Radio Propagation - Mobile Radio Channel - PowerPoint PPT Presentation

1 / 132
About This Presentation
Title:

Radio Propagation - Mobile Radio Channel

Description:

Radio Propagation - Mobile Radio Channel Propagation - Mobile Radio Channel Difficult environment due to random, time-varying phenomena as a result of signal ... – PowerPoint PPT presentation

Number of Views:253
Avg rating:3.0/5.0
Slides: 133
Provided by: lcf79
Category:

less

Transcript and Presenter's Notes

Title: Radio Propagation - Mobile Radio Channel


1
Radio Propagation - Mobile Radio Channel
2
Propagation - Mobile Radio Channel
  • Difficult environment due to random, time-varying
    phenomena as a result of signal reflections,
    diffractions and scattering (multi-path),
    relative motion, shadowing.
  • Main Impairments
  • Path loss - - attenuation with distance
  • Shadowing - - long-term variation of signal
    caused by
  • (slow fading) obstructions
    (hills,buildings,mountain,foliage
  • and for indoor
    wireless, walls, furniture
  • Multipath - - short-term signal variations due
    to multiple
  • (fast fading) reflections from buildings,
    walls and ground.

3
Path loss
  • Prediction of average received signal strength at
    a given distance from transmitter. Hundred to
    thousands meters ? Large scale propagation model.
  • Inverse power law

4
Path loss
  • Reflections arise when the plane waves are
    incident upon a surface with dimension that are
    very large compared to the wavelength.
  • Diffraction occurs according to Huygens
    principle when there is an obstruction between
    the transmitter and receiver antennas, and
    secondary waves are generated behind the
    obstructing bodies.
  • Scattering occurs when the plane waves are
    incident upon an object whose dimensions are on
    the order of a wavelength or less, and causes the
    energy to be redirected in many directions.

5
Figure 4.1 Description of a mobile radio
environment
6
Path loss
  • Base to mobile link length is usually lt 24 km.
  • Path loss model not considering radio horizon
    effect (radio path loss attributable to curvature
    of earth) is available for distance up to 24 km.
  • Local scatterers surrounding the mobile cause
    short term or fast fading.
  • The radius of the active scatterer region at 850
    MHz was found to be around 100 ?2. The active
    scatterer region moves with the mobile as its
    centre. Some scatterers become inactive as the
    mobile drove away from them while some become
    active as the mobile approach them.
  • When the operating frequency is lower, the
    propagation loss is smaller, the radius of the
    scatterer region becomes slightly larger.

7
Figure4.2 Schematic diagram of the propagation
loss
8
Path loss
  • Assume the receiver is moving at a constant speed
    V, distant r from transmitter is r Vt.
  • Variation of received signal strength or power
    with r can be viewed as variation with respect to
    time, t.

9
Path loss Mobile Radio Environment
  • Propagation between base station and mobile unit
    not only by way of line of sight (LOS) route, but
    via many paths, by way of scattering, by
    reflections from or diffraction around buildings
    and terrain.
  • Received signal by the mobile consists of a large
    number of plane waves whose amplitudes, phases,
    and angles of arrival relative to the direction
    of vehicle motion are random.
  • These plane waves interfere and produce a varying
    field strength pattern with minima and maxima
    spaced on the order of a quarter wavelength.
  • With the short wavelengths at the UHF and
    microwave frequencies, the received signal fades
    rapidly and deeply as the mobile moves through
    the interference pattern.

10
Path loss Multipath
  • Typical mobile channels (outdoors and indoors),
    often there is no LOS
  • path between transmitter and receiver.
    Received signal is the superposition of many
    (plane-wave) components of (approximately) equal
    power with random amplitude and phase that are
    independent.
  • The resultant signal shows constructive (large
    amplitude) and destructive (small amplitude)
    patterns ? time varying signal amplitude/ fading.
    Sum varies widely ? 30 to 40 dB.
  • Variability or rapid fluctuation of received
    signal strength in close
  • proximity to a particular location or over
    very short travel distances (a few ? ) or short
    time durations (order of seconds) ? small scale
    ?fading model.

11
Path loss Multipath
Figure4.3 Typical Profile of received signals
Raleigh fading envelope and phase.
Vehicular MS speed of 30mph,carrier frequency
of 900MHz
12
Doppler Shift
  • Mobile moving at a constant speed V. Difference
    in path lengths travelled by wave from remote
    source S to the mobile at points X and Y is

13
Doppler Shift
  • The phase change in the received signal due to
    the difference in path lengths is
  • Where is the wave propagation
    constant.
  • The apparent change in frequency or Doppler
    Shift is

14
Doppler Shift
  • Mobile moving toward the direction of the arrival
    of the wave, Doppler Shift is positive, that is
    the apparent received frequency is increased.
    Mobile moving away from the direction of the
    arrival of the wave, Doppler shift is negative,
    that is the apparent received frequency is
    decreased.
  • When , the Doppler shift is
    maximum. This leads to

15
Doppler ShiftExample
  • A transmitter radiates a CW of 1800 MHz.
    Calculate the maximum Doppler Shift experienced
    by a receiver on a vehicle moving at 100km/hr.
    Then compute the received carrier frequency if
    the mobile is moving (a) directly towards the
    transmitter, (b) at 90o to the direction of
    arrival of the transmitted wave and (c) at 30o to
    the direction of arrival of the transmitted wave.

16
Doppler ShiftExample
17
Doppler ShiftTransmission Coefficient T(t) .
  • Amplitude and phase of the received signal when a
    unit amplitude continuous wave (CW) signal is
    transmitted.
  • Transmitted
  • Mobile travels in the x-direction with speed V.
    Vehicle motion introduces a Doppler Shift in
    every wave

18
Doppler ShiftTransmission Coefficient T(t) .
  • Assume the transmitted field is vertically
    polarized. The E field seen at the mobile is

Rices model of narrowband gaussian noise
19
Doppler ShiftTransmission Coefficient T(t) .
  • is random phase of the n-th arriving wave,
    distributed uniformly over(0, 2p).
  • Received
  • Fading ? Decreases in the magnitude of T( t )
    with time as themobile moves through the
    interference pattern.

20
Doppler ShiftTransmission Coefficient T(t) .
  • Variations in the phase of T( t ) , ,as time
    is varied ??
  • ?random FM .
  • Variations in the amplitude and phase of T( t ) ?
    as the frequency is varied are called the
    frequency selective fading and phase distortion
    of the channel, respectively. (to be dealt with
    in a later section).

21
Doppler ShiftStatistics of amplitude and phase
of T(t)
  • T(t) is a complex stochastic process. With a
    given transmitted frequency fc, T(t) is the
    result of many received plane waves, each shifted
    in frequency by the Doppler Shift appropriate to
    the vehicle motion relative to the direction of
    the plane wave.
  • Thus, the received signal is the sum of a large
    number of sinusoids of comparative amplitude and
    random phase, whose frequencies are confined to
    the Doppler spread around fc.
  • This received signal conforms to the Rices
    model of narrowband Gaussian noise.

22
Doppler ShiftStatistics of amplitude and phase
of T(t)
  • For N sufficiently large, by central limit
    theorem, both TC(t) and TS(t) are zero mean
    Gaussian random processes. They are uncorrelated
    and independent with

23
Doppler ShiftStatistics of amplitude and phase
of T(t)
24
Doppler ShiftStatistics of amplitude and phase
of T(t)
25
Doppler ShiftStatistics of amplitude and phase
of T(t)
26
Doppler ShiftStatistics of amplitude and phase
of T(t)
With Rayleigh pdf
  • Tc and Ts are independent Gaussian random
    variables with zero means and variances.

27
Doppler ShiftStatistics of amplitude and phase
of T(t)
  • Tc and Ts are independent because they are
    uncorellated.
  • Their joint probability density is

28
Doppler ShiftStatistics of amplitude and phase
of T(t)
? Rayleigh pdf
29
Doppler ShiftStatistics of amplitude and phase
of T(t)
r and ? are independent random variables.
30
Doppler ShiftStatistics of amplitude and phase
of T(t)
  • Variance of r,

31
Doppler ShiftCorrelation Functions of T(t)
32
Doppler ShiftStatistics of amplitude and phase
of T(t)

33
Doppler ShiftStatistics of amplitude and phase
of T(t)
  • Consider
    as a wide sense
    stationary bandpass random process.

34
Doppler Shift Level crossing rate (LCR) and
average fade duration(AFD)
35
Doppler Shift Level crossing rate (LCR) and
average fade duration(AFD)
36
Doppler Shift Level crossing rate (LCR) and
average fade duration(AFD)
  • Relates time rate of change, to level of received
    signal envelope, and to speed of mobile.
  • Average number of level crossings per second at
    specified R

37
Doppler Shift Level crossing rate (LCR) and
average fade duration(AFD)
38
Doppler Shift Level crossing rate (LCR) and
average fade duration(AFD)
  • NR is a function of mobile speed is apparent from
    the presence of fm in (1).
  • Few crossings at both high and low level.
  • NR is proportional to the product
  • At high ?, NR is small because of
  • At low ?, NR is small because of ?.

39
Level Crossing Rates, NR
  • Expected rate at which envelope, r , crosses a
    specified level, R.
  • where the dot is time derivative and is
    the joint density function of r and at R r.
  • Rice gives

40
Level Crossing Rates, NR
  • Integrating expression (2) over from 0 to 2p
    and
  • from -8 to 8 , we get
  • Derivation of Probability Density Function
  • Recall that

41
Level Crossing Rates, NR
  • For N sufficiently large, by central limit
    theorem, both TC(t) and TS(t) are zero mean
    Gaussian random processes. For a fixed t, they
    are uncorrelated and independent zero mean
    Gaussian random variables with
  • variance
  • Now

42
Level Crossing Rates, NR
  • For a fixed t, they are also uncorrelated and
    independent zero mean Gaussian random variables
    with variance.
  • The joint pdf of multivariate Gaussian random
    variable
  • is
  • Where M is covariance matrix.

43
Level Crossing Rates, NR
44
Level Crossing Rates, NR
45
Level Crossing Rates, NR
46
Level Crossing Rates, NR
  • Substituting (3) into (1) we get

47
Level Crossing Rates, NR
  • Derivation of b0

48
Level Crossing Rates, NR
  • Derivation of b2

49
Level Crossing Rates, NR
50
Level Crossing Rates, NR
51
Level Crossing Rates, NR
  • Signal envelopes experience deep fades only
    occasionally, but shallow fades are frequent.
  • Maximum number of level crossings occurs at 3dB
    below rms level.

52
Level Crossing Rates, NR
Fig. Fading RateLevel crossing rate of vertical
monopole
53
Level Crossing Rates, NR Average duration of
fade
  • This is found by dividing the fading rate into
    the cumulative probability distribution

Fig. Average duration of fade
54
Level Crossing Rates, NR Average duration of
fade
55
Level Crossing Rates, NRTime Delay Spread and
Coherence Bandwidth
  • The results on fading derived so far are based on
    the assumption of a CW signal (un-modulated
    carrier) and that there is no difference between
    the arrival times of the multipath waves
  • In fact, differences exist in the multi-path
    delays.
  • Consider a CW being transmitted to a mobile unit.

56
Level Crossing Rates, NR Time Delay Spread and
Coherence Bandwidth
57
Level Crossing Rates, NR Time Delay Spread and
Coherence Bandwidth
  • All scatterers associated with a certain path
    length can be located on an ellipse with the
    transmitter and receiver at its foci.
  • TAR and TBR have the same arrival angle but
    different time delays.
  • TBR and TCR have the same time delays but
    different angle of arrival.
  • The received field is sum of a number of waves,

58
Level Crossing Rates, NR Time Delay Spread and
Coherence Bandwidth
  • nth wave arriving at an angle composed of M
    waves with propagation delay times Tnm. All these
    M waves experience the same Doppler shift,
  • fn is maximum when
  • Note that actually the argument of each cosine
    term in (1) should be

59
Level Crossing Rates, NR Time Delay Spread and
Coherence Bandwidth
  • Since
  • Here, Cnm is determined from
  • which is fraction of the incoming power within
    da of the angle a and within dT of the delay T,
    in the limit with N and M very large.

60
Level Crossing Rates, NR Time Delay Spread and
Coherence Bandwidth
  • Now consider propagation of signal that occupies
    a finite bandwidth.
  • Consider two frequency components within the
    signal bandwidth.
  • If the frequencies are close together, then the
    different propagation paths will have
    approximately the same electrical length for both
    components. Their amplitude and phase variations
    will be very similar.
  • Provided the signal bandwidth is sufficiently
    small, all frequency
  • components within it behave similarly and
    flat fading is said to exist.

61
Level Crossing Rates, NR Time Delay Spread and
Coherence Bandwidth
  • If the frequency separation is large enough, the
    behavior at one frequency tends to become
    uncorrelated with or independent from that at the
    other frequency, because the phase shifts along
    the various paths are different at the two
    frequencies.
  • The maximum frequency difference for which the
    CWs are still strongly correlated is called the
    coherence bandwidth of the mobile transmission
    channel.
  • Coherence Bandwidth is proportional to the
    inverse of the delay spread or the magnitude of
    the difference between the delay times.

62
Level Crossing Rates, NR Time Delay Spread and
Coherence Bandwidth
  • Typical spreads in time delays range from a
    fraction of a µ-seconds to many µ-seconds. Longer
    spreads in urban and shorter spreads in suburban
    areas.
  • Signals that occupy a bandwidth greater than the
    coherence bandwidth will become distorted since
    the amplitudes and phases of the various spectral
    components in the received signal are not the
    same as they were in the transmitted
    signal.?Frequency selective fading.

63
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
  • In this section, we are interested to derive the
    Envelope Correlation Function or Envelope
    Correlation Coefficient between two CWs as a
    function of frequency separation and time
    separation.
  • Two CWs at ?1 and ?2,

64
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
  • For large enough N and M, xi(t) s are Gaussian
    random processes. (By Central Limit Theorem).

65
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
  • Now we are interested in the correlation of the
    envelope of the CWs as a function of both time
    separation, ?t, and frequency separation,
  • Define, for fixed t,
  • These r.v. can also be written in terms of their
    envelopes and phases,

66
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
  • Moments of the r.v.s, ltxi,xj gt
  • The average will vanish unless np and mq, which
    gives

67
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
  • In the limit as N, M ? 8
  • By similar arguments

68
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
69
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
70
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
  • Recall
  • Similarly,

71
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
  • Now these moments are parameters in the joint pdf
    of
  • Transforming the rvs to the
    amplitudes and phases, we get the corresponding
    pdf in terms of and .

72
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
  • Where
  • Now assume an exponential distribution of the
    delay spreads and a uniform distribution in angle
    of the incident power.

73
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
  • Assume also that . The quantities in
    (17) may be worked out with the help of (10) to
    (15).
  • Equation (15),

74
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
75
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
76
Level Crossing Rates, NR Envelope Correlation
Function or Envelope Correlation Coefficient
  • Using integration by parts on (19), can show that
  • In summary,

  • (21)

77
Level Crossing Rates, NR Envelope correlation
coefficient
78
Level Crossing Rates, NR Envelope correlation
coefficient
  • where

79
Level Crossing Rates, NR Frequency Selective
Fading
  • Two CWs separated by a finite frequency range,
    propagating in a medium, do not observe the same
    fading.
  • Frequency selective fading is closely related to
    the time delay spread, .
  • Considering correlation in two frequencies but no
    time or space separation. That is

80
Level Crossing Rates, NR Frequency Selective
Fading
  • Let as a criterion for determining
    the coherence bandwidth, we have from (27),

  • (28)
  • Coherence bandwidth is inversely proportional to
    time delay spread.


81
Level Crossing Rates, NR Frequency Selective
Fading
82
Level Crossing Rates, NR Coherence Time
  • Letting ?f 0,we have from (27)
  • Again using as a criterion
    for correlatedness in time, we have

83
Level Crossing Rates, NR Coherence Time
84
Level Crossing Rates, NR Spatial correlation
of the envelope
  • Many mobile radio systems employ antenna
    diversity, where spatially separated antennas
    provide multiple faded replicas of the same
    information-bearing signal.
  • What should be the antenna separation to provide
    uncorrelated antenna diversity branches?
  • Consider two places separated by d. The mobile
    receiver is moving at speed V. The correlation
    function in terms of ?t is equivalent to that in
    terms of the distance d Vt.

85
Level Crossing Rates, NR Spatial correlation
of the envelope
  • Assuming a uniform and noting that
    , we have
  • The auto-covariance is zero at 0.38?, and is less
    than 0.3 for
  • As a rule of thumb, uncorrelated diversity
    branches can be obtained at the mobile station by
    placing the antenna elements about a half
    wavelength apart.

86
Level Crossing Rates, NR Spatial correlation
of the envelope
  • Base station space diversity

Figure 4.5 Analytical model for spatical
correlation at a base station
87
Level Crossing Rates, NR Spatial correlation
of the envelope
  • The above result cannot usually be applied to a
    base station, since the uniform arrival angle is
    hardly satisfied.
  • Because of the height of the base station
    antenna, there are few scattering objects around
    the base station.
  • Since the arrival angle is not uniformly
    distributed, and the range of the arrival angle,
    correspondingly, the spread of the Doppler
    frequencies becomes smaller. Therefore, the time
    or spatial correlation at a base station becomes
    broad. (Recall that autocorrelation function is
    Fourier Transform of power spectrum).

88
Level Crossing Rates, NR Spatial correlation
of the envelope
  • A spatial separation of the order of 10 ? is
    required for a base station diversity system.
  • The fact that the active scatterers are moving
    with the mobile while the base station is
    standing still, can be viewed equivalently, as
    the active scatterers are standing still while
    the base station is moving at a speed V.

89
Level Crossing Rates, NR Coherence Bandwidth
and Power Delay Profile
  • In the derivation of the envelope correlation
    coefficient ,it is assumed that
    the wave arrival angle and path delay are
    statistically independent. That is
  • This assumption makes it possible to express both
    µ1 and µ2 as the product of a function of ?f only
    and a function of ?t only. That is

90
Level Crossing Rates, NR Coherence Bandwidth
and Power Delay Profile
  • where

91
Level Crossing Rates, NR Coherence Bandwidth
and Power Delay Profile
  • Similarly
  • Now

92
Level Crossing Rates, NR Coherence Bandwidth
and Power Delay Profile
93
Level Crossing Rates, NR Coherence Bandwidth
and Power Delay Profile
  • Exercise Find an expression for the coherence
    bandwidth of a mobile radio channel modelled by a
    two-path power delay profile

94
Level Crossing Rates, NR Coherence Bandwidth
95
Level Crossing Rates, NR Coherence Bandwidth
96
Rician Distribution
  • Rayleigh fading model is suitable for urban areas
    where high-rise building often block the line of
    sight (LOS) path between transmitter and
    receiver.
  • When a LOS exists in addition to the multipath
    waves from scatterers
  • ? Rician Fading Model.
  • ? Suburban areas, micro or pico-cellular.

97
Rician Distribution
  • Received signal y(t)

98
Rician Distribution

99
Rician Distribution
100
Rician Distribution
101
Rician Distribution
  • Modified Bessel function of the first
    kind and order zero.
  • For A0, I 0(0) 1, p(r) above reduces to the
    Rayleigh pdf.
  • The pdf of the phase ? is given by

102
Rician Distribution
103
Rician DistributionLog-normal Shadowing
  • Random shadowing effects which happen over a
    large number of measurement locations which have
    the same Transmitter-Receiver (T-R) separation
    but different level of clutter along the
    propagation path.
  • Local mean signal strength (that is, the signal
    strength averaged over the Rayleigh fading) in an
    area at a fixed radius from a particular base
    station antenna is log-normally distributed.
  • The received power at a mobile at distance d is

104
Rician DistributionLog-normal Shadowing
  • r is a Rayleigh distributed r.v., e?accounts for
    the shadowing ( ? isGaussian with zero mean and
    variance ), Kd -? is the deterministic loss
    law, and PT is the transmitter power.
  • Averaging the received signal strength over the
    Rayleigh fading, we get

105
Rician DistributionLog-normal Shadowing
106
Rician DistributionLog-normal Shadowing
107
Rician DistributionLog-normal Shadowing
  • Example The local mean signal strength in areas
    at a fixed radius from a particular base station
    is log-normally distributed. Suppose the mean
    value of this local mean signal strength is 5 dBm
    and that the standard deviation is 6 dB. What is
    the particular local mean signal level, ? dB, so
    that the probability of it being exceeded is 10?
  • Solution

108
Rician Distribution Log-normal Shadowing
109
Time-delay Spread modulation effects
  • The concepts of time delay spread and coherence
    bandwidth have been dealt with in the last
    Section for CW signals only, that is without
    considering the effect of modulation. Now we
    consider modulation effects.
  • Multipath channel causes delayed echoes of the
    transmitted signal, each with Rayleigh amplitude
    and uniform phase.
  • If these delays are such that their spread is a
    significant fraction (gt50) of the symbol
    duration or exceeds symbol duration ? smearing
    of the transmitted signal, i.e. Inter-Symbol
    Interference (ISI).

110
Time-Delay Measurements
111
Delay Spread Function h(t, t)
  • Transmitted signal x(t)
  • complex envelope or low-pass equivalent
    signal ? containing the modulation.
  • Received waveform from paths with delay
  • This is already the result of superposition of
    many waves coming fromall directions, but with
    delays of the order of
  • grouped together.

112
Delay Spread Function h(t, t)
  • Note that and are random
    processes, which means that the effect of Doppler
    spread is already included.
  • Relate
  • The received signal is then
  • where

For a large number of paths, can consider the
received signal as a continuum of multipath
components.
113
Delay Spread Function h(t, t)
  • all between and are grouped
    together.

114
Delay Spread Function h(t, t)
  • ? Delay Spread function or Impulse Response of
    channel.

115
Delay Spread Function h(t, t)
  • ? Since
  • For a linear time invariant system

h(t) Channel response to a impulse at t 0.
116
Delay Spread Function h(t, t)
  • For a time-variant channel, the response to an
    impulse applied at t ? will not have the same
    shape as the response to an impulse applied at t
    0.
  • Introduce channel response for an
    impulse applied at t ?, From (2), instead of
    we have , therefore

117
Delay Spread Function h(t, t)
  • now let
  • Recalling from (1) that
  • we have

Channel response at t to an impulse applied at
time t - t,that is applied at t seconds in the
past.
118
Delay Spread Function h(t, t)
119
Delay Spread Function h(t, t)
120
Delay Spread Function h(t, t)
Fig. Examples of random channel impulse response
in two dimensions (a) time-variant channel
121
Delay Spread Function h(t, t)
Fig. Examples of random channel impulse response
in two dimensions (b) time-invariant channel
122
Delay Spread Function h(t, t)Channel
Classification
  • In this section since we have included modulation
    in the analysis, we can relate Bc and Tc to Bs
    and fm .
  • Frequency flat, multiplicative (time selective
    fading).
  • Bs ltlt Bc,
  • where, Bs signal bandwidth, Bc coherence
    bandwidth.

123
Delay Spread Function h(t, t)Channel
Classification
  • All frequency components in U(f) undergo the same
    attenuation and linear phase shift through the
    channel.
  • since U(f) has its
    frequency content concentratedin the vicinity of
    f 0.

124
Delay Spread Function h(t, t)Channel
Classification
  • If rate of change of as(t ) with t is smaller
    than rate of change of u(t) with t, then shape of
    signal pulse is preserved. However it undergoes
    amplitude fading whenever dips.
  • Frequency selective, time flat channels.
  • Received signal duration (time during which
    signal is in flight) less than coherence time.
  • Ts lt Tc ? Channel appears to the signal as
    time invariant.
  • ? Time flat
    channels.

125
Delay Spread Function h(t, t)Channel
Classification
  • However frequency
    selectivity means Bs gt Bc ,which implies that the
    signal spectrum U(f) will be modified by the
    multiplication with H(f). Shape of received
    waveform distorted.
  • Also for digital transmission,
  • Inter-Symbol-Interfe
    rence (ISI).

126
Delay Spread Function h(t, t)Classification of
Multi-path Fading
  • 2 Channel parameters
  • (1) Multi-path (rms) spread / coherence BW
  • captures the multi-path channel conditions
    via delay-spread (in-time) or amplitude
    correlation (in frequency).

127
Delay Spread Function h(t, t)Classification of
Multi-path Fading
  • (2) Doppler spread / Coherence Time

captures the rate of multi-path channel
variations via spread of carrier (in frequency)
or correlation of channel impulse response (in
time).
128
Delay Spread Function h(t, t)Two System Design
Parameters
  • (1) Symbol Period Ts
  • (2) Transmission BW Bs
  • Narrowband (PSK / QAM) Wideband (Spread -
    Spectrum)

129
Delay Spread Function h(t, t)Classification
Based on Multipath Spread
  • Flat (Freq. Non-select Fading) Freq.-Select
    Fading

Transmitted pulse shape is Transmitted pulse
shape (relatively) undisturbed, but is
distorted. amplitude fades with time
130
Delay Spread Function h(t, t) For Narrowband
Modulation
  • ? Flat Fading ?? No Inter-symbol Interference
    (ISI).
  • Frequency Selective Fading

131
Delay Spread Function h(t, t)For Wideband
Modulation
  • Suppose (no ISI)
  • However, it is possible that
  • But ,Frequency-Selectivity.
  • For wide-band signals, possible to have no ISI
    and frequency selectivity simultaneously.

132
Delay Spread Function h(t, t) Classification
Based on Doppler Spread
  • Fast Fading Slow Fading
  • Large Doppler Spread Small Doppler Spread
  • ? Channel variations ? Channel variation
    slower
  • faster than baseband than baseband signal
    variation
  • signal, variations. channel is
    approximately invariant
  • over
    several symbol duration.
Write a Comment
User Comments (0)
About PowerShow.com