Blind Signal Detection Using Modern Deep Learning Techniques

This paper explores various applications of modern deep learning techniques in the communication domain to predict the blind modulation technique of great importance to many defence-related critical confidential communications. A CNN-based Detection Technique is proposed to determine the modulation...

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Bibliographic Details
Published in2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) pp. 1 - 5
Main Authors Lotia, Siddharth, Verma, Harsh, Kumar, Saurav
Format Conference Proceeding
LanguageEnglish
Published IEEE 24.06.2024
Subjects
Accuracy
Blind Modulation
Convolutional Neural Network
Convolutional neural networks
Data mining
Data models
Deep learning
Feature extraction
Modulation
Modulation Recognition
Prediction algorithms
Signal detection
Transfer learning
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Summary:This paper explores various applications of modern deep learning techniques in the communication domain to predict the blind modulation technique of great importance to many defence-related critical confidential communications. A CNN-based Detection Technique is proposed to determine the modulation of the blind signals so that information can be extracted from them. Several CNN Models were used in this work. The algorithm achieves the highest accuracy at 93%.
ISSN:2473-7674
DOI:10.1109/ICCCNT61001.2024.10725889