Radiation Pattern Recovery of the Impaired-Radome-Enclosed Antenna Array

Zhou, Pingyuan; Zhang, Zhuo; He, Ming

doi:10.1109/lawp.2020.3013228

Cited by 13 publications

(6 citation statements)

References 19 publications

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“…In these techniques, stochastic algorithms such as simulated annealing in Zhou et al. (2020), genetic algorithm and particle swarm optimization (PSO) in Dai et al. (2021) are applied to find the optimized excitation amplitudes and phases for improved pattern performance.…”

Section: Introductionmentioning

confidence: 99%

“…(2021) and Zhou et al. (2020), the concept of AEPs is extended where all the AEPs are obtained by full‐wave simulating the practical antenna array‐radome structure to include antenna element mutual coupling as well as radome effect. In these techniques, stochastic algorithms such as simulated annealing in Zhou et al.…”

Section: Introductionmentioning

confidence: 99%

“…In Landesa et al (1999), a direct solving technique based on method of moments is proposed to optimize pattern performance for arrays close to dielectric bodies, but this technique still used the ideal point source assumption without considering the antenna element structure. In Dai et al (2021) and Zhou et al (2020), the concept of AEPs is extended where all the AEPs are obtained by fullwave simulating the practical antenna array-radome structure to include antenna element mutual coupling as well as radome effect. In these techniques, stochastic algorithms such as simulated annealing in Zhou et al (2020), genetic algorithm and particle swarm optimization (PSO) in Dai et al (2021) are applied to find the optimized excitation amplitudes and phases for improved pattern performance.…”

mentioning

confidence: 99%

“…In Dai et al (2021) and Zhou et al (2020), the concept of AEPs is extended where all the AEPs are obtained by fullwave simulating the practical antenna array-radome structure to include antenna element mutual coupling as well as radome effect. In these techniques, stochastic algorithms such as simulated annealing in Zhou et al (2020), genetic algorithm and particle swarm optimization (PSO) in Dai et al (2021) are applied to find the optimized excitation amplitudes and phases for improved pattern performance. Despite their success, these stochastic algorithms are time consuming since a large number of array pattern calculations based on direct summation of all the different AEPs are used.…”

mentioning

confidence: 99%

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Efficient and Accurate Pattern Synthesis for Radome‐Enclosed Planar Arrays Using Iterative FFT via Two‐Dimensional Least‐Square Active Element Pattern Expansion

et al. 2023

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Antenna systems are of great importance for communication, sensing, radar systems, and etc. For example, in wireless communications, multiple input multiple output antenna systems have been widely studied to meet the requirements of the fifth generation mobile communication (Alibakhshikenari, Virdee, Benetatos, et al., 2022), and some metamaterial-based antenna systems are attractive for further millimeter-wave (mm-wave) and terahertz (THz) wireless communications Alibakhshikenari, Virdee, Althuwayb, et al., 2021). In radar systems, phased arrays are widely used because of their pattern mainlobe shape and sidelobe level (SLL) control capability, as well as some other superior properties (Fenn et al., 2000;Kouemou, 2010). However, it is known that antenna arrays are usually used together with radomes which protect antenna arrays from the influence of outside environments in practice. The presence of the radome usually degrades the pattern performance of the antenna array (Frech et al., 2013;L. Liu & Nie, 2019). Thus, to suppress the radome effect, a number of techniques have been presented for optimizing radome's parameters such as its shape and thickness distribution (Hsu et al., 1993;Xu et al., 2017). However, the freedom of radome optimization is sometimes very limited since the radome should also meet other requirements such as its mechanical strength and electromagnetic scattering characteristics. Compared with the modification of a radome, optimizing element excitation amplitudes and phases by considering the antenna array-radome as a whole system would be a more convenient alternative to compensate for the radome effect if a phased antenna array is considered.In the past, many array pattern synthesis methods have been presented, but most of them deal only with the array factor synthesis, ignoring the mutual coupling (Ares-

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Efficient and Accurate Pattern Synthesis for Radome‐Enclosed Planar Arrays Using Iterative FFT via Two‐Dimensional Least‐Square Active Element Pattern Expansion

et al. 2023

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“…Usually, the existence of radome alters the radiation pattern and near‐field properties of the enclosed antennas to some extent (He, 2008; Kozakoff, 2010). Thus, to achieve optimal design of the entire radome‐enclosed antenna (REA) system, it is necessary to evaluate its overall electromagnetic (EM) performance before fabrication (Liu & Nie, 2019; Zhou et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Fast and Efficient Analysis of Receiving Antennas Enclosed by Variable‐Thickness Radome

Wang

Ji³

et al. 2023

Radio Science

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In this paper, the full‐wave volume‐surface integral equation (VSIE), the modified surface integration (MSI) method, and the ray‐tracing process are combined to efficiently analyze the electromagnetic performance of receiving antennas enclosed by radome with variable thickness. The mutual interactions between the antenna and the radome are considered by coupling the VSIE and MSI in a nested iterative manner, in which the VSIE is applied to model the complex antenna with composite conductor‐dielectric structure, while the MSI method is used to deal with the large‐size dielectric radome. To improve modeling accuracy of the MSI method for multilayered radome with variable thickness, the ray‐tracing technique is incorporated to calculate the angles of incidence and refraction at each interface and the local thickness of the dielectric wall for each sampling ray and then the local transmission matrix. Numerical results illustrate the accuracy and effectiveness of the proposed method.

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Dimensionality-reduced antenna modeling with stochastically established constrained domain

Pietrenko‐Dabrowska

Koziel

2023

Knowledge-Based Systems

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Radiation Pattern Recovery of the Impaired-Radome-Enclosed Antenna Array

Cited by 13 publications

References 19 publications

Efficient and Accurate Pattern Synthesis for Radome‐Enclosed Planar Arrays Using Iterative FFT via Two‐Dimensional Least‐Square Active Element Pattern Expansion

Efficient and Accurate Pattern Synthesis for Radome‐Enclosed Planar Arrays Using Iterative FFT via Two‐Dimensional Least‐Square Active Element Pattern Expansion

Fast and Efficient Analysis of Receiving Antennas Enclosed by Variable‐Thickness Radome

Dimensionality-reduced antenna modeling with stochastically established constrained domain

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