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Superimposed Training Combined Approach for a Reduced Phase of Spectrum Sensing in Cognitive Radio
This paper presents an approach to exploit the superimposed training (ST)-based primary users’ (PUs) transmissions in the context of spectrum sensing for cognitive radio. In the low signal-to-noise ratio (SNR), the proposed scheme splits the spectrum sensing phase into two sample processing periods,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604072/ https://www.ncbi.nlm.nih.gov/pubmed/31141882 http://dx.doi.org/10.3390/s19112425 |