Spectrum Sensing Framework based on Blind Source Separation for Cognitive Radio Environments
| Autor: | Jorge Andrés Gómez García, Lina María Sepúlveda Cano, Jhon Jair Quiza Montealegre, Camilo Gil Taborda |
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| Předmět: |
Spectrum sensing
lcsh:T Computer science business.industry Real-time computing Cognitive Radio General Medicine lcsh:Technology Independent component analysis Radio spectrum Cognitive radio lcsh:TA1-2040 Blind source separation ICA Channel (broadcasting) SSA lcsh:Engineering (General). Civil engineering (General) Spectrum sharing Telecommunications business Singular spectrum analysis |
| Zdroj: | Redalyc Revista Ingenierías Universidad de Medellín, Vol 15, Iss 29, Pp 129-140 (2016) |
| Popis: | The efficient use of spectrum has become an active research area, due to its scarcity and underutilization. In a spectrum sharing scenario as Cognitive Radio (CR), the vacancy of licensed frequency bands could be detected by a secondary user through spectrum sensing techniques. Usually, this sensing approaches are performed with a priori knowledge of the channel features. In the present work, a blind spectrum sensing approach based on Independent Component Analysis and Singular Spectrum Analysis is proposed. The approach is tested and compared with other outcomes. Results show that the proposed scheme is capable of detect most of the sources with low time consumption, which is a remarkable aspect for online applications with demanding time issues. |
| Databáze: | OpenAIRE |
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