Spectrum sensing based on covariance matrix under noise uncertainty

Yang Xi; Peng Shengliang; Lei Kejun; Cao Xiuying

doi:10.1109/WICOM.2009.5304800

Spectrum sensing based on covariance matrix under noise uncertainty

Yang Xi^*
, Peng Shengliang
, Lei Kejun
, Cao Xiuying

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Energy detection based collaborative spectrum sensing algorithm is recently studied widely for primary signals detection in cognitive radio. However, one major disadvantage of those detectors is that their performance degrades in the presence of noise uncertainty which is inevitable in practical system. In this paper, we introduce a novel statistical covariance matrix based collaborative spectrum sensing algorithm which, confirmed by simulations, can perform better than traditional energy fusion algorithm when noise uncertainty exists. In addition, the decision threshold can be easily obtained through theoretical computing whether the received noise samples at cognitive users are correlated or not.

Original language	English
Title of host publication	Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009
DOIs	https://doi.org/10.1109/WICOM.2009.5304800
State	Published - 2009
Externally published	Yes
Event	5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009 - Beijing, China Duration: 24 Sep 2009 → 26 Sep 2009

Publication series

Name	Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009

Conference

Conference	5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009
Country/Territory	China
City	Beijing
Period	24/09/09 → 26/09/09

Keywords

Collaborative spectrum sensing
Covariance matrix
Generalized likelihood ratio test (GLRT)
Noise uncertainty

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10.1109/WICOM.2009.5304800

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Xi, Y., Shengliang, P., Kejun, L., & Xiuying, C. (2009). Spectrum sensing based on covariance matrix under noise uncertainty. In Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009 Article 5304800 (Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009). https://doi.org/10.1109/WICOM.2009.5304800

@inproceedings{888b46da37144ee695bcfc664b5b08db,

title = "Spectrum sensing based on covariance matrix under noise uncertainty",

abstract = "Energy detection based collaborative spectrum sensing algorithm is recently studied widely for primary signals detection in cognitive radio. However, one major disadvantage of those detectors is that their performance degrades in the presence of noise uncertainty which is inevitable in practical system. In this paper, we introduce a novel statistical covariance matrix based collaborative spectrum sensing algorithm which, confirmed by simulations, can perform better than traditional energy fusion algorithm when noise uncertainty exists. In addition, the decision threshold can be easily obtained through theoretical computing whether the received noise samples at cognitive users are correlated or not.",

keywords = "Collaborative spectrum sensing, Covariance matrix, Generalized likelihood ratio test (GLRT), Noise uncertainty",

author = "Yang Xi and Peng Shengliang and Lei Kejun and Cao Xiuying",

year = "2009",

doi = "10.1109/WICOM.2009.5304800",

language = "英语",

isbn = "9781424436934",

series = "Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009",

booktitle = "Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009",

note = "5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009 ; Conference date: 24-09-2009 Through 26-09-2009",

}

Xi, Y, Shengliang, P, Kejun, L & Xiuying, C 2009, Spectrum sensing based on covariance matrix under noise uncertainty. in Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009., 5304800, Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009, 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009, Beijing, China, 24/09/09. https://doi.org/10.1109/WICOM.2009.5304800

Spectrum sensing based on covariance matrix under noise uncertainty. / Xi, Yang; Shengliang, Peng; Kejun, Lei et al.
Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009. 2009. 5304800 (Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Spectrum sensing based on covariance matrix under noise uncertainty

AU - Xi, Yang

AU - Shengliang, Peng

AU - Kejun, Lei

AU - Xiuying, Cao

PY - 2009

Y1 - 2009

N2 - Energy detection based collaborative spectrum sensing algorithm is recently studied widely for primary signals detection in cognitive radio. However, one major disadvantage of those detectors is that their performance degrades in the presence of noise uncertainty which is inevitable in practical system. In this paper, we introduce a novel statistical covariance matrix based collaborative spectrum sensing algorithm which, confirmed by simulations, can perform better than traditional energy fusion algorithm when noise uncertainty exists. In addition, the decision threshold can be easily obtained through theoretical computing whether the received noise samples at cognitive users are correlated or not.

AB - Energy detection based collaborative spectrum sensing algorithm is recently studied widely for primary signals detection in cognitive radio. However, one major disadvantage of those detectors is that their performance degrades in the presence of noise uncertainty which is inevitable in practical system. In this paper, we introduce a novel statistical covariance matrix based collaborative spectrum sensing algorithm which, confirmed by simulations, can perform better than traditional energy fusion algorithm when noise uncertainty exists. In addition, the decision threshold can be easily obtained through theoretical computing whether the received noise samples at cognitive users are correlated or not.

KW - Collaborative spectrum sensing

KW - Covariance matrix

KW - Generalized likelihood ratio test (GLRT)

KW - Noise uncertainty

UR - https://www.scopus.com/pages/publications/73149114856

U2 - 10.1109/WICOM.2009.5304800

DO - 10.1109/WICOM.2009.5304800

M3 - 会议稿件

AN - SCOPUS:73149114856

SN - 9781424436934

T3 - Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009

BT - Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009

T2 - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009

Y2 - 24 September 2009 through 26 September 2009

ER -

Xi Y, Shengliang P, Kejun L, Xiuying C. Spectrum sensing based on covariance matrix under noise uncertainty. In Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009. 2009. 5304800. (Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009). doi: 10.1109/WICOM.2009.5304800

Spectrum sensing based on covariance matrix under noise uncertainty

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