UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

On the Impact of Fixed Point Hardware for Optical Fiber Nonlinearity Compensation Algorithms

Sherborne, T; Banks, B; Semrau, D; Killey, RI; Bayvel, P; Lavery, D; (2018) On the Impact of Fixed Point Hardware for Optical Fiber Nonlinearity Compensation Algorithms. Journal of Lightwave Technology , 36 (20) pp. 5016-5022. 10.1109/JLT.2018.2868115. Green open access

[thumbnail of FINAL VERSION.PDF]
Preview
Text
FINAL VERSION.PDF - Accepted Version

Download (280kB) | Preview

Abstract

Nonlinearity mitigation using digital signal processing has been shown to increase the achievable data rates of optical fiber transmission links. One especially effective technique is digital back propagation (DBP), an algorithm capable of simultaneously compensating for linear and nonlinear channel distortions. The most significant barrier to implementing this technique, however, is its high computational complexity. In order to fully characterize the performance of DBP, there is a need to model the algorithm under the constraint of a fixed hardware complexity which, crucially, would include the bit-depth of the multiplication operation. In this work, DBP and a single nonlinear step DBP implementation, the Enhanced Split Step Fourier method (ESSFM), are compared with linear equalization using a generic software model of fixed point hardware. The requirements of bit depth and fast Fourier transform (FFT) size are discussed to examine the optimal operating regimes for these two schemes of digital nonlinearity compensation. For a 1000 km transmission system, it was found that (assuming an optimized FFT size), in terms of SNR, the ESSFM algorithm outperformed the conventional DBP for all hardware resolutions up to 13 bits.

Type: Article
Title: On the Impact of Fixed Point Hardware for Optical Fiber Nonlinearity Compensation Algorithms
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/JLT.2018.2868115
Publisher version: http://dx.doi.org/10.1109/JLT.2018.2868115
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Signal processing algorithms, Hardware, Signal to noise ratio, Complexity theory, Dispersion, Optical fibers, Nonlinear optics
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10058931
Downloads since deposit
104Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item