analog electronics 2 - ics905 - télécom paristech · the radio channel tx-rx distortions and...
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Analog Electronics 2ICS905
G. Rodriguez-GuisantesDépt. COMELEC
http://perso.telecom-paristech.fr/∼rodrigez/ens/cycle_master/
November 2016
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The radio channel Tx-Rx Distortions and M-QAM
Schedule
• Radio channel characteristics ;• Analysis and conception of the couple Tx-Rx ;• M-QAM Modulation - theoretical analysis ;• Distortions in M-QAM ;
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The radio channel Tx-Rx Distortions and M-QAM
Schedule
• Radio channel characteristics ;• Analysis and conception of the couple Tx-Rx ;• M-QAM Modulation - theoretical analysis ;• Distortions in M-QAM ;
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The radio channel Tx-Rx Distortions and M-QAM
Schedule
• Radio channel characteristics ;• Analysis and conception of the couple Tx-Rx ;• M-QAM Modulation - theoretical analysis ;• Distortions in M-QAM ;
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The radio channel Tx-Rx Distortions and M-QAM
Schedule
• Radio channel characteristics ;• Analysis and conception of the couple Tx-Rx ;• M-QAM Modulation - theoretical analysis ;• Distortions in M-QAM ;
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The radio channel Tx-Rx Distortions and M-QAM
Radio-channel characteristicsMicroscopic effects
Transmitted signal :s(t) = Re{u(t).ej2πfct} = I(t) cos(2πfct)−Q(t) sin(2πfct)
fc carrier frequency - u(t) BB with Bs Hz.
Received Signal :
r(t) = Re
N(t)∑n=0
αnu(t− τn(t)).ej{2πfc(t−τn(t))+φDn }
φn(t) = 2πfcτn(t)− φDn ,
r(t) = Re
ej2πfct.
N(t)∑n=0
αnu(t− τn(t)).e−jφn(t)
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The radio channel Tx-Rx Distortions and M-QAM
Radio-channel characteristicsMicroscopic effects
Transmitted signal :s(t) = Re{u(t).ej2πfct} = I(t) cos(2πfct)−Q(t) sin(2πfct)
fc carrier frequency - u(t) BB with Bs Hz.
Received Signal :
r(t) = Re
N(t)∑n=0
αnu(t− τn(t)).ej{2πfc(t−τn(t))+φDn }
φn(t) = 2πfcτn(t)− φDn ,
r(t) = Re
ej2πfct.
N(t)∑n=0
αnu(t− τn(t)).e−jφn(t)
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The radio channel Tx-Rx Distortions and M-QAM
Components of fading
n corresponds to a path of length
Ln → τn = Ln/c
αn(t) = attenuation.φDn =
∫2πfDn (t) dt = Doppler fc,
fDn (t) = v cos θn(t)λ ,
θn(t) angle relative to the mouvementdirection.
Paths are solvable if |τj − τi| � B−1s
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The radio channel Tx-Rx Distortions and M-QAM
Impact of fading
If the delay dispersion is small compared to B−1s ∼ Ts
⇒ narrowband fading ;If the delay dispersion is big compared to B−1
s ∼ Ts⇒ wideband fading ;
Delay spreadThe delay dispersion is called Delay spread of the channel → Tm.
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The radio channel Tx-Rx Distortions and M-QAM
Impact of fading
If the delay dispersion is small compared to B−1s ∼ Ts
⇒ narrowband fading ;If the delay dispersion is big compared to B−1
s ∼ Ts⇒ wideband fading ;
Delay spreadThe delay dispersion is called Delay spread of the channel → Tm.
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The radio channel Tx-Rx Distortions and M-QAM
Impact of fading
If the delay dispersion is small compared to B−1s ∼ Ts
⇒ narrowband fading ;If the delay dispersion is big compared to B−1
s ∼ Ts⇒ wideband fading ;
Delay spreadThe delay dispersion is called Delay spread of the channel → Tm.
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The radio channel Tx-Rx Distortions and M-QAM
Model narrowband
If Tm � Ts.
If τi represents the ith delay, so τi ≤ Tm :
u(t− τi) ' u(t).
r(t) = Re
{u(t) ej2πfct
(∑n
αn(t) e−jφn(t))
︸ ︷︷ ︸A(t)
}.
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The radio channel Tx-Rx Distortions and M-QAM
Model narrowband
If Tm � Ts.
If τi represents the ith delay, so τi ≤ Tm :
u(t− τi) ' u(t).
r(t) = Re
{u(t) ej2πfct
(∑n
αn(t) e−jφn(t))
︸ ︷︷ ︸A(t)
}.
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The radio channel Tx-Rx Distortions and M-QAM
Model widebandIn this case Tm � Ts.
Conclusion : if Tm � Ts → ISI
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The radio channel Tx-Rx Distortions and M-QAM
Doppler effect
This phenomenon represents the variability of the channel in time :
The mean dispersion of the frequency beside the carrier is calledDoppler spread BD of the channel.
We call Coherence time of the channel, the duration of a completecycle of dynamics induced by the Doppler efect.
Tc ≈ 1/BD
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The radio channel Tx-Rx Distortions and M-QAM
Doppler effect
This phenomenon represents the variability of the channel in time :
The mean dispersion of the frequency beside the carrier is calledDoppler spread BD of the channel.
We call Coherence time of the channel, the duration of a completecycle of dynamics induced by the Doppler efect.
Tc ≈ 1/BD
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The radio channel Tx-Rx Distortions and M-QAM
A "Resumé"Delay Spread - TmDelay spread give us a good idea of the dispersive characteristics ofthe channel in time.Doppler Spread - BD
Doppler dispersion give us a good idea of the variability of thechannel.ParametersMean delay spread ↔ Coherence bandwidth
Tm ↔ Bc
Coherence time ↔ Doppler dispersion
Tc ↔ BD
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The radio channel Tx-Rx Distortions and M-QAM
A "Resumé"Delay Spread - TmDelay spread give us a good idea of the dispersive characteristics ofthe channel in time.Doppler Spread - BD
Doppler dispersion give us a good idea of the variability of thechannel.ParametersMean delay spread ↔ Coherence bandwidth
Tm ↔ Bc
Coherence time ↔ Doppler dispersion
Tc ↔ BD
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The radio channel Tx-Rx Distortions and M-QAM
A "Resumé"Delay Spread - TmDelay spread give us a good idea of the dispersive characteristics ofthe channel in time.Doppler Spread - BD
Doppler dispersion give us a good idea of the variability of thechannel.ParametersMean delay spread ↔ Coherence bandwidth
Tm ↔ Bc
Coherence time ↔ Doppler dispersion
Tc ↔ BD
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The radio channel Tx-Rx Distortions and M-QAM
Channel models
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The radio channel Tx-Rx Distortions and M-QAM
"Etat de l’art"
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The radio channel Tx-Rx Distortions and M-QAM
Scheme of Tx-Rx
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The radio channel Tx-Rx Distortions and M-QAM
Scheme of Tx-Rx
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The radio channel Tx-Rx Distortions and M-QAM
Scheme of Tx-Rx
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The radio channel Tx-Rx Distortions and M-QAM
Scheme of Tx-Rx
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The radio channel Tx-Rx Distortions and M-QAM
Baseband Modulation
Transmitted Signal :
s(t) = Re{u(t).ej2πfct} = I(t) cos(2πfct) + j.Q(t) sin(2πfct)
fc carrier frequency - u(t) baseband signal.
u(t) = I(t) + j.Q(t)
Complex representation
I(t)− In− phase component
Q(t)−Quadrature phase component
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The radio channel Tx-Rx Distortions and M-QAM
Baseband modulation
Digital modulation : build u(t) as a functions of source(discrete)states changes.Heuristic approach :{αn} state sequence of source → u(t) impulse superposition !Example :S maxentropic binary source, {αn} = . . . 0 1 1 0 0 1 . . .
{an} = · · · −A +A +A −A −A +A . . .
u(t) =∑n
an.h(t− nT )
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The radio channel Tx-Rx Distortions and M-QAM
Baseband modulation
Digital modulation : build u(t) as a functions of source(discrete)states changes.Heuristic approach :{αn} state sequence of source → u(t) impulse superposition !Example :S maxentropic binary source, {αn} = . . . 0 1 1 0 0 1 . . .
{an} = · · · −A +A +A −A −A +A . . .
u(t) =∑n
an.h(t− nT )
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The radio channel Tx-Rx Distortions and M-QAM
Baseband modulation
Digital modulation : build u(t) as a functions of source(discrete)states changes.Heuristic approach :{αn} state sequence of source → u(t) impulse superposition !Example :S maxentropic binary source, {αn} = . . . 0 1 1 0 0 1 . . .
{an} = · · · −A +A +A −A −A +A . . .
u(t) =∑n
an.h(t− nT )
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The radio channel Tx-Rx Distortions and M-QAM
Baseband modulationu(t) is built in two operations :• bits → amplitudes ;• amplitudes → waveforms (thanks h(t) !).
In this example : I(t) =∑n an.h(t− nT ), Q(t) = 0.
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The radio channel Tx-Rx Distortions and M-QAM
Baseband modulation
How to choose {an} ?• Modulator architecture simplicity ;• Spectral efficiency (η = D/BW ) ;• Demodulator architecture simplicity ;• Synchronization simplicity ;• Probability of error (Pb) ;• Robustness to RF imperfections.
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The radio channel Tx-Rx Distortions and M-QAM
Baseband modulation
How to choose {h(t)} ?• simplicity of the BB filter ;• Spectral efficiency (η = D/BW ) ;• ISI (Nyquist) ;• Power amplifier performance ;• PAPR.
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The radio channel Tx-Rx Distortions and M-QAM
Vectorial description of {an}Amplitudes {an} are represented by real or complex numbers
In the previous case : 0 → −A 1 → +AViewed in the complex plane I −Q, this modulation can berepresented by :
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The radio channel Tx-Rx Distortions and M-QAM
Vectorial description of {an}Each « vector » carries 1 information bitOnly one complex dimension is required !
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The radio channel Tx-Rx Distortions and M-QAM
Vectorial description of {u(t)}h(t) do the “temporal link” between the discrete “vectors”.
Two ways to realize h(t) :• h(t) limited in time → h(t) 6= 0 t ∈ [0, T ) ;• h(t) Nyquist.
h(nT ) ={
1 pour n = 0 ;0 ∀n 6= 0.
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The radio channel Tx-Rx Distortions and M-QAM
Vectorial description of {u(t)}
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The radio channel Tx-Rx Distortions and M-QAM
Vectorial description of {u(t)}
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The radio channel Tx-Rx Distortions and M-QAM
u(t) ∈ C
u(t) =∑n
an.h(t− nT )
an = {A+ jA;−A+ jA;−A− jA;A− jA}
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The radio channel Tx-Rx Distortions and M-QAM
u(t) ∈ C
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The radio channel Tx-Rx Distortions and M-QAM
Generalization to the M th order
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The radio channel Tx-Rx Distortions and M-QAM
Advantages of order M
Each complex symbol represents :
N = log2M bits
Ts = N.Tb
R = D
N
this means a great economy in bandwidth Bw !
Unfortunately, a significant increase in Eb/N0to have the same performances !
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The radio channel Tx-Rx Distortions and M-QAM
Spectral efficiency
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The radio channel Tx-Rx Distortions and M-QAM
M-QAM Modulation - theoretical analysisEmitted signal
s(t) =∑n
anht(t− nT )
Received signal
r(t) =∑n
anhRx(t− nT ) + b(t)
où
hRx(t) = ht(t) ∗ hc(t) ∗ hr(t)
Sampled received signal
r(kT + τ) =∑n
anhRx(kT + τ − nT ) + b(kT + τ)
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The radio channel Tx-Rx Distortions and M-QAM
M-QAM Modulation - theoretical analysis (2)
r(k) =∑n
anhRx(k − n) + b(k)
r(k) = hRx(0).ak︸ ︷︷ ︸symbole k
+∑n6=k
anhRx(k − n)
︸ ︷︷ ︸IES
+ b(k)︸︷︷︸bruit
∑k
HRx(f + k
T) = T.hRx(0)
HRx(f) ={T |f | ≤ 1
2T0 |f | > 1
2T .
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The radio channel Tx-Rx Distortions and M-QAM
M-QAM Modulation - theoretical analysis (3)
HRx(f) =
T 0 ≤ |f | ≤ 1−α2T
T2
(1− sin[πTα (f − 1
2T )])
1−α2T < |f | < 1+α
2T .
Raised cosine filter
hRx(t) = cos(απt/T )1− 4α2t2/T 2 sinc(t/T ).
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The radio channel Tx-Rx Distortions and M-QAM
M-QAM Modulation - Performance in AWGN
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The radio channel Tx-Rx Distortions and M-QAM
M-QAM Modulation - Structure of Tx/Rx
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The radio channel Tx-Rx Distortions and M-QAM
Distortions
Distortion sources :
• channel linear distortion ;• Tx distortions ;• Rx distortions.
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The radio channel Tx-Rx Distortions and M-QAM
Channel distortions - M-QAM
Possible sources :• bandwidth limitation ;• frequency selectivity (fading ) ;
If Bc ≪ 1T ISI !
ISI impact on Tx signal
At sampling times, signal is not at “RV” !
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The radio channel Tx-Rx Distortions and M-QAM
Channel distortions - M-QAM
Possible sources :• bandwidth limitation ;• frequency selectivity (fading ) ;
If Bc ≪ 1T ISI !
ISI impact on Tx signal
At sampling times, signal is not at “RV” !
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The radio channel Tx-Rx Distortions and M-QAM
Channel distortions - M-QAM
Possible sources :• bandwidth limitation ;• frequency selectivity (fading ) ;
If Bc ≪ 1T ISI !
ISI impact on Tx signal
At sampling times, signal is not at “RV” !
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The radio channel Tx-Rx Distortions and M-QAM
Example - BPSK
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The radio channel Tx-Rx Distortions and M-QAM
Example - QPSK
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The radio channel Tx-Rx Distortions and M-QAM
Impact of ISI - Dispersion diagrams
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The radio channel Tx-Rx Distortions and M-QAM
Impact of ISI - Dispersion diagrams
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The radio channel Tx-Rx Distortions and M-QAM
Dispersion diagrams - 16-QAM
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The radio channel Tx-Rx Distortions and M-QAM
Psymb - M-QAM in Rayleigh chanel
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The radio channel Tx-Rx Distortions and M-QAM
Equalisation
The idea consists to suppress the distortion induced by channel.
two ways to solve this problem :– frequency domain filtering ;– deconvolution in time (with the good IR !).
Three techniques are possible :• linear equalization ;• decision feedback equalization ;• sequence estimation equalization.
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The radio channel Tx-Rx Distortions and M-QAM
Equalisation
The idea consists to suppress the distortion induced by channel.
two ways to solve this problem :– frequency domain filtering ;– deconvolution in time (with the good IR !).
Three techniques are possible :• linear equalization ;• decision feedback equalization ;• sequence estimation equalization.
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The radio channel Tx-Rx Distortions and M-QAM
Equalisation
The idea consists to suppress the distortion induced by channel.
two ways to solve this problem :– frequency domain filtering ;– deconvolution in time (with the good IR !).
Three techniques are possible :• linear equalization ;• decision feedback equalization ;• sequence estimation equalization.
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The radio channel Tx-Rx Distortions and M-QAM
Linear equalizationModel
It’s a linear filter with IR : c(kT ) =∑+Nk=−N c(k).z−kT
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The radio channel Tx-Rx Distortions and M-QAM
Zero forcing and MSE criteria
Model
The filtre coefficients can be calculateur as :• suppress the ISI in and sample interval (−N ; +N) → Zero
Forcing ;• minimise the mean error distortion → EQM .
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The radio channel Tx-Rx Distortions and M-QAM
Zero forcing and MSE criteria
If h(n) = y(n) ∗ c(n), we call Mean square error ;
MSE = 1h2(0)
+∞∑k=−∞;k 6=0
h2(n)
To minimize the ISI, minimise the MSE
MSE = ε =
+∞∑k=−∞;k 6=0
h2(n)
− h2(0)
This is a quadratic fonction of the coefficients → classic problemin spectral estimation (Levinson-Durbin).
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The radio channel Tx-Rx Distortions and M-QAM
Zero forcing and MSE criteria
If h(n) = y(n) ∗ c(n), we call Mean square error ;
MSE = 1h2(0)
+∞∑k=−∞;k 6=0
h2(n)
To minimize the ISI, minimise the MSE
MSE = ε =
+∞∑k=−∞;k 6=0
h2(n)
− h2(0)
This is a quadratic fonction of the coefficients → classic problemin spectral estimation (Levinson-Durbin).
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The radio channel Tx-Rx Distortions and M-QAM
Zero forcing and MSE criteria
If h(n) = y(n) ∗ c(n), we call Mean square error ;
MSE = 1h2(0)
+∞∑k=−∞;k 6=0
h2(n)
To minimize the ISI, minimise the MSE
MSE = ε =
+∞∑k=−∞;k 6=0
h2(n)
− h2(0)
This is a quadratic fonction of the coefficients → classic problemin spectral estimation (Levinson-Durbin).
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The radio channel Tx-Rx Distortions and M-QAM
Example MSE-16-QAM, 3 coeffs channel
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The radio channel Tx-Rx Distortions and M-QAM
The End
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