3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Statistical Test Based on Finding the Optimum Lag in Cyclic Autocorrelation for Detecting Free Bands in Cognitive Radios

  • @INPROCEEDINGS{10.1109/CROWNCOM.2008.4562528,
        author={Hao Feng and Yanbo Wang and Shi-ju Li},
        title={Statistical Test Based on Finding the Optimum Lag in Cyclic Autocorrelation for Detecting Free Bands in Cognitive Radios},
        proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2008},
        month={7},
        keywords={cognitive radio; cyclic autocorrelation; optimum lag; statistical test},
        doi={10.1109/CROWNCOM.2008.4562528}
    }
    
  • Hao Feng
    Yanbo Wang
    Shi-ju Li
    Year: 2008
    Statistical Test Based on Finding the Optimum Lag in Cyclic Autocorrelation for Detecting Free Bands in Cognitive Radios
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2008.4562528
Hao Feng1,*, Yanbo Wang1,*, Shi-ju Li1,*
  • 1: Institute of Information and Communication Engineering Zhejiang Univ., Hang Zhou, 310027, China
*Contact email: fenghao666@hotmail.com, happyper@hotmail.com, Leesj@cise.zju.edu.cn

Abstract

Cognitive radios sense the radio spectrum in order to find free bands for transmission. In this paper, a novel method is proposed for detecting free bands by exploiting a statistical test based on finding the optimum lag in cyclic autocorrelation of primary user signals within the framework of cyclostationarity theory. This approach has a satisfying detecting performance under low SNR conditions and is computational efficient. Meanwhile, due to signals’ cyclostationarity, the method also has a good anti-interference property which can be utilized to detect the primary user signals in the presence of interference. Finally, simulations are performed to verify those properties of the proposed method.