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Meixia Tao @ SJTU Principles of Communications Prof. Meixia Tao Dept. of Electronic Engineering Shanghai Jiao Tong University Chapter 1: Overview of Communication Systems Selected from Chapter 1 of Fundamentals of Communications Systems, Pearson Prentice Hall 2005, by Proakis & Salehi

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  • Meixia Tao @ SJTU

    Principles of Communications

    Prof. Meixia TaoDept. of Electronic EngineeringShanghai Jiao Tong University

    Chapter 1: Overview of Communication Systems

    Selected from Chapter 1 of Fundamentals of Communications Systems, Pearson Prentice Hall 2005, by Proakis & Salehi

  • Meixia Tao @ SJTU

    Staff

    Lecturer: Meixia Tao

    o Office: Room 5-301A, SEIEE Buildingo Tel: 3420-7494-8004o Email: [email protected] Web: http://iwct.sjtu.edu.cn/personal/mxtao/

    TA: TBD

    2

  • Meixia Tao @ SJTU

    TextbookLecture Nodes (Very Important!): http://iwct.sjtu.edu.cn/personal/mxtao/teaching.html

    J. G. Proakis, 2005 , 2007

    3

  • Meixia Tao @ SJTU

    References

    An introduction to analog and digital communications, by Simon Haykin, 2nd edition, John Wiley & Sons, 2007

    , 2008.6

    4

  • Meixia Tao @ SJTU

    Objective The primary objective of this course is

    to introduce the basic techniques used in modern communication systems, and

    to provide fundamental tools and methodologies in analysis and design of these systems

    After this course, the students are expected to Understand the principles and technique of modulation,

    coding and transmission. Analyze the merits and demerits of current

    communication systems and to eventually design improved new systems

    5

  • Meixia Tao @ SJTU

    Syllabus (1/2) Ch01:Introduction (1week) Ch02:Signal, random process, and spectra (2 weeks) Ch03: Analog modulation (2 weeks) Ch04: Analog to digital conversion (1 week) Ch05: Digital transmission through baseband channels (2 weeks) Ch06: Signal space presentation (1 week) Ch07: Optimal receivers (1 week) Ch08: Digital modulation techniques (2 weeks) Ch09: Information theory (1week) Ch10: Channel Coding (1 week) Ch11: Synchronization (1 week)

    6

  • Meixia Tao @ SJTU

    Syllabus (2/2)

    Lab 1: Analog modulation Lab 2: Binary digital modulation techniques Lab 3: BPSK/QPSK-modulated wireless transmission system

    NI LabVIEW+USRP

    7

  • Meixia Tao @ SJTU

    Assessment Homework: 15%

    5 sets of homework 5-level grading (A+, A, B+, B, C) for each homework

    Labs: 15% 3 Lab reports + on-site demonstration

    Mid-term Test: 10% In-class open-book test

    Final Exam: 60%

    8

  • Meixia Tao @ SJTU

    What is Communication?The systems and processes that are used to conveyinformation from a source to a destination efficiently andreliably, especially by means of electricity or radio waves.

  • Meixia Tao @ SJTU

    Historical Review 1838: telegraph (S. Morse) 1876: telephone (A. Bell) 1895: radio by Marconi 1901: trans-atlantic

    communication

    Early 20th century: Most communication systems are analog. Engineering designs are ad-hoc, tailored for each

    specific application

    Nobel Prize for Physics (1909)

    10

  • Meixia Tao @ SJTU

    Modern Communication Systems

    11

  • Meixia Tao @ SJTU

    Fundamental Questions Is there a general methodology for designing commu-

    nication systems?

    Is there a limit to how fast one cancommunicate?

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  • Meixia Tao @ SJTU

    Harry Nyquist (1928)

    Continuous-time Discrete-time

    Sampling Theorem

    "Certain topics in telegraph transmission theory", Trans. AIEE, vol. 47, pp. 617644, Apr. 1928

    13

  • Meixia Tao @ SJTU

    Claude Shannon (1948)

    Information Theory

    Analog communication

    Digital communication

    Fundamental limits of source compression rate and channel transmission rate

    "A Mathematical Theory of Communication", Bell System Technical Journal. 1948

    14

  • Meixia Tao @ SJTU

    Basic Elements of Communications

    A slight variation from Shannons diagram of a general communication system

    OutputsignalInformation

    sourceInput

    Transducer Transmitter Channel ReceiverOutput

    Transducer

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  • Meixia Tao @ SJTU

    Communication Channels

    Common characteristics

    Channel

    Attenuation

    Distortion Noise

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  • Meixia Tao @ SJTU

    Wireless Electromagnetic Channels

    17

  • Meixia Tao @ SJTU

    Radio Spectrum

    18

  • Meixia Tao @ SJTU

    Radio Spectrum

    19

  • Meixia Tao @ SJTU

    Propagation Free-space propagation model

    : transmit power : receive power : transmit antenna gain

    : receive antenna gain : wavelength : distance

    200 meters

    100 meters

    Receives 1/4 of the power

    20

  • Meixia Tao @ SJTU

    Mathematical Models The additive noise channel

    Linear filter channel

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

    ( )n t

    +( )s t0

    ( ) ( ) ( ) ( )

    ( ) ( ) ( )

    r t s t h t n t

    h s t d n t

    = +

    = +( )n t( )h t

    21

  • Meixia Tao @ SJTU

    Linear time-variant filter channel

    Consider a multi-path signal propagation

    +( )s t( ) ( ) ( ; ) ( )

    ( ; ) ( ) ( )

    r t s t h t n t

    h t s t d n t

    = +

    = +( )n t( ; )h t

    1( ; ) ( ) ( )

    L

    k kk

    h t a t t =

    =

    22

  • Meixia Tao @ SJTU

    Types of Communications Systems

    Analog Communications

    Digital Communications 00011011110

    23

  • Meixia Tao @ SJTU

    Analog Communication Systems

    Source Modulator

    Channel

    DetectorOutput

    Transmitter

    Receiver

    Noise

    24

  • Meixia Tao @ SJTU

    Digital Communication Systems

    Source A/D converterSource encoder

    Channelencoder Modulator

    Channel

    DetectorChannel decoderSource decoder

    D/A converter

    User

    Transmitter

    Receiver

    Absent if source is

    digitalNoise

  • Meixia Tao @ SJTU

    Why Digital Communications? Robustness to channel noise

    and external Interference

    Security of information during its transmission from source to destination

    Integration of diverse sources information into a common format

    Low cost DSP chipsby very cheap VLSI designs

    26

  • Meixia Tao @ SJTU

    Performance Metrics of Communication Systems

    Reliability SNR for analog systems Bit error rate for digital systems

    Efficiency Bandwidth efficiency Energy efficiency

    Performance Tradeoff

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  • Meixia Tao @ SJTU

    Bandwidth Efficiency

    bits/sec/Hz= data rate Rbandwidth efficiencybandwidth W

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  • Meixia Tao @ SJTU

    =bit energy

    energy efficiencynoise power spectral density

    = Eb/No

    Energy Efficiency

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    Principles of CommunicationsStaffTextbookReferencesObjectiveSyllabus (1/2) Syllabus (2/2) AssessmentWhat is Communication?Historical ReviewModern Communication Systems Fundamental QuestionsHarry Nyquist (1928)Claude Shannon (1948)Basic Elements of Communications Communication ChannelsWireless Electromagnetic ChannelsRadio SpectrumRadio Spectrum 20Mathematical Models 22Types of Communications SystemsAnalog Communication SystemsDigital Communication SystemsWhy Digital Communications?Performance Metrics of Communication SystemsBandwidth EfficiencyEnergy Efficiency