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Implementation approaches for 512-tap 60 GSa/s chromatic dispersion FIR filters
Linköping University, Department of Electrical Engineering, Computer Engineering. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Computer Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-3470-3911
Linköping University, Department of Electrical Engineering, Computer Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-5739-3544
2017 (English)In: Conference Record of The Fifty-First Asilomar Conference on Signals, Systems & Computers / [ed] Michael B. Matthews, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 1779-1783Conference paper, Published paper (Refereed)
Abstract [en]

In optical communication the non-ideal properties of the fibers lead to pulse widening from chromatic dispersion. One way to compensate for this is through digital signal processing. In this work, two architectures for compensation are compared. Both are designed for 60 GSa/s and 512 filter taps and implemented in the frequency domain using FFTs. It is shown that the high-speed requirements introduce constraints on possible architectural choices. Furthermore, the theoretical multiplication complexity estimates are not good predictors for the energy consumption. The results show that the implementation with 10% more multiplications per sample has half the power consumption and one third of the area consumption. The best architecture for this specification results in a power consumption of 3.12 W in a 65 nm technology, corresponding to an energy per complex filter tap of 0.10 mW/GHz.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 1779-1783
Series
Signals, Systems, and Computers, E-ISSN 2576-2303 ; 2017
Keywords [en]
Finite impulse response filters, Computer architecture, Complexity theory, Clocks, Chromatic dispersion, Discrete Fourier transforms, Frequency-domain analysis, adaptive filters, compensation, fast Fourier transforms, FIR filters, optical filters
National Category
Signal Processing Communication Systems Embedded Systems
Identifiers
URN: urn:nbn:se:liu:diva-150912DOI: 10.1109/ACSSC.2017.8335667ISI: 000442659900316Scopus ID: 2-s2.0-85050969687ISBN: 978-1-5386-1823-3 (electronic)ISBN: 978-1-5386-0666-7 (electronic)ISBN: 978-1-5386-1824-0 (print)OAI: oai:DiVA.org:liu-150912DiVA, id: diva2:1245365
Conference
The 51st Asilomar Conference on Signals, Systems & Computers, November 6-9, 2016, Pacific Grove, California, USA
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsAvailable from: 2018-09-05 Created: 2018-09-05 Last updated: 2019-06-28Bibliographically approved

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