1 / 6

Equalization Strategies for 10-Gb/s Transmission over Multimode Fibre

Equalization Strategies for 10-Gb/s Transmission over Multimode Fibre. Bertram Leesti Ph.D. Candidate Department of Electrical and Computer Engineering June 24, 2005. Motivation. Interest in using installed multimode fibre at 10 Gb/s

talisa
Download Presentation

Equalization Strategies for 10-Gb/s Transmission over Multimode Fibre

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Equalization Strategies for 10-Gb/s Transmission over Multimode Fibre Bertram Leesti Ph.D. Candidate Department of Electrical and Computer Engineering June 24, 2005

  2. Motivation • Interest in using installed multimode fibre at 10 Gb/s • Problem: modal dispersion causes severe intersymbol interference (ISI)  Requires adaptive equalization!

  3. Feedforward Equalization • Can be implemented in continuous-time or discrete-time • At multi-Gb/s speeds, continuous-time implementation popular (less power) • Problem with FFE: noise enhancement

  4. Decision-Feedback Equalization • Less noise enhancement than FFE alone since decisions are noise-free • Error propagation can occur • Delay through feedback path limits speed, so look-ahead architecture often used

  5. Max. Likelihood Sequence Detection • Problem with DFE: by canceling ISI, some signal energy is lost • MLSD: • Uses ISI to determine the most likely sequence of bits • Computes metrics for different sequences, and chooses sequence with minimum metric • Complexity grows exponentially with length of channel impulse response • FFE followed by MLSD: • FFE equalizes to a simple response (e.g., 1+D) • MLSD complexity is minimized

  6. Performance Comparison • For this example: • DFE is 1 dB better than FFE • FFE + MLSD is 1.2 dB better than DFE • MLSD is 0.7 dB better than FFE + MLSD • Future work: • Timing recovery • Implementation Fibre impulse responses obtained at http://www.ieee802.org/3/aq/

More Related