1973
DOI: 10.1002/j.1538-7305.1973.tb01994.x
|View full text |Cite
|
Sign up to set email alerts
|

Receiver Design for Digital Fiber Optic Communication Systems, II

Abstract: This paper applies the results of Part I to specific receivers in order to obtain numerical results. The general explicit formulas for the required optical average power to achieve a desired error rate are summarized. A specific receiver is considered and the optical power requirements solved for. The parameters defining this receiver (e.g., bit rate, bias resistance, dark current, etc.) are then varied, and the effects on the required optical power are plotted.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
77
0
1

Year Published

1976
1976
2015
2015

Publication Types

Select...
7
3

Relationship

0
10

Authors

Journals

citations
Cited by 90 publications
(78 citation statements)
references
References 0 publications
0
77
0
1
Order By: Relevance
“…The Q-Factor is extracted from the eye diagram measurements following the definition given by Personick 32 : Q ¼ s1 À s0 s1 þ s0 . Where s 1 and s 0 are the signal amplitude mean values for a 1 and a 0 respectively, and s 1 and s 0 the associated standard deviation.…”
Section: Methodsmentioning
confidence: 99%
“…The Q-Factor is extracted from the eye diagram measurements following the definition given by Personick 32 : Q ¼ s1 À s0 s1 þ s0 . Where s 1 and s 0 are the signal amplitude mean values for a 1 and a 0 respectively, and s 1 and s 0 the associated standard deviation.…”
Section: Methodsmentioning
confidence: 99%
“…The significant increase in the channel bandwidth enables our proposed systems to operate at higher data rates using a simple modulation technique, OOK [55]. Personick's analysis shows that the optimum receiver bandwidth is 0.7 times the bit rate [56]. For example, a 10 Gbps data rate requires a 7 GHz overall (channel and system chain) bandwidth.…”
Section: Db Channel Bandwidthmentioning
confidence: 99%
“…Following the analysis of Smith and Personick [29], [30] , the thermal noise variance is given as [11]   …”
Section: Total Noise Modelmentioning
confidence: 99%