Abstract
With the shrinking of the feasible domain, the problems of slow convergence and easy to fall into local optimum in Particle Swarm Optimization (PSO) algorithm become more serious. To solve this problem, the paper presents an improved PSO method. First, The mass of the initial population is optimized by using an opposition based learning strategy. Secondly, The algorithm is divided into two stages according to the feasible solution proportion of the population. The improved algorithm is applied to synthesize directional modulation signals on a time-modulated array (TMA). Experimental results show that the proposed algorithm has better convergence speed and optimization ability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ding Y, Fusco VF (2014) A vector approach for the analysis and synthesis of directional modulation transmitters. IEEE Trans Antennas Propag 62(1):361–370
Daly MP, Bernhard JT (2009) Directional modulation technique for phased arrays. IEEE Trans Antennas Propag 57(9):2633–2640
Trastoy A, Rahmat-Samii Y, Ares F, Moreno E (2004) Two-pattern linear array antenna: synthesis and analysis of tolerance. IEE Proceedings Microwaves, Antennas and Propagation 151:127–130
Kummer W, Villeneuve A, Fong T, Terrio F (1963) Ultra-low sidelobes from time-modulated arrays. IEEE Trans Antennas Propag 11(6):633–639
Huang G, Ding Y, Ouyang S (2021) Multicarrier directional modulation symbol synthesis using time-modulated phased arrays. IEEE Antennas Wirel Propag Lett 20(4):567–571
Bilal D, Pant M, Zaheer H, Garcia-Hernandez L, Abraham A (2020) Differential evolution: a review of more than two decades of research. Eng Appl Artif Intell 90:103479
Ma X, Liu Y, Xu KD, Zhu C, Liu Q (2018) Synthesizing multiple-pattern sparse linear array with accurate sidelobe control by the extended reweighted l1-norm minimization. Electron Lett 54:03
Chen RB, Hsu YW, Hung Y, Wang W (2014) Discrete particle swarm optimization for constructing uniform design on irregular regions. Comput Stat Data Anal 72:282–297
Acknowledgements
The work was supported by the Natural Science Foundation of China (62101383, 62381340168), “Chunhui Project” cooperative research project of the Ministry of Education (HZ KY20220595).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zhang, Y., Zhang, B., Zhang, B., Kim, T. (2024). An Improved Particle Swarm Optimization Algorithm for Multicarrier Based Directional Modulation Symbol Synthesis in Time-Modulated Antenna Arrays. In: Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2023. Lecture Notes in Electrical Engineering, vol 1033. Springer, Singapore. https://doi.org/10.1007/978-981-99-7502-0_62
Download citation
DOI: https://doi.org/10.1007/978-981-99-7502-0_62
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-7555-6
Online ISBN: 978-981-99-7502-0
eBook Packages: EngineeringEngineering (R0)