Article citationsMore>>

Z. Quan, W. Zhang, S. Shellhammer and A. H. Sayed, “Optimal Spectral Feature Detection for Spectrum Sensing at very Low SNR,” IEEE Transactions Communications, Vol. 59, 2001, pp. 201-212. doi:10.1109/TCOMM.2010.112310.090306

has been cited by the following article:

• TITLE: Signal Detection Based on Walsh Transform for Spectrum Sensing

  AUTHORS: Guoxiang Yang, Guangliang Ren, Kun Wu

  KEYWORDS: Cognitive Radio; Walsh Transformation; Feature Detector; Low SNR

  JOURNAL NAME: Communications and Network, Vol.5 No.3C, November 12, 2013

  ABSTRACT: Spectrum sensing is a key technology to improve spectrum efficiency. In this paper, we propose a novel signal detection method based on Walsh transform for spectrum sensing. The main idea behind is that the received signal is transformed into another domain by Walsh transform and the test statistic is obtained by exploiting the feature of the useful signal in the new domain. The new method can perform well at low signal-to-noise rate (SNR). Simulation results show that the proposed method has better performance than the spectral feature detection based on power spectrum.