Abstract
This paper presents a comparative analysis of various linear and nonlinear equalizers for a high density optical channel. Since the read-out process is nonlinear, a suitable model based on the Volterra series has been adopted. We compare the performance and complexity of equalizers designed for linear and nonlinear channels. Specifically, the adaptive minimum mean square error (MSE), adaptive decision feedback equalizer (DFE), nonlinear adaptive Volterra equalizer (NAVE) and nonlinear adaptive decision feedback equalizer (NDFE) are analyzed, along with the maximum likelihood sequence estimator (MLSE), which is considered as a reference. Simulations show that the performance of classical structures (MSE, DFE, MLSE) is significantly reduced by the nonlinear response and that the NAVE and NDFE achieve a performance close to the MLSE, with lower complexity.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
