Core position identification at the optical fibers connection by an autoconvolution method

Alexander Filipenko; Igor Nevludov

doi:10.1117/12.583482

24 September 2004 Core position identification at the optical fibers connection by an autoconvolution method

Alexander Filipenko, Igor Nevludov

Proceedings Volume 5582, Advanced Optoelectronics and Lasers; (2004) https://doi.org/10.1117/12.583482
Event: 2003 Chapter books, 2003, Bellingham, WA, United States

Abstract

The automated control technique of optical fibers positioning for switching fiber-optical component manufacturing is considered. The agreed filtration as an autoconvolution of an optical field distribution, emitted by core at longitudinal illumination or focused by fiber at transversal illumination is used for fiber core axes offset determination. The autoconvolution maximum coordinates correspond to the core center double displacement concerning base coordinates. The technique mathematical thesis, results of a computer simulation modeling and experimental researches on the acting technological equipment are adduced. The offered technique is more effective than traditional methods of a filtration in frequent or space area, as requires a smaller amount of mathematical operations, does not put forward a problem of filter pulse response direct determination and ensures high accuracy parameters.

Citation Download Citation

Alexander Filipenko and Igor Nevludov "Core position identification at the optical fibers connection by an autoconvolution method", Proc. SPIE 5582, Advanced Optoelectronics and Lasers, (24 September 2004); https://doi.org/10.1117/12.583482

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available