Open Access
ARTICLE
Directional Modulation Based on a Quantum Genetic Algorithm for a Multiple-Reflection Model
Yuwei Huang1, 2, Xiubo Chen1, 3, *, Kaiguo Yuan1, 3, Jianyi Zhang4, Biao Liu2
1 Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing
University of Posts and Telecommunications, Beijing, 100876, China.
2 Beijing Electronic Science and Technology Institute, Beijing, 100070, China.
3 Sate Key Laboratory of Public Big Data, Guizhou University, Guiyang, 550025, China.
4 School of Computing and Informatics, The University of Louisiana at Lafayette, Lafayette, LA 70503, USA.
* Corresponding Author: Xiubo Chen. Email: .
Computers, Materials & Continua 2020, 64(3), 1771-1783. https://doi.org/10.32604/cmc.2020.09905
Received 12 February 2020; Accepted 21 April 2020; Issue published 30 June 2020
Abstract
Directional modulation is one of the hot topics in data security researches. To
fulfill the requirements of communication security in wireless environment with multiple
paths, this study takes into account the factors of reflections and antenna radiation pattern
for directional modulation. Unlike other previous works, a novel multiple-reflection
model, which is more realistic and complex than simplified two-ray reflection models, is
proposed based on two reflectors. Another focus is a quantum genetic algorithm applied
to optimize antenna excitation in a phased directional modulation antenna array. The
quantum approach has strengths in convergence speed and the globe searching ability for
the complicated model with the large-size antenna array and multiple paths. From this, a
phased directional modulation transmission system can be optimized as regards
communication safety and improve performance based on the constraint of the pattern of
the antenna array. Our work can spur applications of the quantum evolutionary algorithm
in directional modulation technology, which is also studied.
Keywords
Cite This Article
Y. Huang, X. Chen, K. Yuan, J. Zhang and B. Liu, "Directional modulation based on a quantum genetic algorithm for a multiple-reflection model,"
Computers, Materials & Continua, vol. 64, no.3, pp. 1771–1783, 2020.