Title :
A simple and robust adaptive parasitic antenna
Author :
Migliore, Marco Donald ; Pinchera, Daniele ; Schettino, Fulvio
Author_Institution :
Microwave Lab., Univ. of Cassino, Italy
Abstract :
A novel Uda-Yagi adaptive antenna is numerically and experimentally investigated. The antenna consists of an active element and a relatively large number of parasitic elements closed on two different loads selectable by simple electronic switches. The use of fuzzy-logic based cost function and self-adaptive biological beamforming algorithms allows to obtain quite good performances both in terms of signal to interference plus noise ratio and voltage standing wave ratio. The antenna is simple, low cost, and is robust with respect to mechanical and electrical tolerances and with respect to failures of some passive elements. Experimental results on two different prototypes confirm the good performances of the proposed antenna.
Keywords :
Yagi antenna arrays; adaptive antenna arrays; array signal processing; electronic switching systems; fuzzy logic; genetic algorithms; tolerance analysis; Uda-Yagi adaptive antenna; active element; electronic switches; evolutionary algorithm; fuzzy-logic based cost function; genetic algorithm; mechanical-electrical tolerance; parasitic array element; particle swarm optimization; self-adaptive biological beamforming algorithm; Adaptive arrays; Array signal processing; Cost function; Interference; Loaded antennas; Noise robustness; Prototypes; Signal to noise ratio; Switches; Voltage; Adaptive antennas; evolutionary algorithms; fuzzy logic; genetic algorithms; particle swarm optimization; switched parasitic array;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2005.856361