Signal Detection Based on Walsh Transform for Spectrum Sensing

• 作者: Guangliang Ren Guoxiang Yang Kun Wu
• 来源期刊: 通讯与网络(英文)
• 学科: 工学
• 关键词: COGNITIVE Radio WALSH TRANSFORMATION FEATURE DETECTOR Low SNR
• 年，卷（期）: 2013,（3）
• 页码范围: 386-389
• 页数: 4页
• 分类号: TN91

摘要

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.