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Simulation results show that the maximum sidelobe level obtained by EBBO can be suppressed effectively compared with other algorithms.
The beamwidth and the maximum sidelobe level are used to quantify the spatial variation of the beampattern through a new criterion.
In this work a procedure namely Findpeaks2 is proposed to detect the maximum sidelobe level (SLL) from the samples of three dimensional radiation pattern.
In this paper the optimal design for maximum sidelobe level (SLL) reduction of three-ring Concentric Circular Antenna Array (CCAA) is determined using a novel Particle Swarm Optimization (PSO) technique namely Improved Particle Swarm Optimization (IPSO) algorithm.
In this paper the maximum sidelobe level (SLL) reductions, optimal beam patterns and optimal beam widths of various designs of three-ring planar concentric circular antenna arrays (PCCAA) are examined using three different classes of evolutionary optimization techniques to finally determine the global optimal three-ring PCCAA design and then establish some sort of ranking among the techniques.
In the Monte Carlo experiments, the maximum sidelobe level (denominator) is measured from the maximum local peak of gain pattern outside ML.
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These maximum probability functions allow a pre-selection of those array geometries that are more likely to be associated to specified sidelobe level values.
New judgment techniques are introduced such as apodization window roll-off rate, asymptotic sidelobe decay level, number of sidelobes, and average sidelobe level.
This paper proposes a design method of array pattern optimization for sidelobe level (SLL) reduction.
Apodization is a common way to control the sidelobe level of the beampattern.
We proposed a template fitting approach based on the templates which define the spectrum compatibility requirements and sidelobe level requirements.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com