Title :
Frontiers in multiple-agents evolutionary techniques applied to adaptive arrays design
Author :
Azaro, R. ; Donelli, M. ; De Natale, F. ; Franceschini, G. ; Franceschini, D. ; Massa, A. ; Piffer, S.
Author_Institution :
Dept. of Inf. & Commun. Technol., Trento Univ.
Abstract :
This paper proposes an innovative approach to control phased arrays. Starting from the adaptive array theory, a particle swarm strategy is used to tune the phase coefficients of the array in order to adaptively minimize/avoid the effects of interfering signals at the receiver. The effectiveness of the proposed approach is assessed through a comparison with state-of-the-art methods
Keywords :
adaptive antenna arrays; antenna theory; evolutionary computation; interference (signal); particle swarm optimisation; adaptive array theory; adaptive arrays design; control phased arrays; interfering signals; multiple-agents evolutionary techniques; particle swarm strategy; receiver; Adaptive arrays; Adaptive control; Communications technology; Convergence; Covariance matrix; Electronic mail; Particle swarm optimization; Phased arrays; Programmable control; Signal to noise ratio;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2005 IEEE
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-8883-6
DOI :
10.1109/APS.2005.1551554