TY - GEN
T1 - A hybrid PSO-GA algorithm based directional modulation technique
AU - Liu, Feng
AU - Wang, Ling
AU - Xie, Jian
AU - Zhang, Wei
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Directional Modulation (DM) technique, as a promising mean to secure wireless communication, has been attracting increasing attention in recent ten years. The baseband modulation signal is synthesized at the antenna level for maintaining the standard constellation format along the prescribed direction while simultaneously distorting the signal constellation in other directions. In this paper, we present a novel phased DM signal synthesis method using an improved hybrid algorithm, which takes advantages of both genetic algorithm (GA) and particle swarm optimization (PSO) algorithm. The proposed DM signal has a narrower information beam-width, so it offers a better physical layer secure performance compared with the GA or PSO optimized directional modulation signal. Simulation results validate the proposed synthesis approach.
AB - Directional Modulation (DM) technique, as a promising mean to secure wireless communication, has been attracting increasing attention in recent ten years. The baseband modulation signal is synthesized at the antenna level for maintaining the standard constellation format along the prescribed direction while simultaneously distorting the signal constellation in other directions. In this paper, we present a novel phased DM signal synthesis method using an improved hybrid algorithm, which takes advantages of both genetic algorithm (GA) and particle swarm optimization (PSO) algorithm. The proposed DM signal has a narrower information beam-width, so it offers a better physical layer secure performance compared with the GA or PSO optimized directional modulation signal. Simulation results validate the proposed synthesis approach.
KW - Directional modulation (DM)
KW - Genetic algorithm (GA)
KW - Hybrid algorithm
KW - Particle swarm optimization (PSO)
UR - https://www.scopus.com/pages/publications/85078872661
U2 - 10.1109/ICSPCC46631.2019.8960730
DO - 10.1109/ICSPCC46631.2019.8960730
M3 - 会议稿件
AN - SCOPUS:85078872661
T3 - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
BT - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019
Y2 - 20 September 2019 through 22 September 2019
ER -