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.
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Acknowledgment
This work was supported by the National Natural Science Foundation of China (61227801), the National Key Technology R&D Program of China (2014ZX03001027-003).
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, S., Feng, Z., Zhang, Y., Huang, S., Bao, D. (2016). A Novel Sequential Phase Difference Detection Method for Spectrum Sensing. In: Noguet, D., Moessner, K., Palicot, J. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-319-40352-6_22
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DOI: https://doi.org/10.1007/978-3-319-40352-6_22
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