Abstract
Spectrum sensing technology is implemented in cognitive radio spectrum, the basis of switching, spectrum management and spectrum sharing is the precondition of effective, reliable, wireless communication, the spectrum sensing algorithm based on sending and have energy detection, matched filtering test and cyclic stationary test three classical algorithms, detailed description of the classical algorithm, and through the simulation to compare the performance of three algorithms, put forward the suitable application scenario, provide some reference for researchers of the algorithm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Seshukumar, K., Saravanan, R., Suraj, M.S.: Spectrum sensing review in cognitive radio. In: The International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT), pp. 1–4 (2013)
Masonta, M.T., Mzyece, M., Ntlatlapa, N.: Spectrum decision in cognitive radio networks: a survey. IEEE Commun. Surv. Tutor. 15(3), 1088–1107 (2012)
Tandra, R., Sahai, A.: Fundamental limits on detection in low SNR. In: Proceedings of the Wireless Comm Symposium on Signal Processing, pp. 464–469 (2005)
Xinzhi, Z., Rong, C., Feifei, G.: Matched filter based spectrum sensing and power level detection for cognitive radio network. In: IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 1267–1270 (2014)
Cabric, D., Mishra, S.M., Brodersen, R.W.: Implementation issues in spectrum sensing for cognitive radios. In: Proceedings of Asilomar Conference on Signals, Systems and Computers (ACSSC 2004), pp. 772–776 (2004)
Ruolin, Z., Xue, L., Yang, T.C.: Real-time cyclostationary analysis for cognitive radio via software defined radio. In: IEEE Global Communications Conference (GLOBECOM), pp. 1495–1500 (2012)
Optimizing wideband cyclostationary spectrum sensing under receiver impairments. IEEE Trans. Sig. Process. 61(15), 3931–3943 (2013)
Mishra, S.M., Sahai, A., Brodersen, R.W.: Cooperative sensing among cognitive radios. In: Proceedings of IEEE International Conference on Communications (ICC 2006), pp. 1658–1663 (2006)
Fan, R., Jiang, H.: Optimal multi-channel cooperative sensing in cognitive radio networks. IEEE Trans. Wirel. Commun. 9(3), 1128–1138 (2010)
Zhi, T., Tafesse, Y., Sadler, B.M.: Cyclic feature detection with sub-Nyquist sampling for wideband spectrum sensing. IEEE J. Sel. Top. Sig. Process. 6(1), 58–69 (2011)
Gardner, W.: Measurement of spectral correlation. IEEE Trans. Acoust. Speech Sig. Process. 34(5), 1111–1123 (1986)
Jiang, X.L., Gu, X.M.: Double threshold collaborative spectrum sensing algorithm based on energy detection. J. Hei LongJiang Univ. Sci. Technol. 553–556 (2016)
Gezici, S., Celebi, H., Poor, H.V., Arslan, H.: Fundamental limits on time delay estimation in dispersed spectrum cognitive radio systems. IEEE Trans. Wirel. Commun. 8(1), 78–83 (2009)
Acknowledgement
This work was supported by the Heilongjiang Province Natural Science Foundations of China (F2015019, F2015017 and E2016061), the Heilongjiang Province Postdoctoral Science Foundations (LBH-Z16054).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Jiang, X., Qu, S., Tang, Z. (2019). Analysis of the Classical Spectrum Sensing Algorithm Based on Transmitter. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-030-19156-6_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-19156-6_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-19155-9
Online ISBN: 978-3-030-19156-6
eBook Packages: Computer ScienceComputer Science (R0)