A new approach to experimentally characterize the transverse modes of optical fibers is proposed in this submission. It analyzes a large volume of electric field data captured from the fiber under test and obtains the orthogonal modal base set of the fiber using the singular value decomposition. This procedure is similar to the principle of machine learning in the area of artificial intelligence. The results show a good agreement with the simulated transverse modes. Due to its operating principle, this approach can characterize any fiber regardless of its length and size.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.