Earticle

초록

영어

Cognitive radio network is one of the prime solutions of band width crises problem. To resolve band width crises firstly we have to sense primary user (PU) licensed signal. To sense PU signal there are various sensing techniques which have been proposed by researchers, but each of them are having some limitations. In this paper we present a two stage detector for spectrum sensing (SS) in cognitive radio (CR). It comprises of a weighted-energy detector (W-ED) and a correlated-generalized likelihood ratio test (C-GLRT). The first stage detects the energy and then if required, the C-GLRT makes the final decision in second stage. Performance of the proposed two stage detector is compared with the existing energy detector (ED), generalized likelihood ratio test (GLRT), and adaptive spectrum Sensing (ASS) detectors. The numerical results show that proposed sensing technique has better detection performance and require less sensing time.

목차

Abstract
 1. Introduction
 2. System Description
 3. Proposed System Model
 4. Numerical Results And Analysis
 5. Conclusion
 Acknowledgments
 References

키워드

저자

• Ashish Bagwari [ Uttarakhand Technical University, Dehradun, India ]
• Jyotshana Kanti [ Uttarakhand Technical University, Dehradun, India ]
• Geetam Singh Tomar [ Machine Intelligence Research Labs, Gwalior, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605