Systematic Optimization Technique for MESFET Modeling
نویسندگان
چکیده
(Abstract) Accurate small and large-signal models of metal-semiconductor field effect transistor (MESFET) devices are essential in all modern microwave and millimeter wave applications. Those models are used for robust designs and fabrication development. The sophistication of modern communication systems urged the need of monolithic microwave integrated circuits (MMICs), which consists of many MESFETs on the same chip. As the chip density increases, the need of accurate MESFET models becomes more pronounced. In this study, a new technique has been developed to extract a 15-element small signal model of MESFET devices. This technique implies the use of three sets of S-parameter measurements at different bias conditions. The technique consists of two major steps; in the first step, some of the bias-independent extrinsic parameters are estimated in preparation for the second step. In the second step, all other parameters should be extracted at the bias point of interest. This technique shows reliable results. Unlike other optimization techniques, our proposed technique shows insensitivity to the unavoidable measurement errors over any frequency range. It shows a unique solution for all parameter values. This technique has been tested on S-parameters of a hypothetical-device model and compared with other optimization-based extraction techniques. Moreover, it has been also applied to GaAsTEK 0.8x300 2 m µ MESFETs to extract the ii model parameters at different bias voltages. The study reveals accurate and consistent results among the similar devices on the same wafer. Some thermal characteristics of the small-signal parameters are discussed. The parameters are extracted from measurements at three temperatures for two similar devices on the same wafer. The thermal results of the two devices demonstrate consistent results, which assure the preciseness, and robustness of our proposed technique. In addition, the relation between the small-signal model parameters and the large-signal model parameters is also presented. The parameters of an empirical model for the drain-source current are extracted from the dc measurements along with the small-signal transconductance and output conductance. The large-signal model results for a GaAsTEK 0.8x300 2 m µ MESFET are introduced. iii Acknowledgment All praise is due to our God (ALLAH) who has been bestowing me with his great bounties and enabled me to complete my dissertation. I would like to thank Dr. Sedki M. Riad for his support, guidance and invaluable advices. I would like to offer my gratitude to the members of my advisory committee, Dr. Elshabini, for their help and comments. I appreciate …
منابع مشابه
A Novel SOI MESFET by Implanted N Layer (INL-SOI) for High Performance Applications
This paper introduces a novel silicon-on-insulator (SOI) metal–semiconductor field-effect transistor (MESFET) with an implanted N layer (INL-SOI MESFET) to improve the DC and radio frequency characteristics. The DC and radio frequency characteristics of the proposed structure are analyzed by the 2-D ATLAS simulator and compared with a conventional SOI MESFET (C-SOI MESFET). The simulated result...
متن کاملSmall signal parameter extraction of MESFET using quantum particle swarm optimization
This paper discusses a novel technique to extract small signal equivalent circuit model parameters of GaAs MESFET device based on particle swarm optimization (PSO) technique. Three different variants of PSO namely basic PSO, Delta well quantum PSO (DQPSO) and Harmonic well quantum PSO (HQPSO) are implemented and compared. We find that these techniques extract the 16-element small signal model p...
متن کاملArtificial bee colony algorithm for small signal model parameter extraction of MESFET
This paper presents an application of swarm intelligence technique namely Artificial Bee Colony (ABC) to extract the small signal equivalent circuit model parameters of GaAs Metal Extended Semiconductor Field Effect Transistor (MESFET) device and compares its performance with Particle Swarm Optimization (PSO) algorithm. Parameter extraction in MESFET process involves minimizing the error, which...
متن کاملTime Domain Analysis of Active Transmission Line Using Fdtd Technique (application to Microwave/mm-wave Transistors)
In this paper, an accurate modeling procedure for GaAs MESFET as active coupled transmission line is presented. This model can consider the effect of wave propagation along the device electrodes. In this modeling technique the active multiconductor transmission line (AMTL) equations are obtained, which satisfy the TEM wave propagation along the GaAs MESFET electrodes. This modeling procedure is...
متن کاملGaN Metal-Semiconductor Field-Effect Transistor Project II
In this paper, we will discuss the modeling and simulation result of GaN MESFET device with our conventional computer added device simulator MEDICI. We will find out material parameter of GaN so that the device characteristics of simulation fit to experimentally built-on device characteristics. Then we will vary some important device parameters such as gate length, channel doping rate, and acti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2000