Abstract
In this paper, we propose a new spectrum sensing method which could detect the time-variant fading channel gain and primary user state jointly. This joint estimation algorithm is based on the maximum a posteriori probability criteria and the particle filtering technology. Experimental simulations verify the superior performance of our presented joint detection scheme over traditional detection methods such as matched filtering detection and energy detection under time-variant flat fading channel.
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
Federal Communication Commission (2002) Spectrum Policy Task Force Report, ET Docket, no. 02-155, Nov 02, 2002
Ma J, Li GY, Juang BH (2009) Signal processing in cognitive radio. Proc IEEE 97(5):805–823
Chen HS, Gao W, Daut DG. Signature based spectrum sensing algorithms for IEEE 802.22 WRAN. In: Proceedings of IEEE International Conference on Communications (ICC), Glasgow, Scotland, Jun 2007, pp 6487–6492. MF
Digham, FF, Alouini, MS, Simon, MK (2003) On the energy detection of unknown signals over fading channels. In: Proceedings of IEEE International Conference on Communications (ICC), Anchorage, AK, May 2003, pp 3575–357
López-BenÃtez M, Casadevall F (2012) Improved energy detection spectrum sensing for cognitive radio. Commun IET 6(8):785–796
Zhao C, Sun M, Li B, Zhao L, Peng X (2014) Blind spectrum sensing for cognitive radio over time-variant multipath flat-fading channels. EURASIP J Wirel Commun Netw 2014:84
Sadeghi P, Kennedy R, Rapajic P, Shams R (2008) Finite-state Markov modeling of fading channels: a survey of principles and applications. IEEE Signal Process Mag 25(5):57–80
Li B, Zhou Z, Nallanathan A (2013) Joint estimation based spectrum sensing for cognitive radios in time variant flat fading channel. In: Proceedings of IEEE global communications conference (Globecom 2013), Atlanta, Georgia, USA, Dec. 2013, pp 1–6
Sun M, Li B, Song Q, Zhao L, Zhao C (2014) Joint detection scheme for spectrum sensing over time-variant flat fading channel. IET Commun. (2014, in press)
Djuric PM, Kotecha JH, Zhang JQ, Huang YF, Chirmai T, Bugallo MF, Miguez J (2003) Particle filtering. IEEE Signal Process Mag 20(5):19–38
Li B, Zhao C, Sun M, Zhou Z et al. (2014) Spectrum sensing for cognitive radios in time-variant flat fading channels: a joint estimation approach. IEEE Trans Commun. (in press, 2014)
Acknowledgments
This work was supported by the National Natural Science Foundation of China (61271180, 61379016), Research Fund for the Doctoral Program of Higher Education of China (20130005110016), Major National Science and Technology Projects (2013ZX03001015-003).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Sun, M., Lai, X., Peng, X., Zhao, C., Li, B. (2015). Efficient Joint Spectrum Sensing Algorithm Under Time-Variant Flat Fading Channel. In: Mu, J., Liang, Q., Wang, W., Zhang, B., Pi, Y. (eds) The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-08991-1_42
Download citation
DOI: https://doi.org/10.1007/978-3-319-08991-1_42
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08990-4
Online ISBN: 978-3-319-08991-1
eBook Packages: EngineeringEngineering (R0)