A novel collaborative spectrum sensing scheme based on covariance matrix

  • Authors:

  • Kejun Lei;Xi Yang;Shengliang Peng;Xiuying Cao

  • Affiliations:

  • College of Physics Science and Information Engineering, Jishou University, Jishou, Hunan Province, P.R.China;National Mobile Communication Research Lab., Southeast University, Nanjing, Jiangsu Province, P.R.China and College of Physics Science and Information Engineering, Jishou University, Jishou, Hunan ...;National Mobile Communication Research Lab., Southeast University, Nanjing, Jiangsu Province, P.R.China;National Mobile Communication Research Lab., Southeast University, Nanjing, Jiangsu Province, P.R.China

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

The statistical covariance matrixes of received signal and noise are usually different, thus the distinguishing property can be used to detect whether the primary user exists or not. In this paper, according to the multivariate statistical theory, a collaborative spectrum sensing method based on covariance matrix is introduced. The proposed scheme exhibits better performance than the conventional cooperative scheme for correlated signal or correlated noise case, especially for correlated noise case. On the other hand, it approaches to the OR-rule fusion scheme when both signal and noise are independent and identically distributed (i.i.d.). In addition, the decision threshold can be easily obtained through theoretical computing whether the received noise samples at cognitive users are correlated or not. Simulations based on various types of received signals are given to verify the method.