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Spectrum Sensing and Channel Estimation in Cognitive Radio

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  • معلومة اضافية
    • Contributors:
      Arab Academy for Science, Technology and Maritime Transport Alexandria (AASTMT); Lab-STICC_UBO_CACS_COM; Institut Brestois du Numérique et des Mathématiques (IBNM); Université de Brest (UBO)-Université de Brest (UBO)-Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC); École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique); Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique); Institut Mines-Télécom Paris (IMT); Lab-STICC_ENSTAB_CACS_COM; Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC); Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique); Pôle STIC_IDM; École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne); Arab Academy for Science, and Technology and Maritime Transport
    • بيانات النشر:
      HAL CCSD
    • الموضوع:
      2017
    • Collection:
      Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
    • الموضوع:
    • نبذة مختصرة :
      International audience ; The detection of signal presence is a crucial job carried out through spectrum sensing in cognitive radio systems. A tradeoff between detection accuracy and detector complexity is tackled often in researches. Amongst different spectrum sensing techniques, conventional energy detection is widely used due to its simplicity of implementation, however, it is sensitivity to noise variation makes it unreliable in low signal-to-noise-ratio environments. This manuscript proposes the use of scattering-based detector for spectrum sensing in the context of cognitive radio to provide reliable signal detection. Through scattering transform, signal features are enhanced whereas noise variations effects are reduced which enhances the detection results. The proposed detector is tested for chirp and spread spectrum signals in additive white Gaussian noise channel. Performance evaluation is conducted through calculation of detection probability for several signal-to-noise ratio values. Through MonteCarlo simulations, the proposed detector proves reliability of detection as compared to energy detection which provides false detection decision when noise only considered for detection.
    • Relation:
      hal-01707087; https://hal.archives-ouvertes.fr/hal-01707087; https://hal.archives-ouvertes.fr/hal-01707087/document; https://hal.archives-ouvertes.fr/hal-01707087/file/Moawad_Spectrum%20sensing%20by%20scattering%20operators%20in%20cognitive%20radio_IcaTAS_2017.pdf
    • الدخول الالكتروني :
      https://hal.archives-ouvertes.fr/hal-01707087
      https://hal.archives-ouvertes.fr/hal-01707087/document
      https://hal.archives-ouvertes.fr/hal-01707087/file/Moawad_Spectrum%20sensing%20by%20scattering%20operators%20in%20cognitive%20radio_IcaTAS_2017.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.ED6C1059