chapter5-2_mobile basics

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    Mathematical analysis of Nyquist criterion

    heff (t) = (t) p(t) hc(t) hr(t)

    p(t) = pulse shape of the symbolhc(t) = channel impulse responsehr(t) = receiver impulse response

    heff (t) should have fast decay with a small magnitude near

    the sample values for n 0 for a ideal channel, hc(t) = (t), it should be possible torealize or closely approximate shaping filters at bothreceiver and transmitter to produce the desired Heff (f)

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    Example :

    heff (t) = sin (t/Ts)(t/Ts)

    satisfies equation (1) but the filter is not causal (not buildable)

    Alternative filter

    heff (t) = sin (t/Ts) . z(t)(t/Ts)

    also satisfies the Nyquist criterion (1)

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    Raised Cosine roll-off filter

    Most popular pulse shaping filter used in mobilecommunications

    hRC (t) = sin (t/Ts)(t/Ts) [ cos (t/Ts) / {1 (4t/2Ts)2]

    As the value of a (rolloff factor) increases, the bandwidth

    of the filter also increases

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    As the value of a (rolloff factor) increases, the time

    sidelobe levels decrease.

    Implementation of raised-cosine filter

    Use identical [HRC (f)]1/2filters at transmitter and receiver

    Symbol rate possible through the raised cosine roll offfilter

    Rs= 1/Ts = 2B/ (1 + )

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    Where B is the absolute filter bandwidth

    Geometric representation of Digital Modulation Signals

    Modulation signal set S = {S1(t), S2(t),..... SM(t)}

    Binary M=2 M>2 M-ary

    No. Of bits of information possible = log2M bits/symbol

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    Types of Digital Modulation

    Linear Nonlinear Spread spectrum

    Amplitude oftransmitted signals(t) varies linearlywith message signal

    m(t)

    Amplitude ofcarrier isconstant

    Transmissionbandwidth >>minimumrequired signal

    bandwidth

    Bandwidth efficient useful foraccommodatingmore users in a

    limited spectrum QPSK (quadrature

    PSK) OQPSK (Offset PSK)

    Higher bandwidthbut highimmunity againstrandom FM noise

    FSK GMSK (Gaussian

    min. Shift keying) MFSK

    Inefficient forsingle user, butefficient formulti-users

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    /4 QPSK

    Linear modulation

    Quadrature Phase shift keying (QPSK)

    TS = symbol duration = 2 TB

    ES = Energy per symbol = 2 EB

    Constellation diagram Q (Quadrature)

    (Es)1/2

    I(in phase)

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    Properties of QPSK

    BPSK

    BW = 2 RB = 2 / TB

    QPSK

    BW = RB = 1 / TB

    Quadrature Phases = 0, /2, , 3/2

    Average probability of bit error is additive white Gaussiannoise

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    Pe,QPSK= Q[2 EB / N0]

    Non-linear or envelope modulation

    Binary Frequency shift keying

    The frequency of a constant amplitude carrier signal is

    switched between 2 values ( 1 and 0)

    SFSK=Vh(t)= (2Eb/Tb )1/2 cos [2fc +2f ]t, 0 t Tb (1)

    SFSK=Vl(t) = (2Eb/Tb )1/2 cos [2fc - 2f ]t, 0 t Tb (0)

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    Properties of QPSK

    Transmission BandwidthBT = 2f + 2B, B = Bandwidth digital baseband signal

    If a raised cosine pulse-shaping filter is usedBT = 2f + (1 + )R

    Probability of errorPe,FSK= Q[(EB / N0)

    1/2]

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    Spread Spectrum Modulation techniques

    Spread spectrum techniques employ a transmissionbandwidth >> minimum required signal bandwidth

    The system is inefficient for a single user, but is efficientfor many users

    Many users use the same bandwidth without significantly

    interfering with one another

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    Principle of spread spectrum technique

    Spread spectrum signals are pseudo random, andspreading waveform is controlled by a PN (pseudo noise) sequence or code

    Spread spectrum signals are demodulated at the receiverby cross correlation (matching) with the correct PNsequence

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    Advantages of spread spectrum techniques

    PN codes are approximately orthogonal, and the receivercan separate each user based on their codes

    Resistance to multipath fading, because of largebandwidths and narrow time widths

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    PN Sequences

    Pseudo Noise or Pseudo random sequence in a binarysequence that resembles the autocorrelation of a randombinary sequence

    PN sequence generated by using sequential logic circuits

    Very low cross correlation between any two sequences

    Very low correlation between shifted versions of thesequence

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    Frequency Hopped Spread spectrum (FH-SS)

    A frequency hopping signal periodically changes thecarrier frequency in a pseudo-random fashion. The set of

    possible carrier frequencies is called a hopset.

    Bandwidth of channel used in hopset Instantaneous

    bandwidth B Bandwidth of spectrum over which the hopping occurs

    total hopping bandwidth Wss

    Time duration between hops hopping period Ts Data is sent by hopping the transmitter carrier to

    seemingly random channels, small bursts of data are sentusing conventional narrow band modulation before T/Rhops again.

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    Frequency Hopping Modulator

    Frequency hopping

    Data signal

    Oscillator

    Modulator

    Frequency

    Synchronizer

    PN code

    generatorCode

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    Frequency hopping demodulator

    Frequency

    hopping Data

    signal

    Hit => Two users using the same frequency band at thesame time

    Properties of FH-SS

    WidebandFilter

    Frequency

    synthesizer

    PN codegenerator

    B P filter Demodulation

    Synchronizationsystem

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    Fast frequency hoppingMore than one frequency hop during each transmittedsymbol =>Hopping rate >= symbol rate

    Slow frequency hoppingHopping rate < symbol rate

    Probability of error for BPSKPe= 0.5exp(-Eb/ 2N0)(1 ph ) + 0.5 phph = probability of hit = 1 (1 1/M)

    k-1 (k-1) / M

    M possible hopping channels exists (slots)

    If there are K 1 interfering users

    Processing gain = Wss / B

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    Modulation performance in fading and multipath

    channels

    Slow, flat fading channels

    s(t) r(t)

    r(t) = (t) e-j(t) s(t) + n(t)(t) = gain of the channel(t) = phase shift of the channel

    n(t) = additive gaussian noise

    Average signal to noise ratio at receiver= (EB / N0)

    2, EB / N0 = bit energy to noise ratio

    Slow flat fading

    channel

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    Probability of error in slow flat fading channels

    Probability of error

    Pe=

    0Pe (X) p(X) dX

    Pe (X) = Probability of error for an arbitrary modulation at aspecific value of signal to noise ratio

    p(X) = pdf of X due to fading channel

    = (1 / )exp(-x / ) , x>=0 (for Rayleigh channel__

    = 2Eb / N0

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    Comparison of Pe (X) and Pe for different systems

    Coherent Binary PSK Pe (x) = Q[(2EB / N0)1/2]

    Pe = 0.5 [1 / (1+)]

    Coherent binary FSkPe (x) = Q[(EB / N0)1/2]

    Pe = 0.5 [1 / (2+)]

    Differential Binary PSKPe (x) = 0.5exp[(-EB / N0)]

    Pe = [0.5 / (1+)]

    Non-coherent orthogonal binary FSKPe (x) = 0.5exp[(-EB / 2N0)]

    Pe = [1 / (2+)]

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    Coherent GMSKPe (x) = Q{(2Eb)}Pe = 0.5 {1 [/(+ 1)]

    1/21/ 4

    =0.68, BT= 0.25, = 0.68=0.85, BT= , = 0.85BT= Bandwidth bit duration product for GMSK