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. Genetic algorithm optimization for microstrip patch. An example of an evolved antenna is an xband antenna evolved for a 2006 nasa mission called space technology 5 st5. Miniaturization of rectangular microstrip patch antenna using. Various techniques used for the design of miniature antennas are proposed in 1011121415. It is designed by using genetic algorithms with the advantage of not requiring a feeding network.
Abstract genetic algorithm combined with finite element software is applied to design a singlepatch broadband microstrip patch antenna in this paper. Application of genetic algorithm for optimization of. The antenna positioning problem app is one of the most determinant optimisation issues that engineers face during network life cycle. 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. Microstrip antenna optimization using genetic algorithms. Genetic algorithm for geometry optimization of optical antennas. Genetic algorithm for the design of a reconfigurable antenna arrays by phaseonly control. This paper introduces a new application of genetic algorithm ga in dynamic sector synthesis of antenna array for mobile base transceiver station bts. The calculator views each portfolio as a kind of life form. 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. Touhami, and tajeddin elhamadi abstractthe miniaturization of the patch antenna has become an important issue in reducing the volume of entire communication system.
Pasternacks microstrip patch antenna calculator determines the length and width in millimeters of a rectangular patch antenna. All the parameters, that is, the, thickness of the patch,bias magnetic field and the. Pdf design of uslot rectangular patch antenna for wireless. Keywords antenna arrays, uniform arrays, nonuniform. Automated antenna design with evolutionary algorithms. Genetic algorithm in microstrip antenna using matlab.
The slot position is obtained by the genetic algorithm ga. The conventional patch antenna and the proposed patch antenna are designed and simulated using high frequency electromagnetic field simulation hfss software. International journal of antennas and propagation hindawi. In the design, the genetic algorithm is employed to generate the excitation amplitudes of the antenna array. To modify the expressions for the input impedances of the antennas, continuous parameter genetic algorithm cpga has been used. Haupt the pennsylvania state university applied research laboratory p. Genetic algorithm in broadband microstrip antenna design ijarcce. In this paper, genetic algorithm has been used for optimization of resonant frequency of coaxially fed rectangular. The miniaturization of the patch antenna has become an important issue in reducing. Laboratory results are largely consistent with simulation. 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. The microstrip patch antenna is designed to operate in c band with the centre frequency at 7ghz and various important performance metrics of the. This approach has been shown to have advantages over traditional.
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 antennas r. Genetic algorithm optimization of a highdirectivity. Genetic algorithms and method of moments gamom for the design of. 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. Genetic algorithm and actual antenna array systems. A uniform array yields the smallest beamwidth and the highest directivity. Automated antenna design with evolutionary algorithms gregory s. A resonant frequency formula of bowtie antenna and its. Design of broadband microstrip antenna utilizing genetic algorithm. 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.
However, rectangular patch antenna is more directive, it has 9 db in directivity and 61 in radiation beamwidth at eplane. 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. Free genetic algorithm antenna matlab download matlab. Synthesis of antenna array by complexvalued genetic. What i am thinking is to first perform a number 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. Index terms cavity method, circular ferrite microstrip antenna, gain, genetic algorithm, magnetically biased.
This paper describes a genetic algorithm ga that optimizes chromosomes. Genetic programming gp 1 applies the genetic algorithm to a population of computer programs. Their low profile design, often square or rectangular, allows them to be mounted to flat surfaces. Uduwawala4 1department of electronics, wayamba university of sri lanka, kuliyapitiya, sri lanka 2technology and intellectual property rights department, fractus, barcelona, spain. Cavity method, circular ferrite microstrip antenna, genetic algorithm, magnetically biased. Microstrip patch antenna calculator patch antenna formula. For instance, x,y32,1 can be encoded as chromosome 0000000 1. The mission consists of three satellites that will take measurements in earths magnetosphere. A comparison between results of the two antennas is done. Analysis of the microstrip patch antenna designed using genetic. Optimization of antenna array using genetic algorithm. Additional benefits of patch antennas is that they are easily fabricated making them cost effective. This example shows how to use phased array system toolbox to solve some array synthesis problems. In this paper, an improved ga based on the reference 19 is applied to synthesis of the linear antenna array.
The ga was then coupled with the method of moments. A combined continuousbinary genetic algorithm for microstrip. Meanwhile, adding punish function to fitness function is proposed to develop the bandwidth and improve the resonant frequency to desired frequency. Application of genetic algorithm to the optimization of. I am working on fractals and i am using ga for optimization of my patch antenna. A method for reducing the size of microstrip patch antennas by up to 75% by.
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. Optimization of antenna array using genetic algorithm lovpreet sobat, prof. The aim of the optimization is to evolve a program that, when evaluated, produces behavior as close as possible to some desired goal. Since the conventional ga easily gets stuck in local. Ushaped slot on the patch of the coaxially fed rectangular patch antenna. This paper proposes a new variant of the quantuminspired genetic algorithm qiga based on a novel quantum gate for solving the app. A procedure to design a bowtie antenna using a genetic algorithm ga in which. A combined continuousbinary genetic algorithm for microstrip antenna design randy l. In the following sections a brief overview of all the algorithms are given followed by the verification of the results. Recall that our antenna system consists of three sections, each containing eight complex weights i.
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. The computed results are in good agreement with the results obtained experimentally. Microstrip antenna is gathering a lot of interest in communication systems. Design of lowprofile highgain ebg resonator antennas. Ga optimization for rfid broadband antenna applications abstract this paper examines genetic algorithm optimizers in antenna design. Pdf in this paper, the design of a compact microstrip patch antenna using genetic algorithm ga based optimization is proposed for. Keywords antenna arrays, patch antennas, antenna optimizations, genetic algorithms, multilevel fast multipole algorithm. Research article nonuniform overlapping method in designing. May 02, 2017 micro strip patch antenna optimization using genetic algorithm.
The present paper discusses an approach of using genetic algorithm for array thinning. Optimizations of patch antenna arrays using genetic. 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. Miniaturization of rectangular microstrip patch antenna. Wide and multiband antenna design using the genetic algorithm to. Genetic algorithm, particle swarm optimization and accelerated particle swarm optimization is dealt with. Design of lowprofile highgain ebg resonator antennas using.
An empirical formula for the resonant frequency of bowtie microstrip antennas is presented, which is based on the cavity model of microstrip patch antennas. 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. Solving antenna array thinning problem using genetic algorithm. 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 start population parameter tells the genetic algorithm how many portfolios to start with, and also what the target population should be. Patch antenna or microstrip patch antenna is one of the most commonly.
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. Microstrip patch antenna is one of the important elements in modern wireless communication systems and hence its design optimization is an. Design and optimization of aperture coupled microstrip. Genetic algorithm is a popular optimization technique and has been introduced for design optimization of microstrip patch antenna. Microstrip square patch antenna using cst by shamsur rahman akash. 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. However, antenna design has grown more stringent and difficult over the years with inherent tradeoffs that exist between gain, radiation pattern. Ga optimization for rfid broadband antenna applications. An approach to the modified calculation for input impedance of inset. A single highdirectivity microstrip patch antenna mpa having a rectangular profile, which can substitute a linear array is proposed. The genetic algorithms calculator perceives these stocks as genes.
A research for millimeter wave patch antenna and array. Microstrip patch antenna is used in mobile handset due to simple look, lower cost, small size and light in weight. If the ratio lw is close to unity, the radiation pattern will be symmetric but may not provide a resonable input impedance. The first technique toward ghost defense radar yahia, ahmed, elkamchouchi, hassan on. Multiobjective optimization with genetic algorithm. Abstract genetic algorithm ga is utilized to design microstrip patch antenna shapes for broad bandwidth. Genetic algorithm optimization and performance comparative.
Mom to design wide and dualband patch antennas by removing metal cells from a standard design 4. Research article nonuniform overlapping method in designing microstrip patch antennas using genetic algorithm optimization j. Genetic algorithm optimization applied to planar and wire. 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. Keywordcircular patch antenna, directivity, genetic algorithm, hfss, rectangular patch antenna, return loss, triangular patch antenna. The fitness function plays a vital role in the successful. Design and optimization of aperture coupled microstrip patch. Li 18 used hybrid genetic algorithm to synthesize the shapedbeam array antennas. All these techniques are used for the feed point optimization of microstrip patch antenna. They have been successfully applied to electromagnetic optimization, including antenna design as well as smart antennas design. In this paper, extensive reference to literature related antenna design efforts.
Genetic algorithm optimization for microstrip patch antenna miniaturization article in progress in electromagnetics research letters 60. A highdirectivity microstrip patch antenna design by using genetic algorithm optimization article pdf available in progress in electromagnetics research c 374. Military antenna design using simple and competent genetic. Genetic algorithm ga is a popular optimization technique used in the design of performance improved microstrip patch antennas mpas. Optimization of the performance of patch antennas using. Design of nonuniform antenna arrays using genetic algorithm. Additional benefits of patch antennas is that they are easily fabricated. Microstrip patch antennas or simply patch antenna are increasingly useful because the antenna is printed directly onto a circuit board. The basic objective is to have narrow beam widths in heavy handoff areas and wider beam widths in areas with low traffic density. In contrast, binomial arrays usually possess the smallest sidelobes fol.
Implementation of the simple genetic algorithm sga this section describes our first optimization approach, which involves the implementation of a simple genetic algorithm sga. 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 resonant frequency of microstrip antenna is shifted to the expanding bandwidth through slotting the patch. 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. A dualband microstrip patch antenna was designed using genetic. Genetic algorithm optimization of broadband microstrip antenna. Most practitioners use the genetic algorithm technique or some variant thereof to evolve antenna designs. Following equations or formula are used for this microstrip patch antenna calculator. Abstract the application of genetic algorithm ga to the. It is followed, in ord er, by the dolphchebyshev and binomial arrays. The parameters of a broadband patch antenna include.
Abstract genetic algorithm is utilized in the optimization of microstrip antenna with complicated structure. 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. Aerospace component design is an expensive and important step in. Pdf a highdirectivity microstrip patch antenna design. A highdirectivity microstrip patch antenna design by using genetic algorithm optimization jeevani w. This antenna does not take any much extra size and can be etched on the same mobile pcb itself. A quantuminspired genetic algorithm for solving the antenna. Genetic algorithm for geometry optimization of optical.