Lec9 Error Probability

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    TE312: Introduction to

    Digital Telecommunications

    PART IIBASEBAND DIGITAL

    TRANSMISSION

    Lecture #9Optimum Digital Receivers

    Error Performance

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    Introduction

    Reading Assignment

    Simon Haykin, Digital Communications,John Wiley & Sons, Inc., 1988, Chapter 6,Sec. 6.2.

    Simon Haykin, Communication Systems, 4th

    Ed., John Wiley & Sons, Inc., 2001, Chapter

    3, Sec. 3.7.

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    Probability of Bit Error (BER)

    One-Dimensional Signal Set

    Recall that

    ( ) ( ) ( )

    ( ) ( ) ( )

    1 11 1 12 2

    2 21 1 22 2

    s t s t s t

    s t s t s t

    = +

    = + 0 bt T

    A signal set is one-dimensional when ( )2 0t = ,

    12 22 0s s= = .

    2 21s=s1 11s=s( )1 t

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    Probability of Bit Error (BER)One-Dimensional Signal Set

    The MAP decision rule reduces to

    ( )

    ( )( )

    12 1

    2 12 1 1

    1ln

    2o

    pE E N T

    p s s

    +

    11 2 1 11 21

    2

    1

    2 lnop

    E E r s s Np

    r

    < +

    Defining a new Gaussian random variable L withsample value 2l r r1= , the decision rule becomes

    1

    1 2

    set if

    0

    b b

    l r r

    =

    = >

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    Probability of Bit Error (BER)

    Two-Dimensional Signal Set

    ( )

    ( )

    [ ]

    1 11

    2 22

    |

    |

    b

    b

    o

    E L s t s E

    E L s t s E

    Var L N

    = =

    = =

    =

    ( )( ) ( )2

    1

    1| exp

    22

    b

    L

    oo

    l Ef l s t

    NN

    =

    ( )( ) ( )2

    2

    1| exp

    22

    b

    L

    oo

    l Ef l s t

    NN

    + =

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    Probability of Bit Error (BER)

    Two-Dimensional Signal Set

    Probabil ity of making an error is given by

    22s 11s0T=

    ( )( )1|Lf l s t( )( )2|Lf l s t

    l

    ( ) ( )

    ( )( ) ( )( )

    1 2

    0

    1 20

    1 10 | 0 |2 2

    1 1 | |

    2 2

    e

    L L

    p P l s t P l s t

    f l s t dl f l s t dl

    = < + >

    = +

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    Probability of Bit Error (BER)

    /b oE N is the standard quality measure for digitalcommunication system performance.

    [ ]Q x is a monotonically decreasing function of.Hencex ep decreases with the increase in /b oE N .

    For fixed channel noise psd, o/bE N is increased byincreasing bE corresponding to an increase in the

    Euclidean distance between signals ( )1s t and ( )2s t .

    Different modulation methods can be comparedbased on the required / obE N for the fixed ep .

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    Error Performance for Line Codes

    Error performance for the line codes is determinedby probabil ity of bit error for an AWGN channel.

    The signal is corrupted by additive white Gaussiannoise of zero-mean and power spectral density(psd) / 2.

    oN

    The two bits are assumed to be equally likely, i.e.,

    1 2p p= .

    For comparison purpose, the amplitude of eachpulse is the same for all line codes.

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    Error Performance for Line Codes

    Signal vectors and1s

    2s

    1 1E = s , [ ]2

    2 10 where bE A T= =s

    Signal constellation diagram for the unipolar NZRline code is one-dimensional.

    2 0=s 1 1E=s

    / 2T E=

    1Z

    ( )1 t

    2Z

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    Error Performance for Line Codes

    Signal vectors and1s

    2s

    1 1E = s ,2

    2 2 1 2where bE E E A T = = = s

    Signal constellation diagram for the polar NZR linecode is one-dimensional.

    2 2E= s 1 1E=s

    0T=

    1Z

    ( )1 t

    2Z

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    Error Performance for Line Codes

    For an AWGN channel, the probability of bit error ep is expressed as

    avb1 22e

    o o

    EEp Q QN N

    = =

    The expression for ep applies for the polar RZ andManchester line codes.

    bt T=

    ( )1 t

    1r

    Threshold T=0

    Decisiondevice 1

    1

    bit 1 ifbit 0 if

    r Tb

    r T

    >=

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