Fast Transient Simulations From S-Parameters With Improved Reference Impedance

Khairulzaman, Mohd Ridzuan (2015) Fast Transient Simulations From S-Parameters With Improved Reference Impedance. Masters thesis, Universiti Sains Malaysia.

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As a design becomes more sophisticated, analyzing it becomes more complicated, and supporting high data speeds and high operating frequencies becomes more challenging. Conventional transient simulation can be a troublesome and a computationally expensive procedure, as the process takes a long time to complete. Hence, a fast transient simulation is utilized based on scattering parameter (S-parameter) convolution. This alternative approach to the S-parameter offers stability, efficiency and robust computation. In this research, the S-parameter frequency domain convolution was presented, which was later converted to impulse response or time domain data using the inverse Fast Fourier Transform (IFFT) algorithm for the fast transient simulation of multiport interconnect network or typically addressed as a black box model. Subsequently, the S-parameter convolution can be further improved by optimizing the reference system of the model. An improvement by 64% and 29.5% of IFFT point usage numbers with Black Box 1 and Black Box 2. These results respectively were obtained based on optimal reference impedance assigned in S-parameter synthesis on black box models, thus speeding up the convolution program, compared to the nominal reference impedance of 50Ω used to perform the fast transient simulation. Besides, the optimization routine implemented on the design has smoothed the magnitude of the waveform and there is no significant effect observed on the time domain response.

Item Type: Thesis (Masters)
Additional Information: No Accession:875000457
Subjects: T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK7800-8360 Electronics
Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering) > Thesis
Depositing User: Mr Mohd Fadli Abd Rahman
Date Deposited: 01 Aug 2018 07:38
Last Modified: 01 Aug 2018 07:38

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