Analysis and synthesis of supershaped dielectric lens antennas

Bia, Pietro; Caratelli, Diego; Mescia, Luciano; Gielis, Johan

doi:10.1049/iet-map.2015.0091

Cited by 47 publications

(30 citation statements)

References 18 publications

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“…On the other hand, the nature of the fractional order operators modelling the dielectric response enables its incorporation into time‐domain Maxwell's equations. Finally, applying a dedicated optimization algorithm based on the enhanced weighted quantum particle swarm optimization and a suitable relative error function the free parameters

b_{k, i}, β_{k, i}, τ_{k, i}, K, N

can be evaluated. This method is versatile because its capability to deal with every data, it can reproduce fine details, and it proved to feature superior effectiveness in terms of convergence rate and accuracy in comparison with alternative evolutionary stochastic search methods available in the scientific literature .…”

Section: Dielectric Function Modelsmentioning

confidence: 99%

Fractional‐Calculus‐Based Electromagnetic Tool to Study Pulse Propagation in Arbitrary Dispersive Dielectrics

Mescia

Bia

Caratelli

2018

Physica Status Solidi (a)

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Fractional calculus is a fruitful field of research in science and engineering. The concept of fractional exponents is an outgrowth of exponents with integer value. In the same way, fractional order of integration is a generalization of the mathematical operations of differentiation and integration to arbitrary, general, noninteger order. Although it better models the higher complexity by nature, it is still fairly easy to physically represent its meaning. However, taking in consideration that the study of fractional calculus theory opens the mind to entirely new branches of thought, in this feature article the authors illustrate as such concept can be an interesting and useful tools in electromagnetic theory to solve specific electromagnetic problems regarding the wave propagation and radiation in arbitrary dispersive dielectric materials. In particular, time fractional Maxwell's equations for media with power‐law frequency dispersions are illustrated focusing the attention on the mathematical and computational topics. Moreover, practical examples highlighting their usefulness for understanding a variety of electromagnetic phenomena are provided.

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b_{k, i}, β_{k, i}, τ_{k, i}, K, N

Section: Dielectric Function Modelsmentioning

confidence: 99%

Fractional‐Calculus‐Based Electromagnetic Tool to Study Pulse Propagation in Arbitrary Dispersive Dielectrics

Mescia

Bia

Caratelli

2018

Physica Status Solidi (a)

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“…Dielectric data of several bulk tissues in a wide frequency range have been reported in the literature [32,33]. Therefore, to estimate the dielectric properties in a desired frequency range, these experimental results have been fitted using (1) and minimizing the error function, E , by means of a dedicated numerical procedure based on the enhanced weighted quantum particle swarm optimization (EWQPSO) [34]:…”

Section: Complex Permittivitymentioning

confidence: 99%

Fractional Calculus Based FDTD Modeling of Layered Biological Media Exposure to Wideband Electromagnetic Pulses

Mescia

Bia²,

Chiapperino

et al. 2017

Electronics

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Electromagnetic fields are involved in several therapeutic and diagnostic applications such as hyperthermia and electroporation. For these applications, pulsed electric fields (PEFs) and transient phenomena are playing a key role for understanding the biological response due to the exposure to non-ionizing wideband pulses. To this end, the PEF propagation in the six-layered planar structure modeling the human head has been studied. The electromagnetic field and the specific absorption rate (SAR) have been calculated through an accurate finite-difference time-domain (FDTD) dispersive modeling based on the fractional derivative operator. The temperature rise inside the tissues due to the electromagnetic field exposure has been evaluated using both the non-thermoregulated and thermoregulated Gagge's two-node models. Moreover, additional parametric studies have been carried out with the aim to investigate the thermal response by changing the amplitude and duration of the electric pulses.

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“…In [26], Sun et al introduce quantum theory into PSO and put forward a quantum-behaved PSO (QPSO) algorithm, which outperforms PSO in search ability and has fewer parameters to control. QPSO and its improved model have been applied in many ways [27,28]. The enhanced weighted quantum PSO (EWQPSO) has been developed to perform the design of the supershaped lens antennas yielding optimal antenna performance [27] and the random local optimized QPSO (RLQPSO) has been used in fast threshold image segmentation [28].…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

“…QPSO and its improved model have been applied in many ways [27,28]. The enhanced weighted quantum PSO (EWQPSO) has been developed to perform the design of the supershaped lens antennas yielding optimal antenna performance [27] and the random local optimized QPSO (RLQPSO) has been used in fast threshold image segmentation [28]. In [29][30][31], QPSO was applied to ELM to improve the algorithm performance.…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Radar Target Classification Using an Evolutionary Extreme Learning Machine Based on Improved Quantum‐Behaved Particle Swarm Optimization

Zhao¹,

Liu²,

Huang³

et al. 2017

Mathematical Problems in Engineering

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A novel evolutionary extreme learning machine (ELM) based on improved quantum-behaved particle swarm optimization (IQPSO) for radar target classification is presented in this paper. Quantum-behaved particle swarm optimization (QPSO) has been used in ELM to solve the problem that ELM needs more hidden nodes than conventional tuning-based learning algorithms due to the random set of input weights and hidden biases. But the method for calculating the characteristic length of Delta potential well of QPSO may reduce the global search ability of the algorithm. To solve this issue, a new method to calculate the characteristic length of Delta potential well is proposed in this paper. Experimental results based on the benchmark functions validate the better performance of IQPSO against QPSO in most cases. The novel algorithm is also evaluated by using real-world datasets and radar data; the experimental results indicate that the proposed algorithm is more effective than BP, SVM, ELM, QPSO-ELM, and so on, in terms of real-time performance and accuracy.

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Analysis and synthesis of supershaped dielectric lens antennas

Cited by 47 publications

References 18 publications

Fractional‐Calculus‐Based Electromagnetic Tool to Study Pulse Propagation in Arbitrary Dispersive Dielectrics

Fractional‐Calculus‐Based Electromagnetic Tool to Study Pulse Propagation in Arbitrary Dispersive Dielectrics

Fractional Calculus Based FDTD Modeling of Layered Biological Media Exposure to Wideband Electromagnetic Pulses

Radar Target Classification Using an Evolutionary Extreme Learning Machine Based on Improved Quantum‐Behaved Particle Swarm Optimization

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