN
0733-8724
Type
jour
DOI
10.1109/JLT.2008.917774
Filename
4488226
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