multiband transceivers - [chapter 1]
TRANSCRIPT
Multiband RF Transceiver SystemChapter 1
From Basics to RF Transceivers李健榮助理教授
Department of Electronic EngineeringNational Taipei University of Technology
Outline
• Definition of dB
• Phasor
• Modulation
• Transmitter Architecture
• Demodulation
• Receiver Architecture
• From Fourier Transform to Modulation Spectrum
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Definition of dB
• , where
• Power gain
• Voltage gain
• Power (dBW)
• Power (dBm)
• Voltage (dBV)
• Voltage (dBuV)
( )dB 10 log G= ⋅ ( )aG b=
2
110 log P
P = ⋅
2
120 log V
V = ⋅
( )10 log 1-WP= ⋅
( )10 log 1-mWP= ⋅
( )20 log 1-VoltV= ⋅
( )20 log 1- VV
µ= ⋅
Relative (Ratio, unitless, dB)
Absolute (Have unit, dBW, dBm, dBV…)
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In some textbooks, phasor may be
represented as
Euler’s Formula
• Euler’s Formula states that: cos sinjxe x j x= +
( ) ( ) ( ){ } { }cos Re Rej t j j tp p pv t V t V e V e eω φ φ ωω φ += ⋅ + = ⋅ = ⋅
( )cos sindef
jp p pV V e V V jφ φ φ φ= ⋅ = ∠ = +• Phasor :
� Don’t be confused withVector which is commonly denoted as .A�
phasor
A real signal can be represented as:
V
V
( ) ( )cospv t V tω φ= ⋅ +
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Euler’s Trick on the Definition of e
2 3
lim 1 11! 2! 3!
nx
n
x x x xe
n→∞
= + = + + + +
…
x jx=
( ) ( )2 3 2 4 3 5
1 11! 2! 3! 2! 4! 3! 5!
jx jx jxjx x x x xe j x
= + + + + = − + − + + − + − +
… … …
• Euler played a trick : Let , where 1j = −
1lim 1
n
ne
n→∞
= +
6/33
2 4
cos 12! 4!
x xx = − + − +…
3 5
sin3! 5!
x xx x= − + − +…
cos sinjxe x j x= +
cos sinjxe x j x− = −
cos2
jx jxe ex
−+=
sin2
jx jxe ex
j
−−=
• Use and
we have
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Coordinate Systems
x-axis
y-axis
x-axis
y-axis
P(r,θ)
θ
rP(x,y)
2 2r x y= +1tan
y
xθ −=
cosx r θ=siny r θ=
� Cartesian Coordinate System � Polar Coordinate System
(x,0)
(0,y)
( )cos ,0r θ
( )0, sinr θ
Projectionon x-axis
Projectionon y-axis
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Sine Waveform
x-axis
y-axis
P(x,y)
x
yr
θ θθ
y
θ0 π/2 π 3π/2 2π
� Go along the circle, the projection on y-axis results in a sine wave.
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x
θ
0
π/2
π
3π/2
Cosine Waveform
x-axis
y-axis
θ
� Go along the circle, the projectionon x-axis results in a cosine wave.
� Sinusoidal waves relate to aCirclevery closely.
� Complete going along the circle tofinish a cycle, and the angleθrotates with 2π rads and you areback to the original starting-pointand. Complete another cycle again,sinusoidal waveformin one periodrepeats again. Keep going along thecircle, the waveform willperiodically appear.
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Complex Plan (I)
It seems to be the same thing with x-y plan, right?
• Carl Friedrich Gauss (1777-1855) defined the complex plan.He defined the unit length on Im -axis is equal to “j”.A complex Z = x + jy can be denoted as (x, yj) on the complex plan.(sometimes, ‘j’ may be written as ‘i’ which represent imaginary)
Re-axis
Im-axis
Re-axis
Im-axis
P(r,θ)
θ
rP(x,yj)
2 2r x y= +1tan
y
xθ −=
cosx r θ=siny r θ=
(x,0j)
(0,yj)
( )cos ,0r θ
( )0, sinr θ
( )1j = −
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Complex Plan (II)
Re-axis
Im-axis
1
Every time you multiply something by j, that thing will rotate 90 degrees.
1j = − 2 1j = − 3 1j = − − 4 1j =
1*j=jj
j* j=-1
-1
-j-1*j=-j -j* j=1
(0.5,0.2j)(-0.2, 0.5j)
(-0.5, -0.2j)(0.2, -0.5j)
• Multiplying j by j and so on:
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Sine Waveform
Re-axis
Im-axis
P(x,y)
x
yr
θ θθ
y = rsinθ
θ0 π/2 π 3π/2 2π
To see the cosine waveform, the same operation can be applied to trace out the projection on Re-axis.
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Phasor Representation (I) – Sine Basis
( ) ( ) { } { }sin Im Imj j t j jsv t A t Ae e Ae eφ ω φ θω φ= + = =
Re-axis
Im-axis
P(A,ϕ)
y = Asinϕ
θ0 π/2 π 3π/2 2π
ϕ
tθ ω=
Given the phasor denoted as a point on the complex-plan, you should know itrepresents a sinusoidal signal. Keep this in mind, it is veryimportant!
time-domain waveform
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Phasor Representation (II) – Cosine Basis
( ) ( ) { } { }cos Re Rej j t j jsv t A t Ae e Ae eφ ω φ θω φ= + = =
Re-axis
Im-axis
P(A, ϕ)
y = Acosϕ
θ0 π/2 π 3π/2 2π
ϕ
tθ ω=
time-domain waveform
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Phasor Representation (III)
( ) ( ) { }11 1 1 1sin Im j j tv t A t Ae eφ ωω φ= + =
Re-axis
Im-axis
P(A1, ϕ1)
ϕ1
P(A2, ϕ2)
P(A3, ϕ3)
θ0 π/2 π 3π/2 2π
tθ ω=
A1sinϕ1
( ) ( ) { }22 2 2 2sin Im j j tv t A t A e eφ ωω φ= + =
( ) ( ) { }33 3 3 3sin Im j j tv t A t A e eφ ωω φ= + =
A2sinϕ2
A3sinϕ3
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Phasor Everywhere
• Circuit Analysis, Microelectronics:Phasor is often constant.
• Field and Wave Electromagnetics, Microwave Engineering:Phasor varies with the propagation distance.
• Communication System:Phasor varies with time (complex envelope, envelope, orequivalent lowpass signal of the bandpass signal).
( ) ( )5cos 1000 30sv t t= + � 5 30sV = ∠ �
( ) ( ) ( ) ( ) ( ){ }, cos cos Re j x t j x tv x t A x t B x t Ae Beβ ω β ωβ ω β ω − − += − + + = +
( ) j x j xV x Ae Beβ β−= +
( ){ }Re j tV x eω=
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Modulation
• Why modulation?� Communication
� Bandwidth
� Antenna Size
� Security, avoid Interferes, etc.
Voice
Electric signal
AudioEquipment
AudioEquipmentModulator Demodulator
Electric signal
Voice
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Amplitude Modulation
( ) ( ) cos 2m BB cs t s t A f tπ= ⋅
Baseband real signal
Voice
Electric signal
AudioEquipment
AudioEquipmentModulator Demodulator
Electric signal
Voice
( )BBs tcos2 cA f tπ
Carrier (or local)
High-frequency sinusoid
Amplitude-modulated signal(AM signal)
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Frequency Modulation
( ) ( ){ }cos 2m c f BBs t A f K s t tπ = + ⋅
Voice
Electric signal
AudioEquipment
AudioEquipmentModulator Demodulator
Electric signal
Voice
Baseband real signal
( )BBs tcos2 cA f tπ
Carrier (or local)
High-frequency sinusoid
Frequency-modulated signal(FM signal)
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Phase Modulation
Voice
Electric signal
AudioEquipment
AudioEquipmentModulator Demodulator
Electric signal
Voice
( ) ( )cos 2m c p BBs t A f t K s tπ = + ( )cos 2 c BBA f t tπ φ= +
Baseband real signal
( )BBs tcos2 cA f tπ
Carrier (or local)
High-frequency sinusoid
Phase-modulated signal(PM signal)
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Linear Modulation
( ) ( ) ( )cos 2m BB c BBs t A t f t tπ φ= ⋅ +
Voice
Electric signal
AudioEquipment
AudioEquipmentModulator Demodulator
Electric signal
Voice
Baseband real signal
( )BBs tcos2 cA f tπ
Carrier (or local)
High-frequency sinusoid
Linear-modulated signal
( )BBs t ( ) ( ), ?BB BBA t tφ
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Linear Modulation
• Consider a modulated signal
( ) ( ) ( ) ( ) ( ){ }2cos 2 Re c BBj f t t
m BB c BB BBs t A t f t t A t e π φπ φ + = ⋅ + = ⋅
( ) ( ) ( ) ( ) ( ){ }2 2Re Re cos sinBB c cj t j f t j f tBB BB BB BBA t e e A t t j t eφ π πφ φ = ⋅ = ⋅ +
( ) ( ) ( ) ( ) ( ) ( )cos sinBBj tl BB BB BB BBs t A t e A t t j tφ φ φ= ⋅ = ⋅ +
( ) ( ) ( ) ( ) ( ) ( )cos sinBB BB BB BBA t t jA t t I t jQ tφ φ= ⋅ + ⋅ = +
( ) ( ) ( ) ( ){ }Re cos2 sin 2m c cs t I t jQ t f t j f tπ π= + ⋅ +
( ) ( )cos 2 sin 2c cI t f t Q t f tπ π= −
Time-varying phasor (information in both amplitude and phase)
( )BBs t : real
( )ls t : complex
Modulated signal is the linear combination of I(t), Q(t), and the carrier. Thus the linear modulator is also called “I/Q Modulator,” and it is an universal modulator.
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Linear Modulator
• The modulator accomplishes the mathematical operation.
( ) ( ) ( ) ( ) ( ){ }Re cos sin cos 2 sin 2m BB BB BB c cs t A t t j t f t j f tφ φ π π= ⋅ + +
( ) ( ) ( ) ( )cos cos2 sin sin 2BB BB c BB BB cA t t f t A t t f tφ π φ π= −
( ) ( )cos 2 sin 2c cI t f t Q t f tπ π= −
( )I t
cos ctωsin ctω−
( )Q t
( )ms t
( )I t
cos ctωsin ctω
( )Q t
( )ms t
+
− 90�
( )I t
cos ctω
( )Q t
( )ms t
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I component Q component
I channel Q channel
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Transmitter Architecture (I)
• Linear Transmitter
90�
( )I t
cos ctω
( )Q t
( )ms t
Power Amplifier(PA)
Antenna
Bas
eban
d
Pro
cess
or
90�cos ctω
( )ms t
Power Amplifier(PA)
Antenna
Matching /BPF
Matching
( )I t
( )Q t
Bas
eban
d
Pro
cess
or
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Transmitter Architecture (II)
• Polar Transmitter
( ) ( ) ( ) ( ){ } ( ) ( ){ }22cos 2 Re Re c BBcj f t tj f t
m BB c BB l BBs t A t f t t s t e A t e π φππ φ + = ⋅ + = ⋅ = ⋅
( )BBA t
cos ctω
( )ms t
Switching-mode PA
Antenna
PhaseModulator
Matching
( )BBA t
( )BB tφ
Bas
eban
d
Pro
cess
or
AmplitudeModulator
• Linear regulator• PWM modulator• Class-S modulator
• Linear modulator to generate PM signal• Frequency synthesizer or PLL-based PM modulator
• Analog scheme: EER
( ){ }2Re c BBj f t te
π φ+
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Linear Demodulation
( ) ( ) ( ) ( ) ( )cos 2 cos2 sin 2m BB c BB c cs t A t f t t I t f t Q t f tπ φ π π= ⋅ + = −
( ) ( ) ( ) ( ) ( ) ( ) ( )2 1 1cos2 cos 2 sin 2 cos2 cos4 1 sin 4 sin0
2 2m c c c c c cs t f t I t f t Q t f t f t I t f t Q t f tπ π π π π π= − ⋅ = ⋅ + − ⋅ +
( ) ( ) ( ) ( ) ( ) ( ) ( )2 1 1sin 2 cos2 sin 2 sin 2 sin 4 sin0 1 cos4
2 2m c c c c c cs t f t I t f t f t Q t f t I t f t Q t f tπ π π π π π− = − + = − ⋅ + + ⋅ −
( ) ( ) ( )cos4 sin 4
2 2 2c c
I t I t Q tf t f tπ π
= + −
( ) ( ) ( )sin 4 cos4
2 2 2c c
Q t I t Q tf t f tπ π
= − +
?Receiver
( )ms t ( )BBs t
Received modulated signal:
Multiplied by “cosine”:
Multiplied by “ −−−− sine”:
High-frequency components (should be filtered out)
High-frequency components (should be filtered out)
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Linear Demodulator
( )I t
cos ctωsin ctω−
( )Q t
( )ms t
LPF
LPF
( )I t
( )Q t
( )ms t
LPF
LPF
90�cos ctω
( ) ( ) ( ) ( ) ( )BBj tl BBs t A t e I t jQ tφ= ⋅ = +
( ) ( ) ( )2 2BBA t I t Q t= +
( ) ( )( )
1tanBB
Q tt
I tφ −=
BasebandProcessing
Original Information (or data)( )I t
( )Q t
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Receiver Architecture
• Linear Receiver (direct conversion)
90�
( )I t
cos ctω
( )Q t
( )ms t
Low Noise Amplifier(LNA)
Bas
eban
d
Pro
cess
orLPF
LPF
Matching /BPF
90�
( )I t
cos ctω
( )Q t
( )ms t
Low Noise Amplifier(LNA)
Bas
eban
d
Pro
cess
orLPF
LPF
Matching
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Digital Modulation
• I(t) and Q(t) for digital transmission?
• Assume thatI(t) and Q(t) are pulses at TX,I(t) and Q(t)waveforms will be recovered ideally after the demodulationprocess, of course, pulses.
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( ) ( ) ( )cos 2 sin 2m c cs t I t f t Q t f tπ π= −
( )I t
cos ctωsin ctω−
( )Q t
( )ms t
LPF
LPF
( )I t
cos ctωsin ctω−
( )Q t
TX RX
Assume the LPF has asufficiently wide bandwidth torecover the pulse waveform.
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• A Quadrature Phase Shift Keying (QPSK) signal is a goodexample.
Quadrature Phase Shift Keying
( )I t
( )Q t
( )1,1
( )1, 1−( )1, 1− −
( )1,1−
cA+
cA+cA−
cA−
Constellation
( )I t
cos ctωsin ctω−
( )Q t
S/PConverter
BinaryBaseband
Data( )I t
( )Q t
BinaryBaseband
Data
bT
2 bTt
S/P Converter
� The linear combination shows that the QPSK signalhas 4 different phase states(1 symbol = 2 bits = 4states).
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Symbol
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• Phase transition in QPSKsignal due to simultaneous transitionof I(t) andQ(t).
Phase Transition
( )I t
( )Q t
S/PConverter
BinaryBaseband
Data
( )I t
( )Q t
t
( )I t
( )Q t
( )1,1
( )1, 1−( )1, 1− −
( )1,1−
cA+
cA+cA−
cA−
Constellation
Constant envelope
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Bandwidth Consideration (I)
• A rectangular waveformhas many frequency componentscovering within a wide bandwidth. For many reasons, themodulation spectrumoccupying such a wide bandwidth is notpreferable.
( ) ( ) ( )cos 2 sin 2m c cs t I t f t Q t f tπ π= −
( )I t
cos ctωsin ctω−
( )Q t
TX
f
f
f
( )mS f
How to limit the bandwidth?
cf
cff
0
0
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Bandwidth Consideration (II)
• Is that good to limit the bandwidth at passband?
( )I t
cos ctωsin ctω−
( )Q t
TX
BPF
cff
channel
f
( )I t
cos ctωsin ctω−
( )Q t
BPF2
BPF1
BPFnchannel
f
channelchannel
Requiring many BPFs for each channel is impractical
selector
cf
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Bandwidth Consideration (III)
• Limit the bandwidth at baseband –Pulse Shaping
( )I t
cos ctωsin ctω−
( )Q t
LPF
LPF
f
t
0
f
t
0
f0
f0
cff
The low-pass filter is use to shape thewaveform, thus called “pulse shapingfilter,” or “shaping filter.”
Constant envelope (before shaping)
180� 180�90�
Time-varying envelope (after shaping)
Smooth the sharp transition
( )1,1( )1,1−( )Q t
( )I t
( )1, 1−( )1, 1− −
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Band-limiting and Inter Symbol Interference (I)
• Nyquist Filter :Produce pulse shapes with no ISI at each sampling instant
Brick-wall LPF
IFT
Sinc shape
Raised Cosine Filter
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Band-limiting and Inter Symbol Interference (II)
• Gaussian Filter :Time domain response is Gaussian as well, it exhibits no overshot or ringing in thetime domain. This smooth well-behaved impulse response results in very littleISI
� Reduce bandwidth : Smaller BT causes even faster spectral roll-off , but this has a price, smaller BT cause more ISI.
� Relative bandwidth BT = (filter BW) / (Bite rate)
Power spectra of MSK and GMSK Signals for varying BT
BT=0.2
BT=0.25
BT=0.3
Impulse response
MSK : BT is infinite(no filter)
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Optimum Receiver
( )I t
cos ctωsin ctω−
( )Q t
( )ms t
LPF
LPF
( )I t
cos ctωsin ctω−
( )Q t
LPF
LPF
TX RX
Matched Filter
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Picture of a Practical Transceiver
( )I t
cos ctωsin ctω−
( )Q t
LPFFilter
Filter
DAC
DAC LPF
Digital Processor
Digital pulse shaping filter
Waveform recovery filterfor DAC
Data (bits)Waveform
(digital, M-bits)Quantized Waveform (analog)Recovered Waveform (analog)
( )I t
cos ctωsin ctω−
( )Q t
( )ms t
LPF
LPF
Filter
Filter
Digital Processor
Matched filter orcorrelator
ADC
ADC
Demodulated Waveform (analog)
Sampled Waveform (digital)
Decision
Decision
Data (bits)
Mixing spurs remover
Encoder and decoder are notincluded here for simple.
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Modulation in Frequency Domain
• Spectrum of a Real Signal
• AM, PM, and Linear Modulated Signal
• Concept of Complex Envelope
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Modulation Spectrum (I)
• From Euler’s Formula :
• AM signal (DSB-SC)
cos2
jx jxe ex
−+=
A “ real signal” is composed of positive and negative frequency components.
( ) ( )cos2m cs t A t f tπ=
Two-sided amplitude frequency spectrum
( ) ( )2 1000 2 1000150cos 2 1000
2j t j tt e eπ ππ × − ×× = +
2525
0 Hz 1 kHz1 kHz−f
One-sided amplitude frequency spectrum
50
0 Hz 1 kHz
( )50cos 2 1000tπ ×
f
t( ) ( )BBs t A t=
ff
cf0 Hzcf−0 Hz
USBLSBUSBLSBLSBUSB
cos2 cf tπ
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“ real signal”
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PhaseModulator
Modulation Spectrum (II)
t( )BBs t
f0 Hz
USBLSBcos2 cf tπ
( ) ( )2 2
2 2c cj t j tj f t j f tA A
e e e eφ φπ π− −= +
( ) ( )( )cos 2m cs t A f t tπ φ= +
( ){ } ( ){ }2 2Re Rec cj f t t j t j f tA e A e eπ φ φ π+ = ⋅ = ⋅
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“ real signal”
fcf0 Hzcf−
USBLSBLSBUSB
“complex”“complex” “ real”
• PM signal
Complex conjugate
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Modulation Spectrum (III)
I/QModulator
t( )BBs t
f0 Hz
USBLSBcos2 cf tπ
( ) ( ) ( ) ( )2 2
2 2c cj t j tj f t j f tA t A t
e e e eφ φπ π− −= +
( ) ( ) ( )( )cos 2m cs t A t f t tπ φ= +
( ) ( ){ }2Re cj t j f tA t e eφ π= ⋅
“ real signal”
• I/Q modulated signal
( )I t
( )Q t
fcf0 Hzcf−
USBLSBLSBUSB
“complex”“complex” “ real”
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Complex conjugate
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Concept of the Complex Envelope (I)
• Bandpass real signal :
( ) ( ) ( )( ) ( ) ( ) ( ) ( )2 2cos 22 2
c cj t j tj f t j f tm c
A t A ts t A t f t t e e e eφ φπ ππ φ − −= + = +
( ) ( ) ( ) ( )2 21 1
2 2c cj t j tj f t j f tA t e e A t e eφ φπ π− −= +
( )ls t ( )ls t∗
( )lS f∗( )lS f
Complex timed value
Spectrum
( ) ( ) ( ) ( )2 21 1
2 2c cj t j tj f t j f tA t e e A t e eφ φπ π− −= +
( ) 2 cj f tls t e π⋅ ( ) 2 cj f t
ls t e π−∗ ⋅
( )l cS f f−
Complex timed value
Spectrum( ) ( ) ( )1
2m l c l cS f S f f S f f∗ = − + − −
fcf0 Hzcf−
USBLSBLSBUSB
( )1
2 l cS f f−( )1
2 l cS f f∗ − −
Spectrum of the bandpass signal
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( )l cS f f∗ − −
Concept of the Complex Envelope (II)
• Equivalent low-pass signal (complex envelope):
f0 Hz
( )lS f
cfcf−
( ) 21
2cj f t
ls t e π⋅( ) 21
2cj f t
ls t e π−∗ ⋅
( ) ( ) ( ) ( ) ( )j tls t A t e I t jQ tφ= = +
( ) ( ) ( )1
2m l c l cS f S f f S f f∗ = − + − −
fcf0 Hzcf−
USBLSBLSBUSB
( ) ( )1
2I t jQ t+
Spectrum of the bandpass signal
( ) ( )1
2I t jQ t−
( )ms t
( ) ( ) ( ) ( ) ( )BBj tls t A t e I t jQ tφ= = +
complex envelope
( ) ( ) ( ) ( ) ( ) 2cos 2 Re cj t j f tm cs t A t f t t A t e eφ ππ φ = ⋅ + = ⋅
( ) ( ){ }2Re cj f tI t jQ t e π= +
complex envelopecarriercarrier2 cj f te π
carrier
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Summary
• In this chapter, the phasor was introduced to manifest itself inthe mathematical operation for communication engineering.
• A modulated signal is a linear combination ofI(t), Q(t), andthe carrier. This mathematical combination can be realizedwith a practical circuitry, say, “modulator.”
• The demodulation is the decomposition of the modulatedsignal, which is the reverse process to recover the basebandsignalI(t) andQ(t).
• The modulated signal can be viewed as a complex envelopecarried by a sinusoidal carrier. With this equivalent lowpassform to represent a bandpass system, the mathematicalanalysis can be easily simplified.
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