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Cooperative Spectrum Sensing-Based Wideband Cognitive Radio System Design

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Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

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Abstract

Cooperative spectrum sensing can improve detection performance of cognitive radio (CR) when the channel is in severe fading and shadowing environment. In this paper, we have designed cooperative spectrum sensing-based wideband CR system including transmitter and receiver. Each CR user marks the spectrum availability through energy detection and gets the sub-basis function through doing Inverse Fast Fourier Transform (IFFT) with the product of the spectral marker vector and the random phase vector. The cooperative spectrum sensing can be realized by cascading the sub-basis functions of all the users. The simulation results have shown that the proposed system can avoid the interference caused by the primary user and outperform the spread spectrum system.

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Acknowledgments

This work was supported by the National Natural Science Foundations of China under Grant Nos. 61601221, 51404211, 91438205 and 61671183, the Natural Science Foundations of Jiangsu Province under Grant No. BK20140828, the China Postdoctoral Science Foundations under Grant No. 2015M580425 and the Fundamental Research Funds for the Central Universities under Grant No. DUT16RC(3)045, and the Open Research Fund of State Key Laboratory of Space-Ground Integrated Information Technology under grant No. 2015_SGIIT_KFJJ_TX_02.

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Correspondence to Xin Liu .

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Liu, X., Jia, M., Lu, W., Li, F., Zou, D. (2019). Cooperative Spectrum Sensing-Based Wideband Cognitive Radio System Design. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_65

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_65

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

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