IIUM Repository

All-incoherent wavelength conversion in highly nonlinear fiber using four wave mixing

Kharraz, Osayd M. and Ahmad, Harith and Forsyth, David I. and Dernaika, Mohamad and Zulkifli, Mohd Zamani and Ismail, Mohd Faizal B. and Mohammad, Abu Bakar B. (2014) All-incoherent wavelength conversion in highly nonlinear fiber using four wave mixing. Optical Engineering, 53 (9). pp. 1-4. ISSN 0091-3286 E-ISSN 1560-2303

[img] PDF - Published Version
Restricted to Repository staff only

Download (492kB) | Request a copy


This work describes efficient and polarization insensitive, all-incoherent four-wave mixing wavelength conversion achieved within a short length of highly nonlinear fiber medium, created by using both spectrally sliced pump and probe channels from a single-amplified spontaneous emission source coupled to two narrowband Fiber Bragg grating (FBG) filters. This simple and cost-effective scheme is capable of generating a downconverted probe channel across a 17.2-nm wavelength span, while still maintaining a high conversion efficiency of around −22 dB and an optical-signal-to-noise ratio of ∼21 dB. The effects of pump power, FBG detuning, and polarization are also reported. © 2014 Society of Photo-Optical Instrumentation Engineers (SPIE) [DOI: 10.1117/1.OE.53.9.096112]

Item Type: Article (Journal)
Additional Information: 8870/84293
Uncontrolled Keywords: all-optical wavelength conversion; fiber Bragg grating; four-wave mixing; nonlinear fiber; spectrum slicing. Paper 140890 received Jun. 2, 2014; revised manuscript received Aug. 18, 2014; accepted for publication Sep. 3, 2014; published online Sep. 22, 2014.
Subjects: Q Science > QC Physics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Science
Kulliyyah of Science > Department of Physics
Depositing User: Dr M Z Zulkifli
Date Deposited: 11 Nov 2020 10:55
Last Modified: 11 Nov 2020 10:56
URI: http://irep.iium.edu.my/id/eprint/84293

Actions (login required)

View Item View Item


Downloads per month over past year