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Bernhard Spinnler
Researcher at Nokia Networks
Publications - 183
Citations - 3600
Bernhard Spinnler is an academic researcher from Nokia Networks. The author has contributed to research in topics: Quadrature amplitude modulation & Wavelength-division multiplexing. The author has an hindex of 27, co-authored 183 publications receiving 3141 citations. Previous affiliations of Bernhard Spinnler include Siemens.
Papers
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Patent
Data-aided chromatic dispersion estimation
TL;DR: In this paper, different settings are applied to an equalizer to generate a plurality of equalized signals from at least one of the received frames, and the setting of the equalizer corresponding to the equalized signal providing the highest final correlation value is selected to provide the chromatic dispersion estimation.
Journal ArticleDOI
12-mode OFDM transmission using reduced-complexity maximum likelihood detection
Adriana Lobato,Yingkan Chen,Yongmin Jung,Haoshuo Chen,Beril Inan,Maxim Kuschnerov,Nicolas K. Fontaine,Roland Ryf,Bernhard Spinnler,Berthold Lankl +9 more
TL;DR: A low-complexity maximum likelihood detector is employed to enhance the performance of a system impaired by mode-dependent loss.
Proceedings ArticleDOI
A digital subcarrier multiplexing technique for increased spectral efficiency in optical systems using direct detection
TL;DR: A novel technique that allows direct detection of multicarrier signals without using DSP at the receiver is proposed and performance at 55.5 Gb/s, back-to-back and after 1040 km of dispersion uncompensated link is assessed.
Journal ArticleDOI
Adaptive Transmitter Pre-Distortion Using Feedback From the Far-End Receiver
TL;DR: A digital pre-distortion architecture to compensate transmitter frequency response and I/Q skew is presented, which relies upon a feedback from the far-end receiver and uses the signal propagated over the optical link.
Patent
Method and system for clock recovery with adaptive loop gain control
TL;DR: In this article, a method for phase recovery in a system that includes a clock recovery unit and an estimation unit is presented, where the estimation unit and the recovery unit are configured to operate in parallel.