GUAN Lei, LI Zan, HAO Benjian, SI Jiangbo, NING Ben. Cognitive Frequency Hopping Sequences[J]. Chinese Journal of Electronics, 2016, 25(1): 185-191. doi: 10.1049/cje.2016.01.028
Citation: GUAN Lei, LI Zan, HAO Benjian, SI Jiangbo, NING Ben. Cognitive Frequency Hopping Sequences[J]. Chinese Journal of Electronics, 2016, 25(1): 185-191. doi: 10.1049/cje.2016.01.028

Cognitive Frequency Hopping Sequences

doi: 10.1049/cje.2016.01.028
Funds:  This work was supported in part by the National Natural Science Foundation of China (No.61401323, No.61301179, No.61102058), the Foundation of National Key Laboratory of Science and Technology on Communications Anti-Jamming, the Fundamental Research Funds for the Central Universities (No.72124338), the Doctorial Programs Foundation of the Ministry of Education (No.20110203110011).
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  • Corresponding author: HAO Benjian (corresponding author) received the M.S. degree (first-class honours) in Communication and Information System from Xidian University, Xi'an, China, in 2006, and the Ph.D. degree in Military Communication from Xidian University, Xi'an, China, in 2009. His current research interests include radio channel characterization and modeling for wireless communications, localization and tracking based on wireless sensor networks. (Email: bjhao@xidian.edu.cn)
  • Received Date: 2014-05-06
  • Rev Recd Date: 2014-09-17
  • Publish Date: 2016-01-10
  • Since the immutable conventional Frequency hopping (FH) sequence cannot keep high FH communication reliability in complex electromagnetic environment, we propose an algorithm that can generate high-performance Cognitive frequency hopping sequence (CFHS) for Cognitive frequency hopping (CFH) system. By employing the pseudo-random perturbation mapping, the CFHS is generated by remapping the block cipher FH sequence with the adaptive frequency slot number and frequency gap. The CFHS inherits the great integrated performance and its parameters could change with the electromagnetic environment. The statistics properties of Markov and uniformity are analyzed based on the Markov process theory and probability theory. Simulation results show that CFHS outperforms the widely-used FH sequences on the performance of uniformity, randomness, Hamming correlation, complexity and sensitivity. The proposed CFHS could be extensively applied in high reliable CFH system.
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  • R. Zhi, L. Zhang, Z. Zhou, “Cognitive frequency hopping”, Proc. of Cognitive Radio Oriented Wireless Networks and Communications, Singapore, pp.1-4, 2008.
    Q.Z. Du, Y. Peng, Q.P. Yang, et al., “A novel cognitive frequency hopping mechanism for bluetooth network”, Applied Mechanics and Materials, pp.2002-2006, 2013.
    M.J.A. Rahman, M. Krunz, R. Erwin, “Interference mitigation using spectrum sensing and dynamic frequency hopping”, Proc. of IEEE International Conference on Communications, Ottawa, Canada, pp.4421-4425, 2012.
    L. Cong, S. Songgeng, “Chaotic frequency hopping sequences”, IEEE Transactions on Communications, Vol.46, No.11, pp.1433-1437, 1998.
    Z.H. Guo, Y.G. Chen, Q. Li, C.B. Yin, T.H. Zhang, “Improvement of frequency hopping sequences based on Logistic map”, Systems Engineering and Electronics, Vol.31, No.4, pp.773-776, 2009.
    S.B. Park, K.E. Lee, Y.K. Choi, et al., “Some good frequency hopping sequences with arbitrary number of slots”, Proc. of Military Communications Conference, pp.1325-1329, 2001.
    A. Geng, X. Huang, Y. Zhuang and F. Guo, “Construction of frequency hopping sequence with arbitrary slots number”, Communications Technology, No.4, pp.54-56, 2007.
    D. Xu, Y. Zhao, R. Yin, et al., “The design of wide interval FH sequences based on RS code”, Applied Science and Technology, Vol.37, No.2, pp.28-33, 2010.
    Z. Ying, X. Yang, “A novel space-time FFH-MIMO system with generalized wide-interval FH patterns”, Proc. of 11th IEEE Singapore International Conference on Communication Systems, Guangzhou, China, pp.684-688, 2008.
    J.L. Feng, Y.C. Zhao, “Frequency hopping sequences with given minimum gap generated by improved random shift replace method”, Telecommunication Engineering, Vol.53, No.9, pp.773-776, 2013, (in Chinese).
    W.M. He, G. Feng, “Comparison of two algorithms to generate wide gap FH code sequence”, Journal of PLA University of Science and Technology, Vol.5, No.4, pp.29-33, 2004, (in Chinese).
    X.-Y. Jiang, C. Zhang and J.-H. Lu, “Time-frequency sequence design based on cognitive collaboration”, Journal of Electronics and Information Technology, Vol.31, No.8, pp.1903-1907, 2009, (in Chinese).
    H. Shibiao, X. Guixin and W. Lehua, “Sequence design for cognitive FH-cdma systems”, Proc. of IEEE Conference on Industrial Electronics and Applications, Harbin, China, pp.1543- 1546, 2007.
    Z. Li, Y. Chang, L. Jin, “A novel family of frequency hopping sequences for multi-hop Bluetooth networks”, IEEE Transactions on Consumer Electronics, Vol.49, No.4, pp.1084-1089, 2003.
    S. Guan, F. Yao, “A study of the stochastic and spectral distribution for the wide-interval frequency-hopped pattern based on the Markov's process”, Acta Electronica Sinica, Vol.31, No.7, pp.998-1001, 2003, (in Chinese).
    F. Liu, D.Y. Peng, J. Fan, X.H. Tang, “A new class of frequencyhopping sequences with optimal hamming autocorrelation”, Acta Electronica Sinica, Vol.41, No.1, pp.13-17, 2013, (in Chinese).
    X.J. Chen, J.B. Si, Z. Li, et al., “A new complexity metric for FH/SS sequences using fuzzy entropy”, Science China Information Sciences, Vol.54, No.7, pp.1491-1499, 2011.
    J.T. Gao, Y.P. Hu, X.L. Li, S.R. Xiang, “Linear complexity of two classes of optimal sets frequency-hopping sequences”, Journal on Communications, Vol.33, No.2, pp.1175-1179, 2012.
    Z. Li, J. Cai, Y. Chang, “Determining the complexity of FH/SS sequence by approximate entropy”, IEEE Transactions on Communications, Vol.57, No.3, pp.812-820, 2009.
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