@Article{cmc.2020.09905,
AUTHOR = {Yuwei Huang, Xiubo Chen, Kaiguo Yuan, Jianyi Zhang, Biao Liu},
TITLE = {Directional Modulation Based on a Quantum Genetic Algorithm  for a Multiple-Reflection Model},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {64},
YEAR = {2020},
NUMBER = {3},
PAGES = {1771--1783},
URL = {http://www.techscience.com/cmc/v64n3/39458},
ISSN = {1546-2226},
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.},
DOI = {10.32604/cmc.2020.09905}
}