Earticle

초록

영어

Spectrum sensing is a key functionalities of Cognitive radio networks (CRN). There are several methods to improve sensing techniques. In this paper, we present a robust detector using signal to noise ratio (SNR) with adaptive threshold (ADT) scheme in Cognitive Radio Networks (CRN). This technique has two detectors, energy detector (ED)&EDwithADT detector, out of these two detectors only one will perform sensing operation at a time. Selection of detector depends on condition between estimated SNR value (Se) and threshold (γ). Numerical results show that proposed ESNR_ADT scheme optimizes detection performance and outperforms the cyclostationary based sensing method and adaptive spectrum sensing (SS) by 30.5 % and 30 % at – 10 dB signal to noise ratio (SNR) respectively. It is also shown that the proposed scheme yields lesser sensing time than cyclostationary detection and adaptive SS scheme in the order of 5.2 ms and 1.0 ms at - 20 dB SNR respectively.

목차

Abstract
 1. Introduction
 2. System Description
  A. Estimated Signal to Noise Ratio
  B. Adaptive Threshold Scheme for Spectrum Sensing (ADT)
 3. Proposed System Model
  A. Proposed ESNR_ADT Spectrum Sensing Scheme
 4.Numerical Results And Analysis
 5. Conclusion
 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 and THDC –IHET Tehri ]
• ASHRAF SAMARA [ Department of Electrical Engineering ]

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