An example of an evolved antenna is an xband antenna evolved for a 2006 nasa mission called space technology 5 st5. A dualband microstrip patch antenna was designed using genetic. Laboratory results are largely consistent with simulation. Microstrip patch antenna calculator patch antenna formula.
International journal of antennas and propagation hindawi. Microstrip square patch antenna using cst by shamsur rahman akash. Design of broadband microstrip antenna utilizing genetic algorithm. A method for reducing the size of microstrip patch antennas by up to 75% by. Genetic programming gp 1 applies the genetic algorithm to a population of computer programs. If the ratio lw is close to unity, the radiation pattern will be symmetric but may not provide a resonable input impedance. 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. Wide and multiband antenna design using the genetic algorithm to. Design of lowprofile highgain ebg resonator antennas using. Genetic algorithm in microstrip antenna using matlab. Microstrip patch antennas or simply patch antenna are increasingly useful because the antenna is printed directly onto a circuit board.
The resonant frequency of microstrip antenna is shifted to the expanding bandwidth through slotting the patch. To modify the expressions for the input impedances of the antennas, continuous parameter genetic algorithm cpga has been used. Analysis of the microstrip patch antenna designed using genetic. This paper proposes a new variant of the quantuminspired genetic algorithm qiga based on a novel quantum gate for solving the app. 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. Genetic algorithm optimization for microstrip patch antenna miniaturization article in progress in electromagnetics research letters 60. Pasternacks microstrip patch antenna calculator determines the length and width in millimeters of a rectangular patch antenna. Multiobjective optimization with genetic algorithm. Genetic algorithm for the design of a reconfigurable antenna arrays by phaseonly control. It is designed by using genetic algorithms with the advantage of not requiring a feeding network. Ga optimization for rfid broadband antenna applications. Military antenna design using simple and competent genetic.
Genetic algorithm optimization of a highdirectivity. Various techniques used for the design of miniature antennas are proposed in 1011121415. A single highdirectivity microstrip patch antenna mpa having a rectangular profile, which can substitute a linear array is proposed. Pdf in this paper, the design of a compact microstrip patch antenna using genetic algorithm ga based optimization is proposed for. Genetic algorithm for geometry optimization of optical antennas r. Following equations or formula are used for this microstrip patch antenna calculator. This paper describes a genetic algorithm ga that optimizes chromosomes. The microstrip patch antenna calculator determines the length l and width w of a rectangular microstrip patch antenna for a given resonant frequency or vice versa. Genetic algorithm in broadband microstrip antenna design ijarcce.
Pdf design of uslot rectangular patch antenna for wireless. Automated antenna design with evolutionary algorithms. 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. The start population parameter tells the genetic algorithm how many portfolios to start with, and also what the target population should be. Uduwawala4 1department of electronics, wayamba university of sri lanka, kuliyapitiya, sri lanka 2technology and intellectual property rights department, fractus, barcelona, spain.
The antenna positioning problem app is one of the most determinant optimisation issues that engineers face during network life cycle. Additional benefits of patch antennas is that they are easily fabricated making them cost effective. In contrast, binomial arrays usually possess the smallest sidelobes fol. 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. Design of lowprofile highgain ebg resonator antennas. A quantuminspired genetic algorithm for solving the antenna.
The present paper discusses an approach of using genetic algorithm for array thinning. 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. They have been successfully applied to electromagnetic optimization, including antenna design as well as smart antennas design. Genetic algorithm and actual antenna array systems.
Their low profile design, often square or rectangular, allows them to be mounted to flat surfaces. Cavity method, circular ferrite microstrip antenna, genetic algorithm, magnetically biased. Most practitioners use the genetic algorithm technique or some variant thereof to evolve antenna designs. The fitness function plays a vital role in the successful. The conventional patch antenna and the proposed patch antenna are designed and simulated using high frequency electromagnetic field simulation hfss software. Ushaped slot on the patch of the coaxially fed rectangular patch antenna. The slot position is obtained by the genetic algorithm ga. A highdirectivity microstrip patch antenna design by using genetic algorithm optimization jeevani w. A uniform array yields the smallest beamwidth and the highest directivity. Genetic algorithm for geometry optimization of optical antennas. Research article nonuniform overlapping method in designing. The microstrip patch antenna is designed to operate in c band with the centre frequency at 7ghz and various important performance metrics of the. 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. The computed results are in good agreement with the results obtained experimentally.
Free genetic algorithm antenna matlab download matlab. 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. Genetic algorithm optimization of broadband microstrip antenna. The miniaturization of the patch antenna has become an important issue in reducing. All the parameters, that is, the, thickness of the patch,bias magnetic field and the. Microstrip antenna optimization using genetic algorithms. Abstract genetic algorithm combined with finite element software is applied to design a singlepatch broadband microstrip patch antenna in this paper. Genetic algorithm for geometry optimization of optical. A procedure to design a bowtie antenna using a genetic algorithm ga in which. Haupt the pennsylvania state university applied research laboratory p. The mission consists of three satellites that will take measurements in earths magnetosphere.
Meanwhile, adding punish function to fitness function is proposed to develop the bandwidth and improve the resonant frequency to desired frequency. Keywordcircular patch antenna, directivity, genetic algorithm, hfss, rectangular patch antenna, return loss, triangular patch antenna. Li 18 used hybrid genetic algorithm to synthesize the shapedbeam array antennas. A resonant frequency formula of bowtie antenna and its. Genetic algorithms and method of moments gamom for the design of.
Implementation of the simple genetic algorithm sga this section describes our first optimization approach, which involves the implementation of a simple genetic algorithm sga. Genetic algorithm optimization for microstrip patch. Abstract genetic algorithm is utilized in the optimization of microstrip antenna with complicated structure. 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. Aerospace component design is an expensive and important step in.
Recall that our antenna system consists of three sections, each containing eight complex weights i. This example shows how to use phased array system toolbox to solve some array synthesis problems. The basic objective is to have narrow beam widths in heavy handoff areas and wider beam widths in areas with low traffic density. Pdf a highdirectivity microstrip patch antenna design. 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. Genetic algorithm optimization applied to planar and wire. In this paper, extensive reference to literature related antenna design efforts.
The genetic algorithms calculator perceives these stocks as genes. In the design, the genetic algorithm is employed to generate the excitation amplitudes of the antenna array. All these techniques are used for the feed point optimization of microstrip patch antenna. A highdirectivity microstrip patch antenna design by using genetic algorithm optimization article pdf available in progress in electromagnetics research c 374. Optimization of the performance of patch antennas using. A research for millimeter wave patch antenna and array. However, antenna design has grown more stringent and difficult over the years with inherent tradeoffs that exist between gain, radiation pattern. The parameters of a broadband patch antenna include. Genetic algorithm optimization and performance comparative. Touhami, and tajeddin elhamadi abstractthe miniaturization of the patch antenna has become an important issue in reducing the volume of entire communication system.
Abstract genetic algorithm ga is utilized to design microstrip patch antenna shapes for broad bandwidth. Application of genetic algorithm for optimization of. An approach to the modified calculation for input impedance of inset. Research article nonuniform overlapping method in designing microstrip patch antennas using genetic algorithm optimization j. It is followed, in ord er, by the dolphchebyshev and binomial arrays. 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. Patch antenna or microstrip patch antenna is one of the most commonly. 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. Additional benefits of patch antennas is that they are easily fabricated. In this paper, genetic algorithm has been used for optimization of resonant frequency of coaxially fed rectangular. 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. The calculator views each portfolio as a kind of life form. 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. The aim of the optimization is to evolve a program that, when evaluated, produces behavior as close as possible to some desired goal.
Design and optimization of aperture coupled microstrip patch. Keywords antenna arrays, uniform arrays, nonuniform. Abstract the application of genetic algorithm ga to the. The first technique toward ghost defense radar yahia, ahmed, elkamchouchi, hassan on. Microstrip patch antenna is used in mobile handset due to simple look, lower cost, small size and light in weight. What i am thinking is to first perform a number of. For instance, x,y32,1 can be encoded as chromosome 0000000 1. Microstrip patch antenna is one of the important elements in modern wireless communication systems and hence its design optimization is an. This antenna does not take any much extra size and can be etched on the same mobile pcb itself. This paper introduces a new application of genetic algorithm ga in dynamic sector synthesis of antenna array for mobile base transceiver station bts. 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. 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. May 02, 2017 micro strip patch antenna optimization using genetic algorithm. Genetic algorithm is a popular optimization technique and has been introduced for design optimization of microstrip patch antenna. Genetic algorithm ga is a popular optimization technique used in the design of performance improved microstrip patch antennas mpas. I am working on fractals and i am using ga for optimization of my patch antenna. Index terms cavity method, circular ferrite microstrip antenna, gain, genetic algorithm, magnetically biased. Optimizations of patch antenna arrays using genetic. Mom to design wide and dualband patch antennas by removing metal cells from a standard design 4. 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. 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. Design of nonuniform antenna arrays using genetic algorithm.
A combined continuousbinary genetic algorithm for microstrip antenna design randy l. Miniaturization of rectangular microstrip patch antenna using. In the following sections a brief overview of all the algorithms are given followed by the verification of the results. Optimization of antenna array using genetic algorithm lovpreet sobat, prof. This paper presents design and analysis of an efficient uslot rectangular microstrip patch antenna for the application of wireless lan for operating frequency 2. Genetic algorithm optimization for microstrip patch antenna. Keywords antenna arrays, patch antennas, antenna optimizations, genetic algorithms, multilevel fast multipole algorithm. Solving antenna array thinning problem using genetic algorithm. An empirical formula for the resonant frequency of bowtie microstrip antennas is presented, which is based on the cavity model of microstrip patch antennas. Automated antenna design with evolutionary algorithms gregory s.
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. Synthesis of antenna array by complexvalued genetic. A comparison between results of the two antennas is done. A combined continuousbinary genetic algorithm for microstrip. Miniaturization of rectangular microstrip patch antenna. Microstrip antenna is gathering a lot of interest in communication systems. In this paper, an improved ga based on the reference 19 is applied to synthesis of the linear antenna array. Since the conventional ga easily gets stuck in local. The result is that the designed antenna array exhibits the largest directivity as compared to the uniform, binomial and dolphchebyshev arrays.