Optimizing a PIFA Using a Genetic Algorithms Approach

Kouveliotis, N.K.; Panagiotou, S.C.; Varlamos, Pantelis K.; Dimousios, T.D.; Capsalis, Christos N.

doi:10.1163/156939308784160613

Cited by 9 publications

(11 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nevertheless, the bandwidth of each band depends on the complete hybrid device and it is not connected with only one parameter of the prototype. For this reason, the optimization process must take into account the variation of several parameters simultaneously [13][14][15].…”

Section: Numerical Simulation Results and Comparisonmentioning

confidence: 99%

“…Usually, the main problem of the optimization of antennas is that these devices must be simulated for each set of parameters, so the computation is usually time-consuming, and very few objective function evaluations are available to complete the optimization process in a reasonable time. In these conditions, soft-computing approaches work quite well, and specifically, there are several works in the literature applying novel meta-heuristics approaches, such as evolutionary computation algorithms to antennas optimization [13][14][15]. The good performance of these previous approaches even with the constrain of very few function evaluations, made us to consider a class of evolutionary computation algorithm to carry out the parameters' optimization of the hybrid PIFA-patch antenna.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid Pifa-Patch Antenna Optimized by Evolutionary Programming

Montero¹,

Salcedo‐Sanz²,

Portilla-Figueras³

et al. 2010

PIER

View full text Add to dashboard Cite

Abstract-In this paper we study the optimization process of a novel hybrid antenna, formed by a Planar Inverted-F Antenna (PIFA) and a coplanar patch in the same structure, and intended to be used in mobile communications and WIFI applications simultaneously. This hybrid device has been recently proposed and characterized in the literature, and it has been shown that it allows a bandwidth of 850 MHz (49%) in the lower band and 630 MHz (11.25%) in the upper band. In spite of these good performance results, the fine tuning of the joint PIFA-patch parameters in the hybrid antenna is a hard task, not easy to automatize. In this paper we propose the use of an Evolutionary Programming (EP) approach, an algorithm of the Evolutionary Computation family, which has been shown to be very effective in continuous optimization problems. We use a real encoding of the antenna's parameters and the CST Microwave Studio simulator to obtain the performance of the antenna. The simulator is therefore incorporated to the EP algorithm as a part of the antenna's evaluation process. We will show that the EP is able to obtain very good sets of parameters in terms of the designer necessities, usually a larger bandwidth at the design frequencies. In this case, the bandwidth of

show abstract

Section: Numerical Simulation Results and Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybrid Pifa-Patch Antenna Optimized by Evolutionary Programming

Montero¹,

Salcedo‐Sanz²,

Portilla-Figueras³

et al. 2010

PIER

View full text Add to dashboard Cite

show abstract

“…The EM-like algorithm based optimization scheme is easy to implement. Therefore, it is suitable not only for problems of antenna arrays, but also for many other nonlinear optimization problems in electromagnetic waves [10][11][12][13][14][15][16][17][18][19][20].…”

Section: Discussionmentioning

confidence: 99%

Application of Electromagnetism-Like Algorithm to Phase-Only Syntheses of Antenna Arrays

Lee¹,

Jhang²

2008

PIER

View full text Add to dashboard Cite

Abstract-In this paper, a novel stochastic approach, i.e., the electromagnetism-like (EM-like) algorithm, is applied to phase-only syntheses of antenna arrays. The goal is to minimize the pattern sidelobe under null-steering constraints by phase-only adjusting. The mechanism of EM-like algorithm results from the Coulomb's Law of Electromagnetics. It does not require gradient calculations, and can automatically converge at a good solution through the virtual charge of each particle. Simulation results show that the EM-like algorithm can well treat the phase-only optimization of antenna arrays. Although the null-steering constraints will affect the optimization in sidelobe reduction, it can be easily included in the EM-like based optimization scheme. The EM-like algorithm can be applied not only to problems of antenna arrays, but also to many other nonlinear optimization problems in electromagnetic waves.

show abstract

“…The complex signals of 16 beams are transferred to beamforming computer, where the phase and amplitude adjustment are put into practice. Since the beam coverage is fixed, the phase and amplitude excitation coefficients were calculated previously by Genetic Algorithm according to the predefined radiation patterns [11][12][13][14]. Hartley image-rejection structure is designed to eliminate the overlapping image frequency caused by DFT filter bank analyzer.…”

Section: Signal Processing Of Digtial Bfnmentioning

confidence: 99%

“…It can be conclude that the k-th beam will be aliased with the |k − 2| beam, as the center frequency of filter is at 12.5 MHz (k = 1). If we adopt the low-pass filter, the aliasing frequency can't be cancelled, because of the asymmetry property of each beam's spectrum [14,15].…”

Section: Hartley Image Rejection Structurementioning

confidence: 99%

A Semi-Physical Simulation System for DBF Transmitter Array on Leo Satellite

Li¹,

Gong²,

Liu³

et al. 2009

PIER

View full text Add to dashboard Cite

Abstract-This paper presents a semi-physical simulation system for 61-channel DBF array transmitter antenna on LEO satellite. It consists of a hardware platform for digital beamfoming network (BFN) and a software simulation system for DBF array. The background and wideband input interface are described, and the signal process of digital beamforming network is discussed in detail. General DFT filter bank, distributed arithmetic (DA) algorithm and Hartley image rejection structure are adopted to design the digital BFN, which make the calculation of BFN reduced by 98.41% and get the multiplier consumption decreased to 7.11%, compared with conventional algorithms. A novel digital BFN hardware platform with distributed structure is designed, which can complete the high speed array signal processing with maximum throughput of 32.025 Gbps. Ultimately, the measurements of semi-physical simulation system show good agreement with the ideal simulation result. The derivation of radiation pattern from energy distribution of earth's surface demonstrates that the DBF array has good performance on beam coverage with equal flux density and satisfies the application in mobile satellite communication.

show abstract

Optimizing a PIFA Using a Genetic Algorithms Approach

Cited by 9 publications

References 22 publications

Hybrid Pifa-Patch Antenna Optimized by Evolutionary Programming

Hybrid Pifa-Patch Antenna Optimized by Evolutionary Programming

Application of Electromagnetism-Like Algorithm to Phase-Only Syntheses of Antenna Arrays

A Semi-Physical Simulation System for DBF Transmitter Array on Leo Satellite

Contact Info

Product

Resources

About