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Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 27-427
Full Name: Raghavan Singaravelu
Position: Professor
Age: ON
Sex: Male
Address: Department of Electronics and Communication, National Institute of Technology, Tiruchirappalli
Country: INDIA
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E-mail address: raghavan@nitt.edu
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Title of the Paper: Fusion of Technology in Analysis, Design and Comparison of Numerical Techniques for Rectangular Microstrip Patch Antenna
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Number of paper pages: 10
Abstract: In today's scenario higher integration and smaller layout size are the two major trends in RF and Microwave industry, lead to more prominent role in electromagnetic high order effects. Recent years the important in the development of numerical techniques has been the versatility of the method. In this paper, we have present the various numerical techniques to compute such effects in Microwave Integrated Circuit based designs, highlighting their specific features with comparison of numerical techniques for design of rectangular Microstrip Patch Antenna. Here we are compared few numerical techniques, in this Finite Element Method is a more powerful and versatile, more storage requirement, less CPU time. Numerical characterizations and modelings of guided wave passive components have been an important research topic in the recent years. This is due to increased research and development in millimeter-wave integrated circuits and monolithic integrated circuits. Another !
aspect important in the development of numerical techniques has been the versatility of the method. Higher integration and smaller layout size, two major trends in today's RF/microwave industry, lead to more prominent electromagnetic high order effects. In this paper, the authors present a survey of existing Numerical techniques to compute such effects in microwave integrated circuits, highlighting their specific advantages/disadvantages and comparison for a circuit designers and simulation results also compared.
Keywords: Microwave integrated circuits, Numerical techniques, Artificial neural networks, Microstrip, Fusion
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