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Electrical and Computer Engineering — ELEC 301
创建日期：2024-05-20 16:22:09
标签： ELEC 301
Electrical and Computer Engineering
Electrical and Computer Engineering — ELEC 301
MINI PROJECT 2
BIASSING AND THE COMMON EMITTER AND COMMON BASE AMPLIFIERS
Objectives
To develop familiarity with the transistor’s hybrid-ð model and issues surrounding the biassing of
transistors as well as to analyse and measure the characteristics of an important transistor amplifier
using 3 commonly available transistors.
Introduction
The bipolar junction transistor can be modelled for small signal operation using the hybrid-ð model,
shown in Figure 2.1. Under the assumption of small signals, the transistor is assumed to work in its
active region. Large signals can cause the transistor to enter the saturation or cut-off modes, where the
hybrid-ð model no longer describes the circuit’s operation.
In this mini project, we examine two basic single transistor amplifier circuits, the common emitter and
common base amplifiers. These amplifiers are shown in figures 2.2 and 2.3, respectively.
This project consists of three parts. The transistors that you will be using/considering in your designs
are the 2N2222A, 2N3904, and 2N4401. The data sheets for these transistors may be obtained from the
manufacturers’ web sites (e.g., the 2N3904 and 2N4401 data sheets can be downloaded from the
Fairchild Semiconductor web site) or otherwise found on the web.
References:
1) ELEC 301 Course Notes.
2) Standard Resistor and Capacitor Values list that can be found in the Other Mini Project Related
Handouts module on the course’s CANVAS web site.
3) A. Sedra and K. Smith, "Microelectronic Circuits," 5th (or higher) Ed., Oxford University Press,
New York.

Background
The hybrid-ð model contains five elements: rð, cð, cì, gm and ro (rx and rì have been ignored). You can
also ignore the small-signal capacitances, cð and cì, at low and mid-band frequencies. The other model
element values are either calculated based on the bias conditions (e.g., gm) or can be obtained from the
“h-parameters”. The h-parameter values may be obtained from the data sheets provided by the
transistor’s manufacturer and may depend on the bias point. For example, gm = IC/VT, where IC is the
collector bias current and VT is the thermal equivalent of voltage given by VT = kT/q, where k is
Boltzmann's constant, T is the temperature in degrees Kelvin, and q is the charge on an electron in
Coulombs. Also, rð is given by rð = â/gm, where â is the common-emitter current gain of the transistor.
Here we should note that, by definition, â at d.c. is the same as the h-parameter hFE. hFE is available in
transistor data sheets and is given for various bias points (often it is also plotted as a function of the bias
point).
There are three main configurations in which single transistors may be connected to amplify signals.
The convention is to name each configuration after the node that is shunted to the common voltage at
mid band, i.e., to VCC or ground. The three configurations are the common-emitter (CE), the
common-base (CB), and the common-collector amplifiers (CC); the collector amplifier is not covered
in this mini project.
In the following sections, you will design bias networks for the common emitter amplifier and you will
characterize the response of each type of amplifier.

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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 EMESTER1 MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 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