Acceleration Techniques for Analysis of Microstrip Structures

Pomarnacki, Raimondas; Krukonis, Audrius; Urbanavičius, Vytautas

doi:10.5755/j01.eee.20.5.7109

Cited by 6 publications

(8 citation statements)

References 21 publications

(23 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The manufacture of microwave devices usually consists of several stages: (1) synthesis of physical and geometrical parameters using analytical and numerical iterative methods [1][2][3][4], (2) analysis of synthesized models using analytical and numerical iterative methods [5][6][7][8][9], and (3) experimental verification [10][11][12][13][14]. This procedure is usually time consuming, especially when the approximate parameters are not known and many synthesis iterations are required [15,16]. The most time-consuming stage is the repetition of experimental verification, as this requires the manufacturing of another experimental prototype of the device.…”

Section: Introductionmentioning

confidence: 99%

“…In this way, the entire design cycle of the meander system can take even longer, as it is necessary to find the optimal design parameters of the meander system in the synthesis stage of investigation through multiple repetitions. Long computation time then becomes a problem [16]. Another problem can arise when the dispersion equation, using analytical methods, has either no solution or several solutions, requiring the selection of the correct one using iterative calculations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Predicting the Frequency Characteristics of Hybrid Meander Systems Using a Feed-Forward Backpropagation Network

et al. 2019

View full text Add to dashboard Cite

The process of designing microwave devices is difficult and time-consuming because the analytical and numerical methods used in the design process are complex. Therefore, it is necessary to search for new methods that will allow for an acceleration of synthesis and analytic procedures. This is especially important in cases where the procedures of synthesis and analysis have to be repeated many times, until the correct device configuration is found. Artificial neural networks are one of the possible alternatives for the acceleration of the design process. In this paper we present a procedure for analyzing a hybrid meander system (HMS) using the feed-forward backpropagation network (FFBN). We compared the prediction results of the transmission factor and the reflection factor , obtained using the FFBN, with results obtained using traditional analytical and numerical methods, as well as with experimental results. The comparisons show that prediction results significantly depend on the FFBN structure. In terms of the lowest difference between the characteristics calculated using the method of moments (MoM) and characteristics predicted using the FFBN, the best prediction was achieved using the FFBN with three hidden layers, which included 18 neurons in the first hidden layer, 14 neurons in the second hidden layer, and 2 neurons in the third hidden layer. Differences between the predicted and calculated results did not exceed 7% for the parameter and 5% for the parameter. The prediction of parameters using the FFBN allowed the analysis procedure to be sped up from hours to minutes. The experimental results correlated with the predicted characteristics.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predicting the Frequency Characteristics of Hybrid Meander Systems Using a Feed-Forward Backpropagation Network

et al. 2019

View full text Add to dashboard Cite

show abstract

“…This divider is usually made of microstrip or strip lines. Microstrip devices are widely used in modern microwave techniques . This circuit is reduced to two simple circuits fed on symmetrical and nonsymmetrical sources on the output ports.…”

Section: Introductionmentioning

confidence: 99%

Design of wideband microstrip power divider/combiner with input and output impedance matching for RF energy harvesting applications

Öztürk

Coskun

2018

Int J RF Microw Comput Aided Eng

View full text Add to dashboard Cite

Lately, it has been seen that wireless communication systems have been more developed and there has been a huge demand for multi-spectral transactions. Using circuits for more than one function is a serious requirement in communication technology. Especially, it expected from RF output stages to show the same performance on more than one frequency. To that end, it is required to produce a solution with wideband designs. In this study, a novel power divider/combiner design with a layered conic line has been investigated for the RF energy harvesting applications. The center frequency was set at 2 GHz and concluded with three different designs. In each design, bandwidth and S parameter characteristics were compared according to the number of layers of the transmission, and it was observed that as the number of layers increases, the bandwidth also increases. According to the design result, triple layer Wilkinson power divider was selected to connect to Villard voltage doubler circuit. The Wilkinson power combiner circuit inputs were given between −10 dBm and 5 dBm input power. As a result, when low input power was given, efficiency was observed about 70%. K E Y W O R D S impedance matching, RF energy harvesting, Villard voltage Doubler, Wilkinson power divider/combiner

show abstract

“…Ultra-wide stopband in a compact low pass filter using stepped impedance resonators is designed using Sonnet , which is based on the method of moments [11]. However, the duration of calculations can reach dozens of hours even if modern workstations are used [12]. In this way, the entire design cycle of the delay system could be even longer, as in this first stage of investigation it is necessary to find the optimal design parameters of the MDS through multiple repetitions.…”

Section: Introductionmentioning

confidence: 99%

Delay Systems Synthesis using Multi-Layer Perceptron Network

et al. 2018

View full text Add to dashboard Cite

The aim of this paper is to accelerate development and investigation of the delay systems. The computational time for investigation of particular design of delay system may take from several minutes up to several days. To achieve the required constructional parameters of the system, the iterative calculations usually should be repeated many times. In this paper, an artificial neural network is proposed to be used as the universal approximator for solving mathematical problems of delay system investigation instead of usual analytical and numerical techniques. The application of a multi-layer perceptron is proposed for approximation of solution space with discrete estimates, which were initially received by application of numerical techniques. Different structures of the multi-layer perceptron were tested for approximation. The difference between delay systems synthesis, which was estimated using numerical techniques and trained multi-layer perceptron did not exceed 5% for any of the six design parameter values. The execution time for estimating single delay system was reduced from 240 s to 20 ms. Such fast estimation of design parameters enables performing delay system analysis and design in real time, preserving time for structure visualization in 3D or virtual reality environment.

show abstract

Acceleration Techniques for Analysis of Microstrip Structures

Cited by 6 publications

References 21 publications

Predicting the Frequency Characteristics of Hybrid Meander Systems Using a Feed-Forward Backpropagation Network

Predicting the Frequency Characteristics of Hybrid Meander Systems Using a Feed-Forward Backpropagation Network

Design of wideband microstrip power divider/combiner with input and output impedance matching for RF energy harvesting applications

Delay Systems Synthesis using Multi-Layer Perceptron Network

Contact Info

Product

Resources

About