DocumentCode :
2194264
Title :
GA-based adaptive thinning strategy for pattern nulling in linear arrays
Author :
Rocca, Paolo ; Poli, Lorenzo ; Oliveri, Giacomo ; Massa, Andrea
Author_Institution :
ELEDIA Res. Center, Univ. of Trento, Trento, Italy
fYear :
2012
fDate :
26-30 March 2012
Firstpage :
1526
Lastpage :
1527
Abstract :
A strategy based on a genetic algorithm (GA) for the synthesis of adaptive thinned arrays is presented in this paper aimed to receive a desired signal maximizing the signal-to-noise-plus-interference ratio (SINR). Nulls or very-low sidelobes are placed in the directions of the interferences. Moreover, additional constraints on the number of active elements are considered to obtain a desired directivity. A set of preliminary results is reported to show the effectiveness of the proposed approach.
Keywords :
active antenna arrays; adaptive antenna arrays; genetic algorithms; interference (signal); linear antenna arrays; GA-based adaptive thinning strategy; SINR; active element; adaptive antenna system; adaptive nulling; adaptive thinned array; genetic algorithm; linear array; pattern nulling; signal-to-noise-plus-interference ratio; very-low sidelobe; Adaptive arrays; Array signal processing; Genetic algorithms; Interference; Signal to noise ratio; adaptive antenna systems; adaptive nulling; genetic algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation (EUCAP), 2012 6th European Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0918-0
Electronic_ISBN :
978-1-4577-0919-7
Type :
conf
DOI :
10.1109/EuCAP.2012.6206573
Filename :
6206573
Link To Document :
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