Abstract
Eigenvalue-based spectrum detection has become a research hot topic, which can make detection by catching correlation features in space and time domains. However, most existing methods only consider part of eigenvalues rather than all the eigenvalues. Motivated by this, this paper focuses on all the eigenvalues of sample covariance matrix in digital channelized system and proposes an improved sub-band spectrum detection method. Utilizing the distribution characteristics of the maximum eigenvalue of covariance matrix and the correlation of all the average eigenvalues, a better theoretical expression of detection threshold is obtained. The proposed method can not only overcome the affection of noise uncertainty, but also achieve high detection probability under low SNR environment. Simulations are performed to verify the effectiveness of the proposed method.
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
Zhang, W.X., Shi, F.M., Liu, T.: Model of non-leaking-alarms and non-aliasing channelized digital receiver. In: Sixth International Conference on Instrumentation and Measurement, Computer, Communication and Control, pp. 994–997. IEEE (2016)
Stoica, P., Li, J., Xie, Y.: On probing signal design for MIMO radar. IEEE Trans. Signal Process. 55(8), 4151–4161 (2007)
Atapattu, S., Tellambura, C., Jiang, H.: Spectrum sensing via energy detector in low SNR. In: IEEE International Conference on Communications, pp. 1–5. IEEE (2011)
Xu, S., Zhao, Z., Shang, J.: Spectrum sensing based on cyclostationarity. In: The Workshop on Power Electronics & Intelligent Transportation System, pp. 171–174. IEEE Computer Society (2008)
Zeng, Y., Liang, Y.C.: Eigenvalue based spectrum sensing algorithms for cognitive radio. IEEE Trans. Commun. 57(6), 1784–1793 (2009)
Liu, C, Jin, M.: Maximum-minimum spatial spectrum detection for cognitive radio using parasitic antenna arrays. In: IEEE/CIC International Conference on Communications in China, pp. 365–369. IEEE (2015)
Shakir, M.Z., Rao, A., Alouini, M.S.: Generalized mean detector for collaborative spectrum sensing. IEEE Trans. Commun. 61(4), 1242–1253 (2013)
Wei, L., Tirkkonen, O.: Spectrum sensing in the presence of multiple primary users. IEEE Trans. Commun. 60(5), 1268–1277 (2012)
Johnstone, I.M.: On the distribution of the largest eigenvalue in principal components analysis. Ann. Stat. 29(2), 295–327 (2001)
Acknowledgement
This paper was supported by the National Natural Science Foundation of China under Grant 61671168 and the Fundamental Research Funds for the Central Universities (HEUCF160807).
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
Zhang, C., Li, S., Deng, Z., Hao, Y. (2019). An Improved Eigenvalue-Based Channelized Sub-band Spectrum Detection Method. In: Liu, S., Yang, G. (eds) Advanced Hybrid Information Processing. ADHIP 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-19086-6_27
Download citation
DOI: https://doi.org/10.1007/978-3-030-19086-6_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-19085-9
Online ISBN: 978-3-030-19086-6
eBook Packages: Computer ScienceComputer Science (R0)