eprintid: 3829
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/38/29
datestamp: 2023-11-09 15:52:06
lastmod: 2023-11-09 15:52:06
status_changed: 2023-11-09 15:47:43
type: conference_item
metadata_visibility: show
creators_name: Alhassan, A.M.
creators_name: Badruddin, N.
creators_name: Saad, N.M.
creators_name: Aljunid, S.A.
title: Estimating the probability density function of the detected intensity of incoherent light sources via software simulation
ispublished: pub
keywords: Bandwidth; Experiments; Light emitting diodes; Light sources; Optical signal processing; Probability density function, Amplified spontaneous emissions; Electrical bandwidth; Eye diagrams; Incoherent light; Incoherent sources; Intensity noise; Probability density function (pdf); Software simulation, Computer software
note: cited By 0; Conference of 2013 IEEE 11th Malaysia International Conference on Communications, MICC 2013 ; Conference Date: 26 November 2013 Through 28 November 2013; Conference Code:105163
abstract: In this paper we validate through software simulation that a Gamma probability density function (pdf) can give a very good approximation of the detected intensity of the incoherent light source. We performed two experiments, in the first experiment the pdf of 0.25 nm optical signal is measured for different photo detector's electrical bandwidth. In the second experiment the eye diagram reading is performed for the optical signal at 2.5 Gbps. Results show that the simulated pdf and computed pdf agree to very high extent. Results also show that the variance in the received signal for logic '0' is negligible, meanwhile for logic '1' the variance is very large and increases with electrical bandwidth. © 2013 IEEE.
date: 2013
publisher: IEEE Computer Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901263052&doi=10.1109%2fMICC.2013.6805832&partnerID=40&md5=1aa0048610157ac9e610fcc97a516b95
id_number: 10.1109/MICC.2013.6805832
full_text_status: none
publication: 2013 IEEE 11th Malaysia International Conference on Communications, MICC 2013
place_of_pub: Kuala Lumpur
pagerange: 240-243
refereed: TRUE
citation:   Alhassan, A.M. and Badruddin, N. and Saad, N.M. and Aljunid, S.A.  (2013) Estimating the probability density function of the detected intensity of incoherent light sources via software simulation.  In: UNSPECIFIED.