“…That is why several researchers are drawn to microstrip patch antennas' compact size and thin profile. Despite the disadvantage of a narrow impedance bandwidth, microstrip patch antennas have numerous advantages, including low profile, small dimensions, lightweight, easy conformability, easy portability, planar structures, and ease of manufacture using printed circuit technology [6] . Figure 1 Attenuation of mmWave frequencies due to atmospheric conditions [4] .…”
Section: Introductionmentioning
confidence: 99%
“…The Grey Wolf Optimization Algorithm (GWOA) is used to solve the optimization problem. Similarly, in [6] , a dual-band compact coplanar waveguide (CPW)-fed microstrip patch antenna with defected ground structure is optimized and proposed for covering upper C band and lower X band applications. A constrained adaptative bacterial foraging optimization (ABFO) algorithm is used to optimize the antenna, and curve-fitting is used for mathematical modeling.…”
“…That is why several researchers are drawn to microstrip patch antennas' compact size and thin profile. Despite the disadvantage of a narrow impedance bandwidth, microstrip patch antennas have numerous advantages, including low profile, small dimensions, lightweight, easy conformability, easy portability, planar structures, and ease of manufacture using printed circuit technology [6] . Figure 1 Attenuation of mmWave frequencies due to atmospheric conditions [4] .…”
Section: Introductionmentioning
confidence: 99%
“…The Grey Wolf Optimization Algorithm (GWOA) is used to solve the optimization problem. Similarly, in [6] , a dual-band compact coplanar waveguide (CPW)-fed microstrip patch antenna with defected ground structure is optimized and proposed for covering upper C band and lower X band applications. A constrained adaptative bacterial foraging optimization (ABFO) algorithm is used to optimize the antenna, and curve-fitting is used for mathematical modeling.…”
Ultra-wideband (UWB) technology has become influential among academic research and industry because of its vast application in the wireless world. However, several drawbacks have in UWB based antenna. To tackle this, EBG (Electromagnetic Band Gap) structures have proposed. Furthermore, the design of EBG structures is very complex due to the uncertain EBG properties dependence upon unit cell parameters. Therefore, to the optimal design of micro strip antenna for applications of UWB, EBG-PIO (pigeon inspired optimization) on the basis of micro strip patch antenna has been proposed to enhance micro strip antenna’s performance in terms of directivity, gain, bandwidth and efficiency. To select design parameters optimally, the PIO technique is proposed with substrate material of Rogers RT/Duroid 6010 with height h = 1.6 mm. Proposed antenna return loss remains –34.6 dB to cover applications of UWB (3.1–10.6 GHz). Also, results exhibited by both proposed technique and fabricated model-based antenna has outperformed than existing techniques regarding directivity, return loss, bandwidth, gain and radiation efficiency.
“…One more soft computational technique called adaptive bacteria foraging optimization (ABFO) has been used to optimize a coplanar waveguide fed patch antenna in [35]. The antenna designed using HFSS has been optimized using the curve-fitting technique and ABFO to convert the dual-band characteristics into wideband characteristics.…”
An inscribed hexagonal fractal slotted patch antenna with some additional geometry and slots is proposed for the optimization in this paper. This research work is concerned with the optimization of this slotted fractal antenna with the help of the curve-fitting method in conjunction with the modified version of Lightning Attachment Procedure Optimization (MLAPO) technique. The data required for the curve-fitting technique and for the optimization technique have been obtained by varying some of the parameters of the proposed antenna. Different equations are developed to know the relations between these parameters of the proposed antenna. The MLAPO technique is applied thereafter to calculate the different optimized geometrical parameters to optimize the bandwidth for the proposed antenna. The optimized geometrical parameters are verified with the help of a parametric variation to justify the reliable optimization. The bandwidth obtained by the MLAPO technique has been found to be better than that obtained by PSO and normal LAPO algorithm. The prototype of the optimized antenna is fabricated and the experimental results are found to be compatible with the results obtained by simulation. The proposed optimized antenna may be utilized in various applications in C and X bands.
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