Design and Analysis of Microstrip Patch Antennas Using Artificial Neural Network

Abstract

The microstrip patch antenna can also be designed using an artificial neural network (ANN) modeling technique where size of the antenna is major limitation especially in mobile and wireless applications. In this chapter, analysis and synthesis problems for designing of microstrip patch antennas were discussed using the artificial neural network technique. An analysis problem refers to calculation of resonant frequency of microstrip patch antenna whereas a synthesis problem refers to calculation of dimensions of patch antenna. Both problems are reciprocal of each other. Results are implemented using graphical user interface (GUI) tools of MATLAB programming language. Backpropagation training algorithm of artificial neural network is used to train the network for minimization of error and computation time. Therefore, the geometric dimensions of patch are obtained with high accuracy in less computation time as compared to simulation software.

Performance Comparison of Microstrip High-Pass Filters for Different Dielectric Substrates

“…Figure 6 represents the design of microstrip high pass filter using Glass epoxy FR4 substrate. The total area of the proposed design of microstrip filter is 620.1 mm 2 which is more compact as compared to existing designs [3] [4][5] [6]. Length of the proposed filter is 52.11 mm and width of the proposed filter is 11.9 mm.…”

“…With reference to the design proposed in Figure 5, the electrical length θcis calculated by equation (6 In a similar way the rest of element values are found to be y 1, 2 = 1.0403, y 2 = 0.6021, y 2,3 =1.01149, y 3 =0.6797, y 3,4 =1.00459.…”

“…With the gap capacitor adjusted the proposed high pass filter illustrates the sharp attenuation characteristics near the cut-off frequency made by cross-coupling between the inductor lines. Microstrip high pass filters can also be designed using neuro modeling techniques for obtaining the more accurate performance and fast processing [6]. In [7] microstrip band pass filter is designed using a defected ground structure resonators and inter-digital capacitors.…”

Design and Optimization of Sierpinski Carpet Fractal Antenna Using Artificial Neural Network (Ann) and High Frequency Structure Simulator (Hfss) Computational Techniques

“…The model's performance relies on factors such as data collection, learning algorithm, weight initialization, and activation function. In antenna design, data is collected through simulations or experimental measurements, extending slightly beyond the model's operational range [15][16][17].…”

Optimization of Antenna Parameters Using Neural Network Technique for Terahertz Band Applications

“…Many researchers have already published their work on terahertz applications, but they have discovered many design constraints which are to be focused upon. Since the resonant frequency is inversely proportional to the length of patch, i.e., antennas smaller in size operate in higher frequency and vice versa, for the antenna to radiate in THz region, the antenna dimensions are in the nanometer range which requires very precise and complex fabrication process which leads to high cost of the designed antenna [9][10][11].…”