Research Article
A Novel Sequential Phase Difference Detection Method for Spectrum Sensing
@INPROCEEDINGS{10.1007/978-3-319-40352-6_22, author={Shaojie Liu and Zhiyong Feng and Yifan Zhang and Sai Huang and Dazhi Bao}, title={A Novel Sequential Phase Difference Detection Method for Spectrum Sensing}, proceedings={Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings}, proceedings_a={CROWNCOM}, year={2016}, month={6}, keywords={Cognitive radio Spectrum sensing Phase difference Sequential detection Gaussian noise}, doi={10.1007/978-3-319-40352-6_22} }- Shaojie Liu
Zhiyong Feng
Yifan Zhang
Sai Huang
Dazhi Bao
Year: 2016
A Novel Sequential Phase Difference Detection Method for Spectrum Sensing
CROWNCOM
Springer
DOI: 10.1007/978-3-319-40352-6_22
Abstract
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.
