Design of Novel Dual-Band Monopole Using Genetic Algorithms (original) (raw)
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Design of Dual Band Patch Antennas for Cellular Communications by Genetic Algorithm Optimization
International Journal of Engineering & Technology, 2012
Designing multiband antennas with low volume becomes of practical interest for mobile telecommunications. This paper presents the designs of five small dual band patch antennas for GSM1800 (1710-1880MHz) and Bluetooth (2400-2483.5MHz) applications using a genetic algorithm combined with MoM (Method of Moments). A substrate with dielectric constant 3.2 and height 8mm is used for the first two dual band designs. The height is reduced thanks to the optimization process to 6mm in the third design by inserting a shorting pin to the fragmented patch antenna. The height is further reduced to 4mm in the by inserting two shorting pins. In the final design with three shorting pins, the height is only 3mm. The patch dimensions are similar to that of the conventional rectangular patch for the center frequency of the lowest frequency band but with the advantage of having dual-band operation at the desired bands. Genetic algorithm optimization is used to optimize the patch geometry, feed position and shorting positions. HFSS is used to carry out simulations. The antenna thickness is reduced from Design of Dual Band Patch Antennas 27 8mm to 3mm by incorporating shorting pins which position is optimized by the genetic algorithm.
Wire antennas optimized using genetic algorithm
Computers & Electrical Engineering, 2011
In this work, wire antennas are designed to jam GSM frequencies using genetic algorithms. These antennas are designed to block communication at 3-band GSM frequencies. They are planned to be mounted on a vehicle and therefore are modeled on a ground plane. Jammer antennas designed in this work are composed of wires, placed on two square dielectric frames, perpendicular to each other. Genetic optimization routines are developed on MAT-LAB environment for the designs carried out in this work. Electromagnetic simulation program called SuperNEC, which analyses antennas by the method of moments, is used to determine the antenna performances and is called by the developed GA routines. The purpose of the antenna optimization is to obtain low VSWR values and omni-directional radiation pattern near ground at h = [70°80°90°] planes at all GSM frequencies, since the targets will be near ground for this application. Original and interesting antenna designs are obtained as the result of genetic optimization, and are presented in the paper.
DUAL BAND MONOPOLE ANTENNA DESIGN
The WLAN and Bluetooth applications become popular in mobile devices, integrating GSM and ISM bands operation in one compact antenna, can reduce the size of mobile devices. Recently, lot many investigations are carried out in designing a dual band antennas with operating frequencies in GSM band and in ISM band for mobile devices. Printed monopoles are under this investigation. In this paper, dual-band printed monopoles are presented to operate at GSM band i.e. 900 MHz and ISM band i.e. 2.4 GHz. We intend to observe the antenna characteristics on the network analyzer and verify the theoretical results with the practical ones.
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.
Microstrip antenna optimization using genetic algorithms
2010
The design of a micro-strip patch antenna is proposed by optimizing its resonant frequency, Bandwidth of operation and Radiation resistance using Genetic Algorithm (GA). GA is based on the mechanics of natural genetics and natural selection and good at taking larger, potentially huge, search spaces and navigating them looking for optimal combinations of solutions which we might not find in life time .Optimizing radiation resistance operational bandwidth as high as 25.52 % and return loss -47.5dB is obtained without any complexity of design. The antenna can be used for various applications in fields of mobile communication, satellite communication, RFID, GPS, Radar communication etc.
Microwave and Optical Technology Letters, 2002
This paper presents the application of a genetic algorithm () GA to the design and optimization of a nonplanar dipole array in light of its application at a cell-site antenna for mobile communication. Cell-site antennas demand widely different radiation patterns depending upon the geographical location, terrain, and interference conditions of the cell site. The theoretical analysis for the radiation characteristics of the array is de¨eloped first, and subsequently, the GA is applied for obtaining the optimized parameters of the array to obtain the desired pattern as needed in different application areas of the cell site. ᮊ 2002
A Survey on Design of Multiband Monopole Antenna for Wireless Applications
The antennas are very essential device for communication as it is used as a transmitter device and receiving device. Today Communication devices such as mobile phones become very thin and smarter, support several applications and require higher bandwidth where the microstrip antennas are the better choice compare to conventional antennas. To perform this operation the microstrip antennas should provide wide bandwidth at the compact size. The aim of the survey is to design and simulation of rectangular Microstrip Patch Antenna for various feeding techniques using a 3D electromagnetic field simulator HFSS14.0 and measures the antenna parameters such as VSWR, radiation pattern and return loss.
International Journal of Antennas and Propagation, 2015
Genetic algorithm (GA) has been a popular optimization technique used for performance improvement of microstrip patch antennas (MPAs). When using GA, the patch geometry is optimized by dividing the patch area into small rectangular cells. This has an inherent problem of adjacent cells being connected to each other with infinitesimal connections, which may not be achievable in practice due to fabrication tolerances in chemical etching. As a solution, this paper presents a novel method of dividing the patch area into cells with nonuniform overlaps. The optimized design, which is obtained by using fixed overlap sizes, shows a quad-band performance covering GSM1800, GSM1900, LTE2300, and Bluetooth bands. In contrast, use of nonuniform overlap sizes leads to obtaining a pentaband design covering GSM1800, GSM1900, UMTS, LTE2300, and Bluetooth bandswith fractional bands with of 38% due to the extra design flexibility.