Work

Limitations of Gaussian Mixture Models for Symbol Detection in Harsh Electromagnetic Environments

Year: 2024

Type: article

Abstract: This letter presents a study on the limitations of Gaussian mixture models (GMMs) for symbol detection in digital communication systems. Although GMMs have proven to be adequate for symbol detection at medium signal-to-interference ratios, the results of this study reveal a critical flaw in the conventional assumption that Gaussian models can accurately represent the received symbol distributions under all circumstances in harsh environments. This statistical approach proves to be inadequate at high levels of electromagnetic (EM) interference, resulting in an inability to accurately differentiate between symbols. The methodology is tested in a triple modular redundant system subjected to reverberant EM disturbances, with diverse PAM-4 as an encoding technique.

Source: IEEE Letters on Electromagnetic Compatibility Practice and Applications

DOI: 10.1109/lemcpa.2024.3504712

Authors: Miriam Gonzalez-Atienza, Dries Vanoost, Mathias Verbeke, Davy Pissoort

Institutions: Flanders Make (Belgium), KU Leuven

Language: English

Topic: Advanced Wireless Communication Techniques

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

Awards: European Training Network on Electromagnetic Risks in Medical Technology, G434337789