Pattern synthesis of an array antenna in a radome

Chikaoka, S.; Chiba, Isamu; Sunahara, Yonehiko; Numazaki, T.; Mano, Seiji

doi:10.1109/aps.1990.115242

Cited by 3 publications

(1 citation statement)

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“…Orta et al analyzed the radiation characteristics of dielectric radome covered antennas by ray techniques combined with reciprocity theorem [2]. Chikaoka et al determined the influences of scattered waves caused by metal frames of a radome by using geometrical theory of diffraction (GTD) [3]. Grodon and Mittra used finite element method (FEM) to analyze the array antenna with axisymmetric inhomogeneous dielectric radome [4].…”

Section: Introductionmentioning

confidence: 99%

Fast Optimization of Array Antenna Enclosed by Asymmetric Radome Using Aep Combined With Enhanced Hgapso

Dai¹,

Xie²,

Zhang³

et al. 2021

PIER M

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An efficient analysis and optimization method is proposed to compensate the influence of asymmetric radome on an antenna by correcting amplitude and phase of the excitations. The asymmetrical and heteromorphic radomes are inevitable for the radar on high-speed aircraft. Many previous researches focused on the optimization of the radome structure and thickness to reduce the influence of radomes. However, the influence of complex streamlined radome cannot be compensated by merely optimizing the structure and thickness of the radome. Therefore, an alternative optimization method, optimizing amplitude and phase of feeds, is used in this paper. This paper adopts the active element pattern (AEP) technique, utilizing full-wave simulation method to extract the AEP for each antenna element and computing radiation patterns of array antenna by using vector composition of AEP. In combination with hybrid genetic algorithm-particle swarm optimization (HGAPSO), the antenna radiation characteristics can be obtained by updating excitations, which avoid the repeated full-wave simulation in the optimization process. Furthermore, the speed updating formula of PSO algorithm is improved combined with prior information, and the convergence speed is further increased. Finally, a 64 elements array antenna-radome system was optimized as an example in the cases of continuously adjustable phase and digital discrete phase.

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Section: Introductionmentioning

confidence: 99%