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Spectrum Sensing Using Matched Filter Detection

  • Suresh Dannana
  • Babji Prasad Chapa
  • Gottapu Sasibhushana Rao
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 695)

Abstract

Increasing use of wireless applications is putting a pressure on licensed spectrum which is insufficient and expensive. Indeed, because of allocation of fixed spectrum, more portion of spectrum is underutilized. Spectrum sensing can be used for efficient use of the radio spectrum. It detects the unused spectrum channels in cognitive radio network. In cognitive radio, spectrum sensing techniques such as energy detection, cyclostationary feature-based spectrum sensing technique, matched filter detection, etc., have been used. When user information is available, matched filter-based sensing gives better performance. In this paper, the probability of detection (PD) and probability of false alarm (PFA) at different SNR levels are observed. Matched filter detection performance depends on threshold value to detect the primary user. At 25 dB SNR, better probability of detection is observed for a given PFAs.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Suresh Dannana
    • 1
  • Babji Prasad Chapa
    • 1
  • Gottapu Sasibhushana Rao
    • 1
  1. 1.Department of Electronics and Communication EngineeringA.U.C.E (A), Andhra UniversityVisakhapatnamIndia

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