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Polarization Domain Spectrum Sensing Algorithm Based on AlexNet
In this paper, we propose a spectrum sensing algorithm based on the Jones vector covariance matrix (JCM) and AlexNet model, i.e., the JCM-AlexNet algorithm, by taking advantage of the different state characteristics of the signal and noise in the polarization domain. We use the AlexNet model, which...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698207/ https://www.ncbi.nlm.nih.gov/pubmed/36433545 http://dx.doi.org/10.3390/s22228946 |
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author | Ren, Shiyu Wu, Hailong Chen, Wantong Li, Dongxia |
author_facet | Ren, Shiyu Wu, Hailong Chen, Wantong Li, Dongxia |
author_sort | Ren, Shiyu |
collection | PubMed |
description | In this paper, we propose a spectrum sensing algorithm based on the Jones vector covariance matrix (JCM) and AlexNet model, i.e., the JCM-AlexNet algorithm, by taking advantage of the different state characteristics of the signal and noise in the polarization domain. We use the AlexNet model, which is good at extracting matrix features, as the classification model and use the Jones vector, which characterizes the polarization state, to calculate its covariance matrix and convert it into an image and then use it as the input to the AlexNet model. Then, we calculate the likelihood ratio test statistic (AlexNet-LRT) based on the output of the model to achieve the classification of the signal and noise. The simulation analysis shows that the JCM-AlexNet algorithm performs better than the conventional polarization detection (PSD) algorithm and the other three (LeNet5, long short-term memory (LSTM), multilayer perceptron (MLP)) excellent deep-learning-based spectrum sensing algorithms for different signal-to-noise ratios and different false alarm probabilities. |
format | Online Article Text |
id | pubmed-9698207 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96982072022-11-26 Polarization Domain Spectrum Sensing Algorithm Based on AlexNet Ren, Shiyu Wu, Hailong Chen, Wantong Li, Dongxia Sensors (Basel) Article In this paper, we propose a spectrum sensing algorithm based on the Jones vector covariance matrix (JCM) and AlexNet model, i.e., the JCM-AlexNet algorithm, by taking advantage of the different state characteristics of the signal and noise in the polarization domain. We use the AlexNet model, which is good at extracting matrix features, as the classification model and use the Jones vector, which characterizes the polarization state, to calculate its covariance matrix and convert it into an image and then use it as the input to the AlexNet model. Then, we calculate the likelihood ratio test statistic (AlexNet-LRT) based on the output of the model to achieve the classification of the signal and noise. The simulation analysis shows that the JCM-AlexNet algorithm performs better than the conventional polarization detection (PSD) algorithm and the other three (LeNet5, long short-term memory (LSTM), multilayer perceptron (MLP)) excellent deep-learning-based spectrum sensing algorithms for different signal-to-noise ratios and different false alarm probabilities. MDPI 2022-11-18 /pmc/articles/PMC9698207/ /pubmed/36433545 http://dx.doi.org/10.3390/s22228946 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ren, Shiyu Wu, Hailong Chen, Wantong Li, Dongxia Polarization Domain Spectrum Sensing Algorithm Based on AlexNet |
title | Polarization Domain Spectrum Sensing Algorithm Based on AlexNet |
title_full | Polarization Domain Spectrum Sensing Algorithm Based on AlexNet |
title_fullStr | Polarization Domain Spectrum Sensing Algorithm Based on AlexNet |
title_full_unstemmed | Polarization Domain Spectrum Sensing Algorithm Based on AlexNet |
title_short | Polarization Domain Spectrum Sensing Algorithm Based on AlexNet |
title_sort | polarization domain spectrum sensing algorithm based on alexnet |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698207/ https://www.ncbi.nlm.nih.gov/pubmed/36433545 http://dx.doi.org/10.3390/s22228946 |
work_keys_str_mv | AT renshiyu polarizationdomainspectrumsensingalgorithmbasedonalexnet AT wuhailong polarizationdomainspectrumsensingalgorithmbasedonalexnet AT chenwantong polarizationdomainspectrumsensingalgorithmbasedonalexnet AT lidongxia polarizationdomainspectrumsensingalgorithmbasedonalexnet |