Array synthesis for optimal wireless power systems

Rocca, Paolo; Oliveri, Giacomo; Massa, Andrea

doi:10.1109/aps.2014.6905029

Cited by 2 publications

(3 citation statements)

References 23 publications

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“…Eq. (7) indicates that every array distribution has a corresponding optimal weight. The array excitation can thus be optimized via the optimization of the array distribution.…”

Section: Snandpa Synthesis Of Transmitting Arraymentioning

confidence: 99%

“…MPT can wirelessly deliver energy from one location to another inaccessible or hazardous location [1][2][3][4][5]. Many scholars have investigated MPT systems [6][7][8][9][10] as per their wide range of potential application scenarios. The transmitting antenna and rectenna are two necessary components for an MPT system; the first concentrates radiated power toward a faraway receiver, while the second collects and converts incoming microwave power [9,10].…”

Section: Introductionmentioning

confidence: 99%

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Novel Sparse Planar Array Synthesis Model for Microwave Power Transmission Systems With High Efficiency and Low Cost

Li¹,

Chang²

2021

PIER C

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A novel algorithm is developed to realize the optimal synthesis of a sparse nonuniformamplitude nonuniform-distribution planar array (SNANDPA) in microwave power transmission (MPT) systems. The dual compression factor particle swarm optimization (DCFPSO) algorithm and the subarray partition technique are adopted to realize the optimal synthesis of SNANDPA. The DCFPSO algorithm first optimizes beam collection efficiency (BCE ) and side-lobe level outside the receiving region (CSL) of SNANDPA which ensure efficient energy transmission of an MPT system and suppress the influence of electromagnetic wave radiated by antenna array on the environment. The subarray partition technique then simplifies the feed network to minimize the system cost. SNANDPA parameters including transmitting aperture, receiving aperture, BCE, CSL, power pattern, element weight, and element distribution, can be obtained efficiently via the proposed method. Representative numerical cases under the different numbers of subarray and elements conditions are analyzed and compared with those of other two traditional MPT array models. Experimental results show that, when the transmitting aperture is 4.5λ × 4.5λ and the square receiving region u 0 = v 0 = 0.2, BCE and CSL are 94.96% and −17.09 dB, respectively, and only 64 elements and 8 amplifiers are required. We conclude that the proposed model can be used to create an efficient and low-cost MPT system.

show abstract

“…Eq. (7) indicates that every array distribution has a corresponding optimal weight. The array excitation can thus be optimized via the optimization of the array distribution.…”

Section: Snandpa Synthesis Of Transmitting Arraymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Novel Sparse Planar Array Synthesis Model for Microwave Power Transmission Systems With High Efficiency and Low Cost

Li¹,

Chang²

2021

PIER C

View full text Add to dashboard Cite

show abstract

“…Two strategies have been investigated, namely the clustering of the elements into sub-arrays in order to reduce the number of amplifiers and phase shifters/delay units, and the use of irregular (e.g. sparse) array layouts in order to minimize the number of radiating elements [38]. The optimization of the DoFs of the arrays has been carried out by means of ad-hoc design methodologies.…”

Section: F Design and Optimization Of Phased Arrays For Long-range Wptmentioning

confidence: 99%

Europe and the Future for WPT : European Contributions to Wireless Power Transfer Technology

Team¹

2017

IEEE Microwave

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Array synthesis for optimal wireless power systems

Cited by 2 publications

References 23 publications

Novel Sparse Planar Array Synthesis Model for Microwave Power Transmission Systems With High Efficiency and Low Cost

Novel Sparse Planar Array Synthesis Model for Microwave Power Transmission Systems With High Efficiency and Low Cost

Europe and the Future for WPT : European Contributions to Wireless Power Transfer Technology

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