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Statistical Test based Comparison of Spectrum Sensing Techniques in Cognitive Radio Network

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJHIT) 바로가기
  • 간행물
    International Journal of Hybrid Information Technology 바로가기
  • 통권
    Vol.7 No.5 (2014.09)바로가기
  • 페이지
    pp.295-304
  • 저자
    Munpreet Kaur Raina, Gagangeet Singh Aujla
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A231755

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원문정보

초록

영어
Cognitive radio is an intelligent wireless technology that increases the spectrum efficiency for its usage. CR enriches wireless technology by utilizing the spectrum holes in order to provide high order quality service to users and to minimize the interference that occurs in the network. In the proposed work, two Spectrum Sensing techniques for Cognitive radio network are used which include Cyclostationary detection and Energy detection techniques. The detection of Cyclostationary signal is not a new term but there is a lot of work to be done in this field. In this paper, the parameter used for Cyclostationary signal is Spectral Correlation function. The detection capability of SCF with different windows is used to check the periodicity of the signal using different windows. Due to the periodicity of the baseband signal, SCF would be able to detect the primary user signal at very low SNR. We also analyze in our work that capability of periodicity of the signal of SCF is not only limited to noise affected signal, perhaps it is also able to detect the attenuated signal. We also simulated Energy detector over MIMO fading channel as it models both Rician fading channel and Rayleigh fading channel. The performance is analyzed in terms of Bit error rate by providing low probability of false alarm and high probability of detection. The Statistical test based comparison is made between the two sensing techniques to evaluate the performance in terms of signal to noise ratio. An extensive set of simulations have been conducted in MATLAB in the proposed work.

목차

Abstract
 1. Introduction
 2. Literature Survey
 3. System Model
  3.1. Cyclostationary Detection
  3.2. Energy Detection
  3.3. Why MIMO Fading Channel???
 4. Results and Conclusions
  4.1. Periodogram:
  4.2. Attenuated Signal:
  4.3 Detecting Primary user using SCF passing through Hann Window:
  4.4. Energy Detector:
  4.5 Comparison:
 5. Conclusion
 References

키워드

Cognitive radio Energy Detection Cyclostationary Detection

저자

  • Munpreet Kaur Raina [ Chandigarh Engineering College, Landran, Mohali (Punjab Technical University, Jalandhar) ]
  • Gagangeet Singh Aujla [ Gagangeet Singh Aujla, Chandigarh Engineering College, Landran, Mohali (Punjab Technical University, Jalandhar) ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Hybrid Information Technology
  • 간기
    격월간
  • pISSN
    1738-9968
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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