Microstrip antenna optimization using genetic algorithms (original) (raw)
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OPTIMIZATION OF A NOVEL SHAPE MICRO STRIP PATCH ANTENNA USING GENETIC ALGORITHM
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. Micro-strip patch antenna is one of the important elements in modern wireless communication systems and hence its design optimization is an important aspect for improving the overall performance of the system. The microstrip patch antenna is designed to operate in S band with the frequency of 2.4GHz and various important performance metrics of the patch antenna are analyzed.
Calculation of optimized parameters of rectangular microstrip patch antenna using genetic algorithm
Microwave and Optical Technology Letters, 2003
In this paper, the genetic algorithm (GA) has been applied to calculate the optimized length and width of rectangular microstrip antennas. The inputs to the problem are the desired resonant frequency, dielectric constant, and thickness of the substrate; the outputs are the optimized length and width. The antennas considered are electrically thin. Method of moments (MoM)-based IE3D software from Zealand Inc., USA, and experimental results are used to validate the GA-based code. The results are in good agreement. © 2003 Wiley Periodicals, Inc. Microwave Opt Technol Lett 37: 431–433, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.10940
Design and Optimization of Miniaturized Microstrip Patch Antennas Using a Genetic Algorithm
Electronics
The main objective of this work is to propose an approach for improving the performance of miniaturized microstrip patch antennas (MPAs) that are loaded with a thin film consisting of a high relative permittivity material. The method uses a thin film to decrease the antenna’s resonance frequency while keeping the antenna’s patch dimensions. For the enhancement of the antenna’s performance with a thin film, the dimensions of the patch of the designed antenna are optimized utilizing genetic algorithms (GAs). The resonance frequency of the microstrip patch antenna was changed from 5.8 GHz to 4.0 GHz, and the area of the proposed antenna was minimized by around 60%, especially in comparison to a conventional antenna alone without thin film. Most of the performances of the proposed antenna such as the return loss, bandwidth, and voltage standing wave ratio (VSWR) were improved.
Microstrip antenna is gathering a lot of interest in communication systems. Genetic algorithm is a popular optimization technique and has been introduced for design optimization of microstrip patch antenna. In this paper, genetic algorithm has been used for optimization of resonant frequency of coaxially fed rectangular microstrip antenna. The investigation is made at 3 different frequencies 3GHz, 5GHz and 10GHz respectively. Patch length, patch width & feed position are taken as optimization parameters. Return loss and radiation pattern for the optimized antenna are verified using IE3D software. Accuracy of the results encourages the use of genetic algorithm.
Design of a compact genetic microstrip antenna with improved performance
2008 IEEE Antennas and Propagation Society International Symposium, 2008
In this paper the design issues of compact genetic microstrip antennas for mobile applications has been investigated. The antennas designed using Genetic Algorithms (GA) have an arbitrary shape and occupies less area (compact) compared to the traditionally designed antenna for the same frequency but with poor performance. An attempt has been made to improve the performance of the genetic microstrip antenna by optimizing the ground plane (GP) to have a fish bone like structure. The genetic antenna with the GP optimized is even better compared to the traditional and the genetic antenna.
Optimization of the performance of patch antennas using genetic algorithms
Journal of the National Science Foundation of Sri Lanka, 2013
Patch antenna is a widely used antenna type in many applications. These antennas are low-profile, cheap, conformable to planar and non planar surfaces, simple to fabricate using printed circuit technology and compatible with monolithic microwave integrated circuit (MMIC) designs. However, their narrow bandwidth and low efficiency are the major drawbacks. In this study, genetic algorithm optimization (GAO) method was used to design the shape of the patch, feed position, thickness of the dielectric substrate and the substrate material simultaneously in order to optimize both bandwidth and gain. It was found that thin broadband fragmented single probe feed patch antennas with-10 dB impedance bandwidths up to almost 2:1 can be easily designed using GAO. The antennas were simulated using high frequency structure simulator (HFSS) and the results were validated using measurements.
Genetic Algorithm Optimization for Microstrip Patch Antenna Miniaturization
Progress In Electromagnetics Research Letters, 2016
The miniaturization of the patch antenna has become an important issue in reducing the volume of entire communication system. This paper presents an improved method of size reduction of a microstrip antenna using the genetic algorithm. The shape of a typical rectangular patch is modified in order to reduce it resonance frequency keeping the physical volume of the antenna constant. Indeed, the initial patch is divided into 10 × 10 small uniform rectangles (Pixel), and the genetic algorithm searches, the optimal configuration for the desired goal. The resonance frequency of a micro-strip patch is shifted from 4.9 GHz to 2.16 GHz and a rate of miniaturization is up to 82%. To validate the procedure, an antenna prototype has been fabricated and tested with an FR4 substrate. The measurements results were in good agreement with simulation ones.
Radioengineering
A single high-directivity microstrip patch antenna (MPA) having a rectangular profile, which can substitute a linear array is proposed. It is designed by using genetic algorithms with the advantage of not requiring a feeding network. The patch fits inside an area of 2.54 x 0.25, resulting in a broadside pattern with a directivity of 12 dBi and a fractional impedance bandwidth of 4 %. The antenna is fabricated and the measurements are in good agreement with the simulated results. The genetic MPA provides a similar directivity as linear arrays using a corporate or series feeding, with the advantage that the genetic MPA results in more bandwidth.
Side Lobe Level Optimisation of Circular Microstrip Array Antenna Using Genetic Algorithm
TJPRC, 2014
In the recent years the development in communication systems requires the development of low cost, minimal weight, low profile antennas that are capable of maintaining high performance over a wide spectrum of frequencies. This technological trend has focused much effort into the design of a micro strip patch antennas. The popularity of micro strip antennas are increasing day by day because of ease of analysis and fabrication, and their attractive radiation characteristics. So the micro strip Antenna are very useful & essential device for effective wireless communication. This paper focuses on the application of binary coded Genetic Algorithm (BGA) which is applied to the Circular Patch Microstrip antenna with linear and non linear (Dolph-Chebyshev) arrays. The cost function of Genetic Algorithm(GA) is maximum reduction in side lobe level of the radiation pattern of the antenna .The genetic algorithm finds the optimum amplitude current excitations co-efficient of the antenna array elements to provide the radiation pattern with maximum reduction in the side lobe level and also achieved the minimum possible null to null beam width, the resultant radiation patterns for both before GA and after GA of Microstrip array are compared. The Radiation patterns are presented for different number of elements. All the simulated results are obtained by using MATLAB software.
A High-Directivity Microstrip Patch Antenna Design by Using Genetic Algorithm Optimization
Progress In Electromagnetics Research C, 2013
A high-directivity patch antenna with broadside directivity is attractive, since a narrow beam can be obtained without the need of using an array of antennas. Therefore, the solution becomes simpler as there is no need for a complicated feeding network. In this sense, this paper presents a novel patch antenna design with high directivity in the broadside direction by using genetic algorithms (GA). The proposed GA method divides the overall patch area into different cells taking into account that cells have a small overlap area between them. This avoids optimized geometries where cells have only an infinitesimal connection. Therefore, the proposed method is robust for manufacturing. The antenna operates in a higher-order mode at 4.12 GHz and the geometry fits inside a patch of 40 mm × 40 mm on a substrate with a relative permittivity of 3.38 and a thickness of 1.52 mm resulting in a directivity of 10.5 dBi. The specialty of this design is the use of GA to select the optimized shape and the feeding position instead of a known shape and a fixed feeding position. The antenna has been fabricated and the simulation results are in good agreement with the measurements. This results in a simpler design of a single high-directivity patch, which can substitute an array of two elements operating in the fundamental mode.