Experimental Validation of Spectral Sensing Models for Identification of Signals by Means of Artificial Intelligence

被引：0

作者：

Fokin, G.A. ^{[1
]}

Volgushev, D.B. ^{[1
]}

机构：

[1] Bonch-Bruevich Saint Petersburg State University of Telecommunications, pr. Bol’shevikov 22, St Petersburg

来源：

Russian Aeronautics | 2024年 / 67卷 / 04期

关键词：

artificial intelligence; LTE signals identification; software-defined radio; spectral sensing;

D O I：

10.3103/S1068799824040287

中图分类号：

学科分类号：

摘要：

Abstract: The paper is devoted to experimental validation of spectral sensing models for determining the information on the structure of a target signal by a cognitive radio receiver based on a neural network approach. The operating procedure of the LTE signal capture and marking models is described when scanning the radio airwaves using the hardware of a software defined radio board and software tools of the MATLAB environment. Deep learning models of a neural network of semantic segmentation of spectrogram images are used to identify the LTE signals. © Allerton Press, Inc. 2024.

引用

页码：995 / 1010

页数：15

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