Multiobjective Particle Swarm Optimization of Boresight Error and Transmission Loss for Airborne Radomes

Xu, Wanye; Duan, Baoyan; Li, Peng; Hu, Naigang; Qiu, Yuanying

doi:10.1109/tap.2014.2352361

Cited by 48 publications

(23 citation statements)

References 19 publications

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“…But, these problems also have to be faced by traditional radomes and they can be solved by a reasonable structure design. 27 Therefore, in short, the novel approach proposed in this paper is a promising approach to mitigate the communication blackout problem.…”

Section: Discussionmentioning

confidence: 99%

A matching approach to communicate through the plasma sheath surrounding a hypersonic vehicle

Gao

Jiang

2015

Journal of Applied Physics

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A matching approach to communicate through the plasma sheath surrounding a hypersonic vehicle In order to overcome the communication blackout problem suffered by hypersonic vehicles, a matching approach has been proposed for the first time in this paper. It utilizes a double-positive (DPS) material layer surrounding a hypersonic vehicle antenna to match with the plasma sheath enclosing the vehicle. Analytical analysis and numerical results indicate a resonance between the matched layer and the plasma sheath will be formed to mitigate the blackout problem in some conditions. The calculated results present a perfect radiated performance of the antenna, when the match is exactly built between these two layers. The effects of the parameters of the plasma sheath have been researched by numerical methods. Based on these results, the proposed approach is easier to realize and more flexible to the varying radiated conditions in hypersonic flight comparing with other methods. V C 2015 AIP Publishing LLC. [http://dx.

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Section: Discussionmentioning

confidence: 99%

A matching approach to communicate through the plasma sheath surrounding a hypersonic vehicle

Gao

Jiang

2015

Journal of Applied Physics

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“…For instance, there are many applications about power [22][23][24], electromagnetic [25,26], and antenna [27][28][29] in the field of industrial engineering. The most popular applications in machinery are trajectory optimization [30], defect classification [31,32], and scheduling problems [33,34].…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

Ensemble learning particle swarm optimization for real-time UWB indoor localization

Cai

Zhang

2018

J Wireless Com Network

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This paper presents an ensemble learning particle swarm optimization (ELPSO) algorithm for real-time indoor localization based on ultra-wideband (UWB). Indoor localization problem can be formulated as an optimization problem to predict the target. The proposed algorithm expands the original PSO into ELPSO under superbest guide, which is a parameter employed to identify the top gbest by learning from three individual algorithms and updated asynchronously. The performance of the proposed ELPSO is evaluated by using the CEC2005 benchmark and compared with each individual algorithm and other state-of-the-art optimization algorithms. The feasibility of the proposed ELPSO is demonstrated in both 2D and 3D UWB indoor localization system generating promising results.

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“…[1][2][3][4]. Variable thickness design is effective in improving the electromagnetic (EM) performance of airborne radomes which is prone to be deteriorated by the adverse streamlined shapes [5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…rough thickness profile optimization using evolutionary computation (EC) techniques, such as particle swarm optimization (PSO) and genetic algorithm (GA), variable thickness radomes (VTRs) can yield excellent EM performance, such as transmission loss (TL) and boresight error (BSE) [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Efficient Variable Thickness Radome Design with Insertion Phase Delay Correction

Qiu

2019

International Journal of Antennas and Propagation

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Variable thickness design is capable of yielding excellent electromagnetic (EM) performance for streamlined airborne radomes. The traditional optimization method using evolutionary computation (EC) techniques can yield variable thickness radome (VTR) design with optimal EM performance but uncontrollable thickness profile, leading to manufacturing difficulties. Thickness profile design based on average incident angle is an efficient way for VTR design with smooth thickness profile, whereas the boresight error (BSE) is relatively large. In this work, insertion phase delay (IPD) correction is introduced in the efficient thickness profile design process to realize a better balance between EM performance and thickness profile smoothness of airborne radomes. The thickness profile obtained from average incident angle is adjusted for IPD distribution symmetry with respect to the antenna axis under scan angles with large BSE. Results indicate that the proposed method can effectively improve the BSE characteristics at the expense of slight deterioration of computational efficiency and thickness profile smoothness.

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Multiobjective Particle Swarm Optimization of Boresight Error and Transmission Loss for Airborne Radomes

Cited by 48 publications

References 19 publications

A matching approach to communicate through the plasma sheath surrounding a hypersonic vehicle

A matching approach to communicate through the plasma sheath surrounding a hypersonic vehicle

Ensemble learning particle swarm optimization for real-time UWB indoor localization

Efficient Variable Thickness Radome Design with Insertion Phase Delay Correction

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