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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2020

12.06.2020

Polarized Antenna Aided Spectrum Sensing Based on Stochastic Resonance

verfasst von: Jin Lu, Ming Huang, Jingjing Yang, Peng Li

Erschienen in: Wireless Personal Communications | Ausgabe 4/2020

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Abstract

Wireless communications is one of the most rapidly developing segments of the telecommunications industry. A large amount of intelligent terminal occupying the spectrum results in the reduction of radio spectrum resources. Cognitive radio is considered to be the most effective approach to solve this problem, which required rapid and exact spectrum sensing. This paper proposes a novel polarized antenna method based on likelihood ratio test and stochastic resonance. In the condition of adiabatic approximation, the stochastic resonance can increase signal to noise ratio, and adequately transfer the energy of noise to original signal. The proposed method applies the stochastic resonance to each polarized component. The experiments show that the proposed spectrum sensing method is suitable for generalized likelihood ratio test in additional white Gussion noise and lower signal to noise ratio, rather than polarized channel matrix and idealistic likelihood ratio test.
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Literatur
1.
Zhang, S., Hu, Y., Zhang, L., & Bao, Z. (2018). Novel spectrum sensing and access in cognitive radio networks. Science China (Information Sciences), 61(8), 228–230.MathSciNet
2.
Lu, Q. N., Yang, J. J., Jin, Z. Y., Chen, D. Z., & Huang, M. (2017). State of the art and challenges of radio spectrum monitoring in China. Radio Science, 52(10), 1261–1267.CrossRef
3.
IEEE. (2011). IEEE standard for information technology—local and metropolitan area networks—specific requirements—part 22: cognitive wireless RAN medium access control (MAC) and physical layer (PHY) specifications: policies and procedures for operation in the TVB. IEEE Std 802.22, 1–680.
4.
Claudino, L., & Abrão, T. (2017). Spectrum sensing methods for cognitive radio networks: a review. Wireless Personal Communications, 95(4), 5003–5037.CrossRef
5.
He, D., Lin, Y., He, C., & Jiang, L. (2010). A novel spectrum-sensing technique in cognitive radio based on stochastic resonance. IEEE Transactions on Vehicular Technology, 59(4), 1680–1688.CrossRef
6.
Wang, J., Ren, X., Zhang, S., Zhang, D., Li, H., & Li, S. (2014). Adaptive bistable stochastic resonance aided spectrum sensing. IEEE Transactions on Wireless Communications, 13(7), 4014–4024.CrossRef
7.
Li, Q., & Li, Z. (2013). A novel sequential spectrum sensing method in cognitive radio using suprathreshold stochastic resonance. IEEE Transactions on Vehicular Technology, 63(4), 1717–1725.
8.
Lu, J., Huang, M., & Yang, J. J. (2017). A novel spectrum sensing method based on tri-stable stochastic resonance and quantum particle swarm optimization. Wireless Personal Communications, 95(3), 2635–2647.CrossRef
9.
He, D., Chen, X., Pei, L., Jiang, L.G., & Yu, W.X. (2019). Improvement of noise uncertainty and signal-to-noise ratio wall in spectrum sensing based on optimal stochastic resonance. Sensors, 19(4), 1–17.
10.
Huang, D., Yang, J., Zhang, J., & Liu, H. (2018). An improved adaptive stochastic resonance with general scale transformation to extract high-frequency characteristics in strong noise. International Journal of Modern Physics B, 32(15), 185–205.MathSciNetCrossRef
11.
Zhang, X. K., Zhang, B. N., Guo, D. X., Liu, F. J., & Wang, Y. W. (2017). Application of signal polarization feature in wireless transmission. Communications Technology, 50(6), 1101–1107.
12.
Novak, L. M., Sechtin, M. B., & Cardullo, M. J. (1989). Studies on target detection algorithms which use polarimetric radar data. IEEE Transactions on Aerospace and Electronic Systems, 25(2), 150–165.CrossRef
13.
Pratt, T., Nguyen, S., & Walkenhorst, B.T. (2009). Dual-polarized architectures for sensing with wireless communications signals. IEEE Military Communications Conference (MILCOM), (pp. 1–6).
14.
Liu, F., Feng, C., Guo, C., & Wang, Y. (2010). Virtual polarization detection: a vector signal sensing method for cognitive radios. IEEE Vehicular Technology Conference (VTC), (pp.1–5) May.
15.
Sharma, S.K., Chatzinotas, S., & Ottersten, B. (2012). Exploiting polarization for spectrum sensing in cognitive SatComs. International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), (pp. 36–41).
16.
Xu, Y., & Lim, M.S. (2012). Spectrum sensing using dual polarized multiple antennas in cognitive radio systems. Asia-Pacific Conference on Communications (APCC), (pp. 914–917).
17.
Guo, C., Wu, X., Feng, C., & Zeng, Z. (2013). Spectrum sensing for cognitive radios based on directional statistics of polarization vectors. IEEE Journal on Selected Areas in Communications, 31(3), 379–393.CrossRef
18.
Guo, C., Li, H., & Chen, S. (2016). Study of spectrum sensing exploiting polarization: from optimal LRT to practical detectors. Digital Signal Processing, 49, 1–13.CrossRef
19.
Guo, C., Chen, S., & Liu, F. (2016). Polarization-based spectrum sensing algorithms for cognitive radios: upper and practical bounds and experimental assessment. IEEE Transactions on Vehicular Technology, 65(10), 8072–8086.CrossRef
20.
Lu, J., Huang, M., & Yang, J. (2019). Study of polarization spectrum sensing based on stochastic resonance in partial polarized noise. Wireless Networks, 25(8), 4991–4999.CrossRef
Metadaten
Titel
Polarized Antenna Aided Spectrum Sensing Based on Stochastic Resonance
verfasst von
Jin Lu
Ming Huang
Jingjing Yang
Peng Li
Publikationsdatum
12.06.2020
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07537-2

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