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2019 | OriginalPaper | Chapter

Robust Spectrum Sensing for Cognitive Radio with Impulsive Noise

Author : Liping Luo

Published in: Communications and Networking

Publisher: Springer International Publishing

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Abstract

Spectrum sensing plays an important role in cognitive radio. In this paper, a robust spectrum sensing method via empirical characteristic function based on goodness-of-fit testing is proposed, named as ECF detector. The test statistic is derived from the empirical characteristic function of the observed samples, thus the secondary users do not require any prior knowledge of the primary signal and the noise distribution. Extensive simulations are performed and compared with the existing spectrum sensing methods, such as energy detector, eigenvalue-based detector, AD detector and KS detector. The results show that, the proposed ECF detector can offer superior detection performance under both the Gaussian noise and the impulsive noise environments.

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previous chapter Two Stage Detection for Uplink Massive MIMO MU-SCMA Systems
next chapter Resource Allocation for Mobile Data Offloading Through Third-Party Cognitive Small Cells
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Metadata
Title
Robust Spectrum Sensing for Cognitive Radio with Impulsive Noise
Author
Liping Luo
Copyright Year
2019
Book
Communications and Networking

Print ISBN: 978-3-030-06160-9

Electronic ISBN: 978-3-030-06161-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-06161-6_42

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