In this paper a new approach to the control of phased arrays is presented and assessed. 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. To show the effectiveness of the proposed approach, a selected set of numerical examples, concerned with linear as well as planar arrays, is presented. Furthermore, to evaluate the advantages of the particle swarm optimizer (PSO)-based strategy over state-of-art methods, a comparative study is carried out by analyzing the performance of the method in terms of both the signal-to-interference-plus-noise-ratio and resulting beam pattern. The achieved results, even though preliminary, seem to confirm that the PSO-based approach satisfactorily works and it generally outperforms previously proposed/state-of-art phase-only adaptive control strategies

An innovative computational approach based on a particle swarm strategy for adaptive phased-arrays control / Donelli, Massimo; Azaro, Renzo; De Natale, Francesco; Massa, Andrea. - In: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION. - ISSN 0018-926X. - STAMPA. - 54:3(2006), pp. 888-898. [10.1109/TAP.2006.869912]

An innovative computational approach based on a particle swarm strategy for adaptive phased-arrays control

Donelli, Massimo;De Natale, Francesco;Massa, Andrea
2006

Abstract

In this paper a new approach to the control of phased arrays is presented and assessed. 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. To show the effectiveness of the proposed approach, a selected set of numerical examples, concerned with linear as well as planar arrays, is presented. Furthermore, to evaluate the advantages of the particle swarm optimizer (PSO)-based strategy over state-of-art methods, a comparative study is carried out by analyzing the performance of the method in terms of both the signal-to-interference-plus-noise-ratio and resulting beam pattern. The achieved results, even though preliminary, seem to confirm that the PSO-based approach satisfactorily works and it generally outperforms previously proposed/state-of-art phase-only adaptive control strategies
3
Donelli, Massimo; Azaro, Renzo; De Natale, Francesco; Massa, Andrea
An innovative computational approach based on a particle swarm strategy for adaptive phased-arrays control / Donelli, Massimo; Azaro, Renzo; De Natale, Francesco; Massa, Andrea. - In: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION. - ISSN 0018-926X. - STAMPA. - 54:3(2006), pp. 888-898. [10.1109/TAP.2006.869912]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/71428
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