Abstract
Signal detection is an essential section of Cognitive Radio. In this paper, a method is adopted based on the eigenvalue of the autocorrelation matrix of the received signal. This method is based on the random matrix theory, using the ratio from the maximum eigenvalue to the minimum eigenvalue as the test statistic to detect the existence of primary users, so as to improve the spectrum efficiency. Simulation based on the signal detection in the Rician fading channel, the results show that the performance of the adopted method is better than energy detection in the same fading environment.
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
Preview
Unable to display preview. Download preview PDF.
References
Mitola, J., Maguire, G.Q.: Cognitive Radio.Making Software Radios More Personal. IEEE Pcrsonal Communications 6(4), 13–18 (1999)
Sahai, A., Cabric, D.: Spectrum sensing: fundamental limits and practical challenges. In: Proc. IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), Baltimore, MD (November 2005)
Zeng, Y., Liang, Y.-C.: Maximum-Minimum Eigenvalue Detection for Cognitive Radio. In: IEEE ICC 2008 (May 2008)
Gursoy, M.C., Poor, H.V., Verdú, S.: The noncoherent Rician fading channel—Part I: Structure of the capacity-achieving input. IEEE Trans. Wireless Commun. 4(5), 2193–2206 (2005)
Tracy, C.A., Widom, H.: On orthogonal and symplectic matrix ensembles. Comm. Math. Phys. 177, 727–754 (1996)
Bai, Z.D.: Methodologies in spectral analysis of large dimensional random matrices, a review. Statistica Sinica 9, 611–677 (1999)
Kostov, N.: Mobile Radio Channels Modeling in Matlab. Radio Engineering 12(4), 12–16 (2003)
Zeng, Y.: http://www1.i2r.a-star.edu.sg/~yhzeng/WAS_3_27_06022000_REF
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Feng, Ss., Chen, Yb., Gao, F. (2013). Signal Detection Based on Maximum-Minimum Eigenvalue in Rician Fading Channel. In: Guyot, V. (eds) Advanced Infocomm Technology. ICAIT 2012. Lecture Notes in Computer Science, vol 7593. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38227-7_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-38227-7_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38226-0
Online ISBN: 978-3-642-38227-7
eBook Packages: Computer ScienceComputer Science (R0)