A highdirectivity microstrip patch antenna design by using genetic algorithm optimization jeevani w. Design and optimization of aperture coupled microstrip. I am working on fractals and i am using ga for optimization of my patch antenna. A resonant frequency formula of bowtie antenna and its. The result is that the designed antenna array exhibits the largest directivity as compared to the uniform, binomial and dolphchebyshev arrays.
Genetic algorithm for geometry optimization of optical. Meanwhile, adding punish function to fitness function is proposed to develop the bandwidth and improve the resonant frequency to desired frequency. The method is demonstrated using an example design and a prototype single layer ebg resonator antenna that achieves a gain of over 21 db, which is normally reached only by a multilayer ebg antenna if the. The miniaturization of the patch antenna has become an important issue in reducing.
Pdf a highdirectivity microstrip patch antenna design. The aim of the optimization is to evolve a program that, when evaluated, produces behavior as close as possible to some desired goal. Cavity method, circular ferrite microstrip antenna, genetic algorithm, magnetically biased. Design of nonuniform antenna arrays using genetic algorithm. The slot position is obtained by the genetic algorithm ga. An example of an evolved antenna is an xband antenna evolved for a 2006 nasa mission called space technology 5 st5. Haupt the pennsylvania state university applied research laboratory p. Microstrip square patch antenna using cst by shamsur rahman akash. Genetic algorithm for geometry optimization of optical antennas r.
The design of a broadband patch antenna is a good candidate problem for genetic algorithm optimizers because a large number of discrete and continuous and dependent parameters exist that are easily handled with gaoptimizers. Free genetic algorithm antenna matlab download matlab. What i am thinking is to first perform a number of. The calculator views each portfolio as a kind of life form. An empirical formula for the resonant frequency of bowtie microstrip antennas is presented, which is based on the cavity model of microstrip patch antennas. The antenna positioning problem app is one of the most determinant optimisation issues that engineers face during network life cycle. Genetic algorithm in microstrip antenna using matlab. A dualband microstrip patch antenna was designed using genetic. Uduwawala4 1department of electronics, wayamba university of sri lanka, kuliyapitiya, sri lanka 2technology and intellectual property rights department, fractus, barcelona, spain.
A highdirectivity microstrip patch antenna design by using genetic algorithm optimization article pdf available in progress in electromagnetics research c 374. Their low profile design, often square or rectangular, allows them to be mounted to flat surfaces. Ga optimization for rfid broadband antenna applications abstract this paper examines genetic algorithm optimizers in antenna design. A comparison between results of the two antennas is done. Mom to design wide and dualband patch antennas by removing metal cells from a standard design 4. The ga was then coupled with the method of moments. It is designed by using genetic algorithms with the advantage of not requiring a feeding network. A quantuminspired genetic algorithm for solving the antenna.
Research article nonuniform overlapping method in designing microstrip patch antennas using genetic algorithm optimization j. Genetic algorithm optimization of a highdirectivity. Wide and multiband antenna design using the genetic algorithm to. The fitness function plays a vital role in the successful. This antenna does not take any much extra size and can be etched on the same mobile pcb itself. A genetic algorithm was used to determine the patch length and width and feeding point in the design of a coaxially fed circularly polarized rectangular patch antenna 3.
Microstrip patch antenna is used in mobile handset due to simple look, lower cost, small size and light in weight. Microstrip antenna is gathering a lot of interest in communication systems. Keywordcircular patch antenna, directivity, genetic algorithm, hfss, rectangular patch antenna, return loss, triangular patch antenna. In the following sections a brief overview of all the algorithms are given followed by the verification of the results. Genetic algorithm optimization and performance comparative. This paper describes a genetic algorithm ga that optimizes chromosomes. Genetic algorithm for geometry optimization of optical antennas.
Microstrip patch antenna is one of the important elements in modern wireless communication systems and hence its design optimization is an. Genetic algorithm optimization for microstrip patch antenna. Multiobjective optimization with genetic algorithm. 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. In this paper, an improved ga based on the reference 19 is applied to synthesis of the linear antenna array. However, rectangular patch antenna is more directive, it has 9 db in directivity and 61 in radiation beamwidth at eplane. Genetic algorithm, particle swarm optimization and accelerated particle swarm optimization is dealt with. The microstrip patch antenna is designed to operate in c band with the centre frequency at 7ghz and various important performance metrics of the. All the parameters, that is, the, thickness of the patch,bias magnetic field and the. The basic objective is to have narrow beam widths in heavy handoff areas and wider beam widths in areas with low traffic density.
Genetic algorithm in broadband microstrip antenna design ijarcce. Genetic programming gp 1 applies the genetic algorithm to a population of computer programs. Pasternacks microstrip patch antenna calculator determines the length and width in millimeters of a rectangular patch antenna. To modify the expressions for the input impedances of the antennas, continuous parameter genetic algorithm cpga has been used. Li 18 used hybrid genetic algorithm to synthesize the shapedbeam array antennas. International journal of antennas and propagation hindawi. Genetic algorithm optimization for microstrip patch. Genetic algorithm optimization for microstrip patch antenna miniaturization article in progress in electromagnetics research letters 60. Application of genetic algorithm for optimization of. In this paper genetic algorithm based optimization technique has been utilized in hfss software for optimization of the patch antenna dimensions in order to achieve better return loss and height directivity. Aerospace component design is an expensive and important step in. Patch antenna or microstrip patch antenna is one of the most commonly. Application of genetic algorithm to the optimization of.
A procedure to design a bowtie antenna using a genetic algorithm ga in which. Since the conventional ga easily gets stuck in local. 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. Ushaped slot on the patch of the coaxially fed rectangular patch antenna. Genetic algorithm optimization of broadband microstrip antenna. Introduction microstrip patch antennas of all shapes are widely used in communication systems where their small size, conformal geometry and low cost can be used to advantage. In the design, the genetic algorithm is employed to generate the excitation amplitudes of the antenna array.
However, antenna design has grown more stringent and difficult over the years with inherent tradeoffs that exist between gain, radiation pattern. A combined continuousbinary genetic algorithm for microstrip. Manjeet singh patterh ece punjabi university, patiala, punjab, india abstractthis technique for linear antenna array is used to optimize the sidelobe level and the null points. Military antenna design using simple and competent genetic. They have been successfully applied to electromagnetic optimization, including antenna design as well as smart antennas design. The present paper discusses an approach of using genetic algorithm for array thinning. This example shows how to use phased array system toolbox to solve some array synthesis problems. Genetic algorithm optimization applied to planar and wire. Synthesis of antenna array by complexvalued genetic.
Automated antenna design with evolutionary algorithms gregory s. Optimization of antenna array using genetic algorithm lovpreet sobat, prof. Keywords antenna arrays, patch antennas, antenna optimizations, genetic algorithms, multilevel fast multipole algorithm. Following equations or formula are used for this microstrip patch antenna calculator. Analysis of the microstrip patch antenna designed using genetic. Specifically, we evaluate whether ga optimizers are appropriate design techniques for rfid broadband antenna design by looking at current research with ga antennas and deducing whether. Keywords antenna arrays, uniform arrays, nonuniform. The design of a broadband patch antenna is a good candidate problem for geneticalgorithm optimizers because a large number of discrete and continuous and dependent parameters exist that are easily handled with gaoptimizers. The conventional patch antenna and the proposed patch antenna are designed and simulated using high frequency electromagnetic field simulation hfss software. This paper proposes a new variant of the quantuminspired genetic algorithm qiga based on a novel quantum gate for solving the app. Optimization of the performance of patch antennas using.
Touhami, and tajeddin elhamadi abstractthe miniaturization of the patch antenna has become an important issue in reducing the volume of entire communication system. Solving antenna array thinning problem using genetic algorithm. A uniform array yields the smallest beamwidth and the highest directivity. If the ratio lw is close to unity, the radiation pattern will be symmetric but may not provide a resonable input impedance. Design of broadband microstrip antenna utilizing genetic algorithm. Index terms cavity method, circular ferrite microstrip antenna, gain, genetic algorithm, magnetically biased. Genetic algorithms and method of moments gamom for the design of. The resonant frequency of microstrip antenna is shifted to the expanding bandwidth through slotting the patch. 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. Pdf in this paper, the design of a compact microstrip patch antenna using genetic algorithm ga based optimization is proposed for. It is followed, in ord er, by the dolphchebyshev and binomial arrays. The mission consists of three satellites that will take measurements in earths magnetosphere. Optimizations of patch antenna arrays using genetic.
Research article nonuniform overlapping method in designing. Genetic algorithm is a popular optimization technique and has been introduced for design optimization of microstrip patch antenna. In this paper, extensive reference to literature related antenna design efforts. A research for millimeter wave patch antenna and array. In phased array design applications, it is often necessary to find a way to taper element responses so that the resulting array pattern satisfies certain performance criteria. Genetic algorithm for the design of a reconfigurable antenna arrays by phaseonly control. 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. Abstract genetic algorithm combined with finite element software is applied to design a singlepatch broadband microstrip patch antenna in this paper. Miniaturization of rectangular microstrip patch antenna. The start population parameter tells the genetic algorithm how many portfolios to start with, and also what the target population should be. After discussing the basic concept involving antenna array, array thinning, dynamic thinning, and application methodology, simulation results of applying the technique to linear and planar arrays are presented. Design and optimization of aperture coupled microstrip patch. This paper presents design and analysis of an efficient uslot rectangular microstrip patch antenna for the application of wireless lan for operating frequency 2. Recall that our antenna system consists of three sections, each containing eight complex weights i.
A combined continuousbinary genetic algorithm for microstrip antenna design randy l. 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. This paper introduces a new application of genetic algorithm ga in dynamic sector synthesis of antenna array for mobile base transceiver station bts. Pdf design of uslot rectangular patch antenna for wireless. Abstract genetic algorithm ga is utilized to design microstrip patch antenna shapes for broad bandwidth. Optimization of antenna array using genetic algorithm.
Ga optimization for rfid broadband antenna applications. The first technique toward ghost defense radar yahia, ahmed, elkamchouchi, hassan on. In this paper, genetic algorithm has been used for optimization of resonant frequency of coaxially fed rectangular. Microstrip antenna optimization using genetic algorithms. Genetic algorithm and actual antenna array systems. Design of lowprofile highgain ebg resonator antennas using. Miniaturization of rectangular microstrip patch antenna using. Additional benefits of patch antennas is that they are easily fabricated.
Most practitioners use the genetic algorithm technique or some variant thereof to evolve antenna designs. Genetic algorithm ga is a popular optimization technique used in the design of performance improved microstrip patch antennas mpas. In this paper genetic algorithm has been used for optimization of inset feed rectangular, triangular and circular microstrip patch antennas dimensions, it was exactly used to optimize the rectangular patch length and. Various techniques used for the design of miniature antennas are proposed in 1011121415. A method for reducing the size of microstrip patch antennas by up to 75% by. The genetic algorithms calculator perceives these stocks as genes. Design of lowprofile highgain ebg resonator antennas.
A single highdirectivity microstrip patch antenna mpa having a rectangular profile, which can substitute a linear array is proposed. The parameters of a broadband patch antenna include. Microstrip patch antennas or simply patch antenna are increasingly useful because the antenna is printed directly onto a circuit board. For instance, x,y32,1 can be encoded as chromosome 0000000 1. Abstract the application of genetic algorithm ga to the. 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. This approach has been shown to have advantages over traditional. In contrast, binomial arrays usually possess the smallest sidelobes fol. The computed results are in good agreement with the results obtained experimentally. All these techniques are used for the feed point optimization of microstrip patch antenna. Additional benefits of patch antennas is that they are easily fabricated making them cost effective. Microstrip patch antenna calculator patch antenna formula. 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.