ELM-based Frame Synchronization in Burst-Mode Communication Systems with Nonlinear Distortion

TL;DR

This paper introduces an ELM-based frame synchronization method for burst-mode communication systems that effectively mitigates nonlinear distortion, enhancing synchronization accuracy and robustness.

Contribution

The paper presents a novel ELM-based synchronization approach that addresses nonlinear distortion in burst-mode systems, improving over existing methods.

Findings

Significantly reduces frame synchronization error probability

Enhances robustness and generalization in synchronization performance

Outperforms existing methods in experimental evaluations

Abstract

In burst-mode communication systems, the quality of frame synchronization (FS) at receivers significantly impacts the overall system performance. To guarantee FS, an extreme learning machine (ELM)-based synchronization method is proposed to overcome the nonlinear distortion caused by nonlinear devices or blocks. In the proposed method, a preprocessing is first performed to capture the coarse features of synchronization metric (SM) by using empirical knowledge. Then, an ELM-based FS network is employed to reduce system's nonlinear distortion and improve SMs. Experimental results indicate that, compared with existing methods, our approach could significantly reduce the error probability of FS while improve the performance in terms of robustness and generalization.