ee354 : communications system i
DESCRIPTION
EE354 : Communications System I. Lecture 3,4: Correlation, Spectral density Distortion Aliazam Abbasfar. Outline. Fourier examples Signals correlation Energy/power spectral density Channel model Signal distortion. Fourier examples. DC : x(t) = 1 X(f) = d (f) - PowerPoint PPT PresentationTRANSCRIPT
Lecture 3,4: Correlation, Spectral densityDistortion
Aliazam Abbasfar
OutlineFourier examples
Signals correlationEnergy/power spectral density
Channel modelSignal distortion
Fourier examples DC : x(t) = 1 X(f) = (f) Impulse : x(t) = (t) X(f) = 1 Sign : x(t) = sgn(t) X(f) = 1/jf Step : x(t) = u(t) X(f) = 1/j2f+(f)
Impulse train:
x(t) = T0(t-nT0) X(f) = (f-nf0) Repetition
y(t) = repT(x) = x(t-nT)
Y(f) = 1/T X(n/T)(f-n/T)
Sampling
y(t) = combT(x) = x(nT)(t-nT)
Y(f) = 1/T X(f-n/T)
Energy and Power Signals
x(t) is an energy signal if E is finitex(t) is an power signal if P is finite
Energy signals have zero powerPower signals have infinite energy
dt|x(t)|E 2x
T/2
T/2
2
Tx dt|x(t)|
T
1limP
Power measurement PdBW = 10 log10(P/1 W) PdBm = 10 log10(P/1 mW) = PdBW + 30
Power gain g = Pout/Pin gdB = 10 log10( Pout/Pin)
Power loss L = 1/g = Pin/Pout LdB = 10 log10( Pin/Pout)
Transmission gain Pout = g1g2g3g4 Pin= g2g4 /L1L3 Pin in dB : Pout = g1 + g2 + g3 +g4 + Pin= g2 + g4 - L1 – L3 + Pin
Correlation of energy signalsCorrelation shows the similarity of 2 signalsCross-correlation of 2 signals
Auto-correlation of a signal
Example : pulse
)(y)x(τ)dt(tx(t)y)(R **xy
yx
2
xy EE)(R
)(x)x(τ)dt(tx(t)x)(R **xx
xxxxxx E)(RE(0)R
Correlation of power signalsCross-correlation of 2 power signals
Auto-correlation of a signal
Example : periodic signals
τ)(tyx(t)τ)dt(tyx(t)lim)(R *T/2
T/2
*
Txy
yx
2
xy PP)(R
xxxxxx P)(RP(0)R
τ)(tx(t)xτ)dt(tx(t)xlim)(R *T/2
T/2
*
Txx
Correlations for LTI systems
Ryx() = h() Rxx()
Rxy() = R*yx(-)= h*(-) Rxx()
Ryy() = h() h*(-) Rxx()
Energy/Power spectral densityEnergy/Power spectral density
ESD :
PSD :
Filtering :
)]([R(f)G xxx F
2
x X(f)(f)G
T
(f)Xlim(f)G
2
T
Tx
(f)GH(f)(f)Gh(t)x(t)y(t) x
2
y
Channel modelChannels are often modeled as LTI systems
h(t) : channel impulse responseH(f) : channel frequency response
Noise is added at the receiverAdditive noise
Lowpass and passband channels
Signal distortionDistortion-less transmission
y(t) = K x(t-td)
Channels distort signalsLinear distortion
Amplitude Phase (delay)
Time delay : td(f) = -(f)/2f Group delay : tg(f) = -1/2 d(f)/df
Non-linear distortion compression
Equalization used to cure linear distortionNoise amplification
ReadingCarlson Ch. 3.2, 3.3, 3.5, and 3.6
Proakis 2.3, 2.4