A Dynamic Invasive Weeds Optimization Applied to Null Control of Linear Antenna Arrays with Constrained DRR
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Université de M'sila
Abstract
In the present work, a dynamic stochastic method is proposed and used for the synthesis of
uniform linear antenna arrays. The proposed method combines the classical invasive weeds optimization
(IWO) and the mutation process, which makes it robust, simple and shows flexibility to be adapted. The
dynamic IWO applies the mutation process in the calculation of standard deviation during the spatial dispersal
process of produced seeds while keeping the mean at the parent plants. In the mutation process, if special
conditions were achieved, the standard deviation would be re-initialized. This proposed method tries to
achieve an optimal array pattern by acting on the relative amplitude excitation of each element in the linear
array for an optimal inter-element spacing. The optimal array pattern has deep or broad nulls in some
directions of interferences with low sidelobes level. The objective of the synthesis is to get amplitude
excitations with low dynamic range ratio (DRR), which facilitates the design of beamforming feed network.
To illustrate the robustness of the proposed method, numerical examples are presented and compared with
the obtained results using bees algorithm (BA), bacterial foraging algorithm (BFA), real genetic algorithm
(RGA), and the corresponding reference array pattern for each example
Description
Keywords
Antenna array synthesis, dynamic invasive weeds optimization, nulls control, dynamic range ratio.