Automatická identifikace druhu provozu pro SDR rádio

Abstract

This diploma thesis is written on the topic Radio Modulation Modes Detection for SDR Radio. It fosuces on theoretical and practical analysis of techniques used for classification of radio signal modulations. The main goal of this work is to present and use this techniques within the classification software implementation. The solution is based on statistical analysis, which is peformed by calculation of the signal key features. These characteristics are used as inputs to the artificial neural network which performs the classification process. Success rate of the created model has been tested by performing validation tests with simulated and real data sets.