A novel sequential phase difference detection method for spectrum sensing

作者：Liu Shaojie^*; Feng Zhiyong; Zhang Yifan; Huang Sai; Bao Dazhi

来源：11th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2016, 2016-05-30 to 2016-06-01.

DOI：10.1007/978-3-319-40352-6_22

• Acceptable performance
• Cognitive radio network
• Efficiency improvement
• Phase difference
• Phase difference detections
• Sequential detection
• Spectrum sensing
• Variable sample size

As traditional spectrum sensing approaches in cognitive radio network unable to deal with the contradiction between accuracy and complexity, a novel sequential spectrum detection based on phase difference (SPDD) is proposed in this paper to achieve good performance with less complexity. The variance of phase difference of signal is utilized as the statistics to detect the signal under a realistic Rayleigh fading channel. Moreover, a variable sample size of proposed algorithm is conducted to minimize the complexity while maintained an acceptable performance. Simulation shows that our SPDD method yields about 2 dB gain over the conventional sequential energy detection. In addition, when the cutoff sample number is set to 1000, a substantial efficiency improvement is obtained compared to the fixed sample detection scheme.

• 出版日期2016
• 单位北京大学