Wide and multiband antenna design using the genetic algorithm to create amorphous shapes using ellipses by lance griffiths, you chung chung, and cynthia furse. Genetic algorithm optimization for microstrip patch antenna. Recall that our antenna system consists of three sections, each containing eight complex weights i. Military antenna design using simple and competent genetic. Keywords antenna arrays, patch antennas, antenna optimizations, genetic algorithms, multilevel fast multipole algorithm. Examples of patch antenna enhancements using genetic algorithm optimizers a gabased optimizer was used to create feedline networks for different shapes of patch antennas. Optimization of capacity of mimo antenna based wireless. How is genetic programming used in antenna and circuit. The width w of the patch affects the frequency only slightly, but greatly impacts the impedance of the antenna.
Genetic algorithm ga is a powerful optimization technique useful in a wide area of electromagnetics 8,9. Genetic algorithm optimization applied to planar and wire. A highdirectivity microstrip patch antenna design by using genetic algorithm optimization jeevani w. The introduced antenna is designed for wlan and wimax applications. In this paper genetic algorithm optimization technique has been utilized in hfss software for optimization of the aperture coupled patch antenna dimensions in order to achieve better return loss and height directivity. The results obtained are more stable and having higher fitness. As a method to enhance bandwidth two types of slots, namely a rectangu.
Genetic algorithm, particle swarm optimization and accelerated particle swarm optimization is dealt with. All the parameters, that is, the, thickness of the patch,bias magnetic field and the. A representative patch antenna design example for com. Index termsantenna arrays, genetic algorithms gas, microstrip antennas, optimization methods, phased arrays. Examples of patch antenna enhancements using geneticalgorithm optimizers a gabased optimizer was used to create feedline networks for different shapes of patch antennas. Genetic algorithm optimization of a highdirectivity. The operating frequency of the microstrip patch antenna with 10. The eshaped patch antenna is stacked over two layers. A uhf wide bandwidth omnidirectional wire antenna based on. Method of application of genetic algorithm to the magnetized ferrite microstrip antenna and computed results the magnetized ferrite circular patch microstrip antenna is assumed to be operating at tm11 mode. In this paper, genetic algorithm is used to design patch geometry for wlan 2. Two different wire antennas are designed to be used for jamming gsm frequencies using genetic algorithm. Genetic algorithm optimization of broadband microstrip antenna. Genetic programming gp 1 applies the genetic algorithm to a population of computer programs.
International journal of antennas and propagation hindawi. This procedure has been used in recent years to design a few antennas for missioncritical applications involving stringent, conflicting, or unusual design requirements, such as. A comparison of genetic programming with genetic algorithms. The microstrip patch antenna is designed to operate in c band with the centre frequency at 7ghz. In radio communications, an evolved antenna is an antenna designed fully or substantially by an automatic computer design program that uses an evolutionary algorithm that mimics darwinian evolution. Automated antenna design with evolutionary algorithms. In the following sections a brief overview of all the algorithms are given followed by the verification of the results. The approach is based on dividing the surface of the patch antenna into. In contrast, binomial arrays usually possess the smallest sidelobes fol.
Design of lowprofile highgain ebg resonator antennas. A design study of 5g antennas optimized using genetic. I am working on fractals and i am using ga for optimization of my patch antenna. Genetic algorithm optimization for microstrip patch. When compared with simple ga, the proposed algorithm shows faster convergence. An example of an evolved antenna is an xband antenna evolved for a 2006 nasa mission called space technology 5 st5. As can be seen, the input matching bandwidth, determined by 10 db of s11, is 11. The proposed algorithm consists of the simple ga with new adaptive mutation mechanism. Optimization of the performance of patch antennas using. It is followed, in ord er, by the dolphchebyshev and binomial arrays. The genetic algorithm shown in figure ga is used to generate antenna designs. Design and optimization of aperture coupled microstrip. Patch antenna the mobile mark button patch antennas are available in models for 802. This book introduces the first step toward the implementation of the first new invented ghost radar at the world.
A genetic algorithm usually encodes each parameter in a binary sequence called ii gene and places the genes in an array known as a chromosome. Integration of genetic algorithm to the proposed metamaterials antenna yields an enhanced gain of 7. Implementation of the simple genetic algorithm sga this section describes our first optimization approach, which involves the implementation of a simple genetic algorithm sga. Reasonable agreement between simulated results and measured results of the gaoptimized design is obtained. Free genetic algorithm antenna matlab download matlab genetic algorithm antenna script top 4 download offers free software downloads for windows, mac, ios and android computers and mobile devices. Pdf in this paper, a novel shaped microstrip patch antenna fed by microstrip lines. It explains how the genetic algorithm is implemented through actual antenna arrays for direction of arrival estimation algorithm within the smart antenna systems. Pdf an optimized shaped antenna for multiband applications. A novel dual band antenna design for wifi applications using genetic algorithms. The radiating patch and the feed lines are usually photoetched on the dielectric substrate howell, 1975. All these techniques are used for the feed point optimization of microstrip patch antenna. The top view of the fabricated prototype of the ebg antenna is shown in fig. A novel dual band antenna design for wifi applications using. A highdirectivity patch antenna with broadside directiv.
An optimisation technique for this stacked unit based on genetic algorithm is also proposed in this paper. Genetic algorithm optimization for broadband patch antenna. Keywordcircular patch antenna, directivity, genetic algorithm, hfss, rectangular patch antenna, return loss, triangular patch antenna. Triband microstrip antenna design for wireless communication. A new project based on ga and high frequency simulation software hfss is proposed to perform optimization. Wire antennas optimized using genetic algorithm sciencedirect. A new slotted microstrip patch antenna with improved bandwidth and gain is proposed.
The aim of the optimization is to evolve a program that, when evaluated. He also found many antenna designs with similar fitness but of. Genetic algorithm optimization and performance comparative. The ebg antenna is excited by a rectangular patch antenna. Optimizations of patch antenna arrays using genetic. Over roughly the same period, researchers at the illinois genetic algorithm laboratory illigal at the university of illinois at. Genetic algorithms in antennas and smart antennas design. The mission consists of three satellites that will take measurements in earths magnetosphere. He also found many antenna designs with similar fitness but of very different geometry. A method for reducing the size of microstrip patch antennas by up to 75% by. Wide and multiband antenna design using the genetic.
Supernec, which is an antenna analysis and electromagnetic simulation program, is used in conjunction with the genetic algorithm. The simulated and measured results indicate that the antenna has many advantages such as ultrawide band from 30 mhz to 512 mhz, the vswr of the antenna is below 2. However, rectangular patch antenna is more directive, it has 9 db in directivity and 61 in radiation beamwidth at eplane. Therefore, the design of highdirectivity microstrip patch antennas is a challenging task.
The second shows a twinpatch antenna and its corresponding feedline. Application of genetic algorithm for optimization of. A uniform array yields the smallest beamwidth and the highest directivity. As a method to enhance bandwidth two types of slots, namely a rectangu gain and bandwidth optimization of a novel microstrip patch antenna ieee conference publication. Touhami, and tajeddin elhamadi abstractthe miniaturization of the patch antenna has become an important issue in reducing the volume of entire communication system. Most practitioners use the genetic algorithm technique or some variant thereof to evolve antenna designs. Aerospace component design is an expensive and important step in space development. In this paper we propose a stacked antenna consisting of two layers of eshaped patches feddriven patch and parasitic patch for wifi applications. The optimized patch design exhibits a threefold enhancement in bandwidth when. Laboratory results are largely consistent with simulation. Uduwawala4 1department of electronics, wayamba university of sri lanka, kuliyapitiya, sri lanka 2technology and intellectual property rights department, fractus, barcelona, spain.
Villegas, member, ieee, tom cwik, fellow, ieee, yahya rahmatsamii, fellow, ieee, and majid manteghi, member, ieee abstractin this paper, we describe an electromagnetic genetic algorithm ga optimization ego application developed for the cluster supercomputing platform. Gain and bandwidth optimization of a novel microstrip. The genetic algorithm optimization gao is a promising method to overcome these limitations in antenna design 8 9101112. The computed results are in good agreement with the results obtained experimentally. Optimization of metamaterialsbased wifi antenna using. Genetic optimization routines are developed on matlab environment for these designs. Optimisation ensures that the proposed antenna has optimum performance at the. Ga has been used to enhance the performance of microstrip patch antennas mpas by optimizing the bandwidth, multifrequency, directivity, gain, size 511 etc. The fitness function plays a vital role in the successful. A parallel electromagnetic geneticalgorithm optimization faculty.
For instance, x,y32,1 can be encoded as chromosome 0000000 1. This paper introduces a novel rectangular triband patch antenna that is fabricated and. Optimisation ensures that the proposed antenna has. The antenna is fed at the middle and lumped elements are loaded at appropriate location. Automatic synthesis of a wire antenna using genetic programming. Apr 22, 2010 genetic algorithm ga is utilized to design microstrip patch antenna shapes for broad bandwidth. Over the past decade, the air force research laboratory afrl antenna technology branch at hanscom afb has employed the simple genetic algorithm sga as an optimization tool for a wide variety of antenna applications. The antenna geometry was only loosely constrained by the antenna size, excitation source, number of wires, and presence of a ground plane. The antennas show the ability of the genetic algorithm to allow the designer to optimize an antenna for several different criteria at once, and to create new antennas with very little information from the designer other than general constraints and the desired performance characteristics. Genetic algorithms belong to a stochastic class of evolutionary techniques, whose robustness and global search of the solutions space have made them extremely popular among researchers. Gain and bandwidth optimization of a novel microstrip patch. The approach is based on dividing the surface of the patch antenna into pixels.
A single highdirectivity microstrip patch antenna mpa having a rectangular profile, which can substitute a linear array is proposed. The first image shows a rectangular patch and its corresponding feedline. The multiobjective feature allows the algorithm to be a. Genetic algorithms belong to a stochastic class of evolutionary techniques, whose. He earned an award as the tau beta pi teacher of the year. This antenna was then measured in our spherical nearfield. Genetic programming is an extension of the genetic algorithm holland 1975. A uhf wide bandwidth omnidirectional wire antenna based. Genetic algorithm in microstrip antenna using matlab. Download links are directly from our mirrors or publishers website, genetic algorithm antenna torrent files or shared files. The second shows a twin patch antenna and its corresponding feedline.
Genetic algorithm optimization technique has been utilized in hfss software for optimization of the aperture coupled patch antenna dimensions in order to achieve better return loss and height directivity. Top 4 download periodically updates scripts information of genetic algorithm antenna full scripts versions from the publishers, but some information may be slightly outofdate using warez version or not proper genetic algorithm antenna script install is risk. Abstract the application of genetic algorithm ga to the. Design and optimization of aperture coupled microstrip patch. Genetic algorithm ga is utilized to design microstrip patch antenna shapes for broad bandwidth. Genetic algorithm and actual antenna array systems.
Various existing optimization algorithms can come handy in this case and genetic algorithm which is one of the global optimization algorithms has been used widely in the past by antenna designers 4 for the optimization of the patch shape and size in order to achieve better overall performance of the antenna. It is based on the darwinian concepts of natural selection and evolution. There have been a number of research papers that use ga optimization to find optimum spacing between antenna array elements in a phased array for desired beam patterns or side lobe level reduction. They have been successfully applied to electromagnetic optimization, including antenna design as well as smart antennas design.
Design of nonuniform antenna arrays using genetic algorithm. Ga optimization of highdirectivity microstrip patch antennas and miniature. Using a genetic algorithm, linden produced a 7wire antenna with unusual shape that had a radiation pattern that varied by less than 4 db over the desired angles. It is designed by using genetic algorithms with the advantage of not requiring a feeding network. The microstrip patch antenna is designed to operate in c band with the centre frequency at 7ghz and various important performance metrics of the. In this paper, a small ultrawide antenna is proposed based on the genetic algorithms and mom. Jan 21, 2020 integration of genetic algorithm to the proposed metamaterials antenna yields an enhanced gain of 7. In this paper, extensive reference to literature related antenna design efforts. This paper describes a microstrip patch antenna embedded with ssrr structures in the ground plane for ism applications. Microstrip patch antenna was designed for wide band applications with dielectric material thickness of 2 mm.
The input matching has been measured and shown in fig. Mobile mark designs and supplies a wide range of small, low profile patch antennas for the wireless lan industries and other wireless network applications. The circular patch microstrip antenna was modeled using the cavity method of analysis and the fitness functions to optimize the gain and efficiency were obtained. The miniaturization of the patch antenna has become an important issue in. Introduction a patch antenna is a metallic strip or a patch mounted on a dielectric layer substrate, which is supported by a ground plane. Gross worked with the mitre corporation, georgia tech research. Design of lowprofile highgain ebg resonator antennas using. Automatic synthesis of a wire antenna using genetic. The algorithm is demonstrated on designing low sidelobe phase tapers, circularly polarized patch antennas, and identically thinned subarrays. Acsfed triband microstrip monopole antenna for wlanwimax applications. In this case, antenna was assumed to be operating in the fundamental tm11 mode. What i am thinking is to first perform a number of.
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