Side Lobe Level Optimisation of Circular Microstrip Array Antenna Using Genetic Algorithm (original) (raw)
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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.
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
International Journal of Engineering Research and Technology (IJERT), 2013
https://www.ijert.org/optimization-of-radiation-patterns-of-circular-antenna-arrays-using-genetic-algorithm-for-wireless-communications https://www.ijert.org/research/optimization-of-radiation-patterns-of-circular-antenna-arrays-using-genetic-algorithm-for-wireless-communications-IJERTV2IS120544.pdf The circular arrays are extremely useful in direction finding, wide bandwidth HF communication systems, wrap-around shipborne communications, navigational aids, space craft communications, null steering systems for mobile communication applications, and wide bandwidth microwave direction finders. The presence of high side lobes causes electromagnetic interference in radar receivers due to nearby objects. Sometimes this interference is so high that it blocks the required echoes completely. Moreover, with the presence of high side lobes the radar systems are susceptible for jamming. In the present paper, an attempt is made to design circular antenna array with optimum low side lobe level and narrow beamwidth. Genetic algorithm is used in the present paper to optimize the radiation patterns of circular antenna array.
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.
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.
Microwave and Optical Technology Letters, 2001
In this paper, the synthesis of a stacked patch antenna for circular polarization is presented. The antenna is analyzed by the full-wave approach based on the method of moments in the spectral domain. In order to find the optimal antenna parameters, a hybrid genetic algorithm that combines a global search of the common genetic algorithm and the efficiency of the direct search method is developed. The experimental results show SWR<2, with an axial ratio lower than 4 dB within 14% bandwidth. © 2001 John Wiley & Sons, Inc. Microwave Opt Technol Lett 31: 197–201, 2001.
The optimization of gain of patch antennas using genetic algorithm
The application of Genetic Algorithm (GA) to the optimization of gains of rectangular and circular microstrip patch a n tennas are reported. In both the cases the tness functions are developed using cavity method for the analysis of microstrip antenna and the GA code was developed using C++ language. The results are veri ed by comparison with the results obtained using MATLAB and some results are supported by experimental verication.
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.
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.