Abstract:
We propose a novel equalization algorithm for high order and shaped M-QAM. Our blind RDE utilizes conditional filter updates based on the assignment likelihood of amplitu...Show MoreMetadata
Abstract:
We propose a novel equalization algorithm for high order and shaped M-QAM. Our blind RDE utilizes conditional filter updates based on the assignment likelihood of amplitude levels. Compared to traditional RDE we demonstrate a convergence rate of > 99% for up to 93% higher DGD.
Date of Conference: 06-10 December 2020
Date Added to IEEE Xplore: 04 February 2021
ISBN Information: