Abstract
Spectrum sensing is a significant part of technique in a cognitive radio that detecting the presence of primary users in an authorized spectrum. the method that based on the statistical covariance matrix is one of main spectrum sensing techniques, using the difference of statistical covariance between the received signal and noise. In this paper, the new sensing method we proposed is also based on the statistical covariance. The new method compare to some traditional covariance algorithms has decrease the complexity of algorithm, at the same time, ensured the accuracy of detection. We give the statistics of detection, and we also find the threshold of the method when the probability of false alarm is given. The analysis and derivation process of threshold are provided in behind. Using Matlab for simulation to validate the correctness of the method and making the comparison with some typical detection method.
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References
Jacob, P., Sirigina, R.P., Madhukumar, A.S.: Cognitive radio for aeronautical communications: a survey. IEEE Access 4, 3417–3443 (2016)
Sun, S., Chen, N., Ran, T., Xiao, J., Tian, T.: A Stackelberg game spectrum sharing scheme in cognitive radio-based heterogeneous wireless sensor networks. Signal Process. 126, 18–26 (2016)
Qian, C., Qian, H., Gao, F.: Spectrum sensing and SNR walls when primary user has multiple power levels. In: IEEE/CIC International Conference on Communications in China, pp. 1–6. IEEE (2015)
Choi, K.W.: Adaptive sensing technique to maximize spectrum utilization in cognitive radio. IEEE Trans. Veh. Technol. 59(2), 992–998 (2010)
Hattab, G., Ibnkahla, M.: Multiband spectrum access: great promises for future cognitive radio networks. Proc. IEEE 102(3), 282–306 (2014)
Zeng, Y., Liang, Y.C.: Spectrum-sensing algorithms for cognitive radio based on statistical covariances. IEEE Trans. Veh. Technol. 58(4), 1804–1815 (2009)
Guo, C., Chen, S., Liu, F.: Polarization-based spectrum sensing algorithms for cognitive radios: upper and practical bounds and experimental assessment. IEEE Trans. Veh. Technol. 65(10), 8072–8086 (2016)
Acknowledgement
This works thanks to the project 61471066 supported by NSFC.
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Sun, Z., Jing, X., Li, J. (2018). A New Method of Spectrum Sensing in Cognitive Radio Based on Statistical Covariance Matrix. In: Sun, S., Chen, N., Tian, T. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2017. Lecture Notes in Electrical Engineering, vol 473. Springer, Singapore. https://doi.org/10.1007/978-981-10-7521-6_9
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DOI: https://doi.org/10.1007/978-981-10-7521-6_9
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