Anzeige
Erschienen in:
2024 | OriginalPaper | Buchkapitel
An Improved Particle Swarm Optimization Algorithm for Multicarrier Based Directional Modulation Symbol Synthesis in Time-Modulated Antenna Arrays
verfasst von : Yuanlong Zhang, Bo Zhang, Baoju Zhang, Taekon Kim
Erschienen in: Communications, Signal Processing, and Systems
Verlag: Springer Nature Singapore
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.