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EE 551451, Fall, 2006 Communication Systems

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Examples. Addition: ... Examples: PSK and ASK with their decision regions. Human ears only need ... Usage of Matlab. Signal Processing Toolbox. fdatool ... – PowerPoint PPT presentation

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Title: EE 551451, Fall, 2006 Communication Systems


1
EE 551/451, Fall, 2006Communication Systems
  • Zhu Han
  • Department of Electrical and Computer Engineering
  • Class 3
  • Aug. 29th, 2006

2
Signal Distortion during Transmission
  • Chapter 3.4
  • Equations
  • Examples
  • Addition AWGN, receiver noise
  • Scalar antenna, channel loss, satellite
    transponder (nonlinear)
  • Scaling A/D D/A
  • Time shift delay
  • Frequency shift Doppler (movement)
  • Time differentiation RL circuit
  • Time integration RC circuit
  • Phase

3
Distortionless Transmission
  • Definition y(t)kg(t-?), Y(w)kG(w)exp(-jw?)
  • Graphs example for time and frequency
  • Phase distortionless or amplitude distortionless
  • Examples PSK and ASK with their decision regions
  • Human ears only need amplitude distortionless
  • Video transmission needs phase distortionless

x(t)
Kx(t-t)
h(t)Kd(t-t)
X(f)
Kej2pftX(f)
H(f)Kej2pft
4
LTI channel
  • Linear time invariant channel
  • Linearity means that the relationship between the
    input and the output of the system satisfies the
    scaling and superposition properties.
  • Time invariance means that whether we apply an
    input to the system now or T seconds from now,
    the output will be identical, except for a time
    delay of the T seconds. More specifically, an
    input affected by a time delay should effect a
    corresponding time delay in the output, hence
    time-invariant.
  • Example 3.17

h(t)
d(t)
LTI System
5
Nonlinear Distortion
  • Cannot write convolution in time and multiply in
    frequency
  • Most system is nonlinear
  • Design issue is to transmit the signal in the
    linear range.
  • Examples of 3.18

6
Energy Spectrum Density
  • Parsevals Theorem
  • Energy Spectrum Density/Power Spectrum Density
  • How much energy in any narrow band of the
    spectrum
  • Definition G(w)2, matlab psd
  • Essential bandwidth of the signal example 3.20
  • Energy of modulated signals
  • Examples page 120
  • Base band energy divided by half to the modulated
    band.
  • Time autocorrelation function
  • Computation, definition
  • Relation with ESD
  • Relation of ESD between input, output and system

7
Multipath and Fading
  • Multipath causes frequency response fluctuation
  • Matlab example (psd)
  • Impulse function flat Multipath
  • Math g(t-c) lt-gt G(w)exp(-jw?)
  • Propagation loss G(D)-a, a2 to 6.
  • Slow fading (shadowing)
  • FM radio on the highway.
  • Fast fading
  • Definition fdvcos?/?
  • Doppler shifting cause time variance, frequency
    and phase changes

8
Filters
  • Ideal filter definition
  • Low pass, high pass, bandpass
  • Non-causal, infinite length of responses in time
    domain
  • Practical filters
  • Butterworth filter - no gain ripple in pass band
    and stop band, slow cutoff
  • Chebyshev filter(Type I) - no gain ripple in stop
    band, moderate cutoff
  • Chebyshev filter(Type II) - no gain ripple in
    pass band, moderate cutoff
  • Elliptic filter - gain ripple in pass and stop
    band, fast cutoff
  • Digital filter structure linear 1a1z-1a2z-2,
    , feedback
  • Equalizer con. Enhance noise

Equalizer
Channel
N(f)
H(f)
X(f)
X(f)N(f)/H(f)
1/H(f)

9
Filters
  • Examples
  • Tradeoff ripples in passband and stopband,
    cutoff

10
Usage of Matlab
  • Signal Processing Toolbox
  • fdatool
  • Examples
  • Homework
  • Sampling fs22.05KHz (44.1KHz CD) by source
    recoder
  • wavread to read it
  • fdatool lowpass, butterworth, order 5, reduce
    Fc, generate M file
  • filter
  • psd, legend, change the color and format of the
    lines, title, x,ylabel
  • sound
  • wavwrite

11
Homework
  • Due Sep 11th.
  • 3.5-3
  • 3.6-1
  • 3.6-2
  • 3.8-2
  • Matlab
  • Use source recorder, My name is ., save
    first_family.wav
  • Filter by 5000KHZ, 2000KHz, 1000Hz, and the
    minimal that you can understand.
  • Plot power spectrum density of input signal,
    filter, and the output signals.
  • Save the files with name first_family_Fs.wav and
    save filter files.
  • Print the figures and send me the wav and filter
    files.

12
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