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:
  • 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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