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Antenna and Radiation

Jun 02, 2018

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    ECNG 6706 - Antennas and RadiationIntroduction

    Sean Rocke

    September 8

    th

    , 2014

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    Outline

    1 Course Introduction

    2

    Dig Comms Overview

    3 Course Tools

    4 Conclusion

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    Course Introduction

    Course Administration

    Lets take a look at the CourseOutline...

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    Dig Comms Overview

    Elements of a Digital Communications System

    Lets take a look at the CommsProgramme Overview...

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    Dig Comms Overview

    Communications Channels

    Wireline Channels

    Wireless Channels

    Fiber-Optic Channels

    Underwater Acoustic Channels

    Storage Channels

    THE BODY!!!!

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    Dig Comms Overview

    Mathematical Models for Communications Channels

    1 Additive Noise Channelr(t) = s(t) +n(t)

    2 Linear Time Invariant (LTI) Filter Channel

    r(t) =s(t) c(t) +n(t) =

    c()s(t )d+n(t)

    3 Linear Time-Variant (LTV) Fiter Channelr(t) =s(t) c(; t) +n(t) =

    c(; t)s(t )d+n(t)Mobile

    cellular channel example

    LTV filter -c(; t) =L

    k=1 k(t)( k)

    Received signal -r(t) =L

    k=1 k(t)s(t k) +n(t)

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    Course Tools

    ECNG 6706 Tools

    ECNG 6706 will leverage both analytical and computeraided tools foranalysis of digital communications systems:

    Analytical Tools:

    Mostly B.O.M.D.A.S.+ Trigonometry . . .Circuit Theory

    Electromagnetic Field TheoryProbability & Random Process TheoryLinear Algebra (i.e., Vector & Matrix Algebra)Signals and Systems Analysis (e.g., Fourier, Laplace)

    Computeraided Tools:

    MATLAB & Simulink (Simscape, SimRF, RF Toolbox, CommsToolbox,. . . )COMSOLSpreadsheets (seriously!) . . . :-)

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    C T l

    http://find/http://goback/
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    Course Tools

    Module 1 - Math Primer

    Polynomial approximations - Taylor & Maclaurins Series

    Sum/product of sines/cosines

    Complex envelope signal representation

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    Course Tools

    Polynomial Approximations

    Many exist (e.g., Taylor, Maclaurin,. . . )

    Taylor Series:

    Function representation as aninfinite seriesbased on value of

    functions derivativesat a single point

    f(x) =

    n=0f(n)(a)

    n! (x a)n =f(a) + f

    (a)1! (x a) +

    f(a)2! (x a)

    2 +

    Only works under certain conditions!!!

    Ifa= 0, Taylor series= Maclaurin series

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    Course Tools

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    Course Tools

    Polynomial Approximations

    Example 1:

    Using the Taylor series expansions ata=0, prove the following:

    1 ex =1 +x+ x2

    2! + x3

    3! + x4

    4! + x5

    5! +

    2 cos(x) =1 x2

    2! + x4

    4! x6

    6! + x8

    8!

    3 sin(x) =x x3

    3! + x5

    5! x7

    7! + x9

    9!

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    Course Tools

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    Course Tools

    Polynomial Approximations

    Figure:sin(x) and its Taylor series approximations, up to order 13. Source:Wikipedia.

    Question:

    So whats the point of the Taylor series for thiscourse?!?!

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    Course Tools

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    Course Tools

    Sum/product of sines/cosines

    Product Sum:cos(A)cos(B) = cos(AB)+cos(A+B)

    2

    sin(A)sin(B) = cos(AB)cos(A+B)2

    sin(A)cos(B) = sin(A+B)+sin(AB)2

    cos(A)sin(B) =

    sin(A+B)sin(AB)

    2Sum Product:

    sin(A) sin(B) =2sinAB

    2

    cos

    AB

    2

    cos(A) +cos(B) =2cosA+B

    2

    cos

    AB

    2

    cos(A) cos(B) = 2sinA+B

    2

    sin

    AB

    2

    Shifts:sin(A+

    2) =cos(A)

    cos(A+ 2) = sin(A)

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    Course Tools

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    Course Tools

    Complex Envelope

    Baseband SignalSignal with frequency content only in the vicinity of DC (i.e., 0Hz)Complex envelope: x(t) =xI(t) +jxQ(t)xI(t)- In-phase component, xQ(t)- Quadrature component

    Bandpass SignalSignal with frequency content not in the vicinity of DCx(t) = R[x(t)ejct]

    c=2fc- Carrier frequency

    Figure:Baseband vs Bandpass Spectrum. Based upon: Kolumban et al

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    Course Tools

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    Course Tools

    Complex Envelope

    Figure:Baseband Bandpass Conversion. Based upon: Kolumban et al(2012).

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    Course Tools

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    Receiver Architecture Examples

    Figure:Receiver Architecture Examples. Basedupon:Cruzetal(2010).

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    Course Tools

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    Transmitter Architecture Examples

    Figure:Receiver Architecture Examples. Based upon: Cruz et al (2010).

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    Course Tools

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    Transceiver IC Examples

    Figure:Analog Devices FMCOMMS 4 1x1 Agile RF Transceiver. Source:Analog.com.

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    Course Tools

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    KEy Concepts Review

    Baseband upconversion to bandpass can be achieved via

    modulation, requiring a mixer circuitBandpass downconversion to baseband can be achieved via

    demodulation, requiring a mixer circuit

    Mixing can be achieved using devices with nonlinear VI

    characteristics (e.g., diodes, transistors)Nonlinear characteristics produce mixing effect as seen from

    Taylor series expansion of some nonlinear functions

    Mixing produces output frequencies that are the sum and

    difference of the input frequencies (and possible harmonics)

    Filtering removes unwanted frequencies and harmonics

    Many transceiver architectures exist with different strengths and

    weaknesses, allowing for some choice in transceiver design for

    the various communications channel types

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    Conclusion

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    Conclusion

    We covered:

    Course Overview

    Dig Comms Systems Overview

    Course Tools

    Your goals for next class:

    Install and familiarize yourself with MATLAB

    Review readings on Radio Architectures in prep for next class

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    Q & A

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    Thank You

    Questions????

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