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All-optical electrical chirped pulse generation based on nonlinear wavelength-to-time conversion in a chirped fiber Bragg grating

Armitage, John and Wang, Chao and Yao, Jianping (2007) All-optical electrical chirped pulse generation based on nonlinear wavelength-to-time conversion in a chirped fiber Bragg grating. In: Photonics North 2007. Proceedings of SPIE . SPIE. ISBN 978-0-8194-6962-5. (doi:10.1117/12.779128) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:37126)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1117/12.779128

Abstract

In this paper, we propose and demonstrate a novel approach to optically generating chirped microwave pulse with tunable chirp rate based on spectral shaping and nonlinear wavelength-to-time conversion using a tunable nonlinearly chirped fiber Bragg grating (NL-CFBG). In our approach, the optical power spectrum of a ultrashort pulse from a femtosecond pulsed laser (FSPL) is shaped by a two-tap Sagnac loop filter (SLF) that has a sinusoidal spectral response. The spectrum shaped pulse is then reflected by an appropriately designed NL-CFBG to perform the nonlinear wavelength-to-time mapping. The microwave pulse with a tunable chirp rate is then generated at the output of a high-speed photodector (PD). The NL-CFBG used in the system is produced from a regular linearly chirped fiber Bragg grating (LCFBG) using a new technique based on strain-gradient beam tuning. A simple mathematical model to describe the chirped pulse generation is developed. A proof-of-principle experiment based on the proposed method is carried out.

Item Type: Book section
DOI/Identification number: 10.1117/12.779128
Uncontrolled keywords: fiber Bragg gratings; microwave radiation; dispersion; optical filters; ultrafast phenomena; nonlinear optics; femtosecond phenomena
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 02 Dec 2013 16:06 UTC
Last Modified: 16 Nov 2021 10:13 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/37126 (The current URI for this page, for reference purposes)

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