Robust equalizer in optical fiber systems under parameter uncertainty

Kyungsup Kim; Jinho Bae; Joohwan Chun

doi:10.1117/12.414115

2 February 2001 Robust equalizer in optical fiber systems under parameter uncertainty

Kyungsup Kim, Jinho Bae, Joohwan Chun

Proceedings Volume 4216, Optical Devices for Fiber Communication II; (2001) https://doi.org/10.1117/12.414115
Event: Information Technologies 2000, 2000, Boston, MA, United States

Abstract

An H^(infinity )-optimized equalizer is presented to realize an optimal causal and stable equalizer in optical fiber systems. With an ordinary (non-adaptive) equalizer, uncertainty due to the length of an optical fiber, the number of users and temperature may cause degradation to the system performance. The proposed non-adaptive equalizer still gives satisfactory performance because it uses the H^(infinity )-criterion, i.e., it is designed to cope with the worst-case. Our algorithm is robust while the channel characteristics and the statistics of input and external noise are uncertain with a bound. Moreover, while the conventional H^(infinity ) approach is to minimize the peak error gain over the entire frequency range, we propose a modified H^(infinity ) equalizer to focus on the limited used frequency region by using a weight function.

Citation Download Citation

Kyungsup Kim, Jinho Bae, and Joohwan Chun "Robust equalizer in optical fiber systems under parameter uncertainty", Proc. SPIE 4216, Optical Devices for Fiber Communication II, (2 February 2001); https://doi.org/10.1117/12.414115

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