A broad-band transmission line model for a rectangular microstrip antenna

1989 ◽  
Vol 37 (1) ◽  
pp. 6-15 ◽  
Author(s):  
R.W. Dearnley ◽  
A.R.F. Barel
Keyword(s):  
Transmission Line ◽  
Microstrip Antenna ◽  
Broad Band ◽  
Transmission Line Model ◽  
Line Model ◽  
Rectangular Microstrip Antenna

Microstrip Antenna

2019 ◽  
pp. 25-38
Author(s):  
Nandan Bhattacharyya ◽  
Jawad Yaseen Siddiqui
Keyword(s):  
Transmission Line ◽  
Microstrip Antenna ◽  
Ground Plane ◽  
Fdtd Method ◽  
Dielectric Substrate ◽  
Cavity Model ◽  
Transmission Line Model ◽  
Line Model ◽  
Physical Insight ◽  
Wave Models

The microstrip antenna (MSA) consists of a dielectric substrate in between a metallic conducting patch and a ground plane. The most common forms of the MSA are the rectangular and circular patch MSAs. There are several microstrip antenna analysis methods. The most popular models are transmission-line model, cavity model, method of moments, FDTD method, and finite element method. The transmission-line model is the simplest of these methods, and it provides good physical insight but is less accurate. The cavity model is more accurate compared to the transmission-line model, but cavity model is more complex. Though cavity model gives good physical insight, it is rather difficult to model coupling. The full-wave models (which include primarily integral equations/moment method) are very accurate, very versatile, but they are the most complex models and usually give less physical insight. This chapter explores the microstrip antenna.

Model Order Reduction of Transmission Line Model

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Transmission Line ◽  
Large Scale ◽  
Original System ◽  
Reduced Order Model ◽  
Benchmark Problems ◽  
Transmission Line Model ◽  
Order Model ◽  
Line Model ◽  
Reduced Order ◽  
Numerical Effort

Transmission Line model are an important role in the electrical power supply. Modeling of such system remains a challenge for simulations are necessary for designing and controlling modern power systems.In order to analyze the numerical approach for a benchmark collection Comprehensive of some needful real-world examples, which can be utilized to evaluate and compare mathematical approaches for model reduction. The approach is based on retaining the dominant modes of the system and truncation comparatively the less significant once.as the reduced order model has been derived from retaining the dominate modes of the large-scale stable system, the reduction preserves the stability. The strong demerit of the many MOR methods is that, the steady state values of the reduced order model does not match with the higher order systems. This drawback has been try to eliminated through the Different MOR method using sssMOR tools. This makes it possible for a new assessment of the error system Offered that the Observability Gramian of the original system has as soon as been thought about, an H∞ and H2 error bound can be calculated with minimal numerical effort for any minimized model attributable to The reduced order model (ROM) of a large-scale dynamical system is essential to effortlessness the study of the system utilizing approximation Algorithms. The response evaluation is considered in terms of response constraints and graphical assessments. the application of Approximation methods is offered for arising ROM of the large-scale LTI systems which consist of benchmark problems. The time response of approximated system, assessed by the proposed method, is also shown which is excellent matching of the response of original system when compared to the response of other existing approaches .

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