Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2013, Vol. 36 ›› Issue (6): 108-112.doi: 10.13190/j.jbupt.2013.06.023

• Reports • Previous Articles    

The Algorithm about Secondary Users Selection and SNR Estimation in Cooperative Spectrum Sensing

ZHOU Yi-ming1,2, ZHOU Zheng1   

  1. 1. Key Laboratory of Universal Wireless Communications Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. Information Engineering College, Beijing Institute of Petrochemical Technology, Beijing 102600, China
  • Received:2013-05-16 Online:2013-12-31 Published:2013-10-08

Abstract:

An algorithm was proposed, which can choose secondary users and estimate signal to noise ratio (SNR) in order to improve the accuracy of cooperative spectrum sensing. The algorithm constructs a correlation matrix by means of the related characteristics of the signals of secondary users. According to the properties of matrix elements, some parameters of channels, e.g. ratio of channels gain, SNR and variance of noise were estimated. The realization of the algorithm was only based on the sampled signals of secondary users without any prior knowledge of primary users. The number of secondary users must be greater than three in cooperative spectrum sensing network. Simulations testify the effects of the algorithm about SNR and the ratio of channel gain.

Key words: cognitive radios, cooperative spectrum sensing, correlation matrix, signal to noise ratio estimation, ratio of channels gain

CLC Number: