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 Full text
Abstract: The paper considers the applicability of machine learning models and methods in spectral probing to increase the speed of scanning and analyzing LTE signals. It describes the operating procedure of the software module for scanning LTE signals using the spectral probing algorithm in a wide frequency range. Methods. The research method is a full-scale experiment using software-defined radio boards. The result of scanning and analysis is the detection of signals from LTE base stations operating on transmission in a given area. The efficiency of detecting base stations is estimated by classifying spectrum range using machine learning methods. Practical relevance. The combination of a software module for panoramic scanning in a wide range and a software module for analyzing in the information frequency band allows to significantly reduce the detection time of LTE base stations in a given area.
Keywords: spectral probing, LTE standard, software-defined radio, machine learning.
Reference for citation
Tsap V., Fokin G. SDR-Based LTE Signal Analyzer with Panoramic Scanning Module Based on Machine Learning Methods // Telecom IT. 2025. Vol. 13. Iss. 1. PP. 14‒22 (in Russian). DOI: 10.31854/2307-1303-2025-13-1-14-22. EDN: XYAPHF
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V. Tsap,