CNU Dept. of Electronics D. J. Kim1 Lecture on Communication Theory Chapter 5. Noise in CW...
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Transcript of CNU Dept. of Electronics D. J. Kim1 Lecture on Communication Theory Chapter 5. Noise in CW...
CNU Dept. of Electronics
D. J. Kim1
Lecture on Communication Theory
Chapter 5. Noise in CW Modulation System
5.1 Introduction - Receiver Noise (Channel Noise) :
additive, White, and Gaussian 으로 가정
5.2 Receiver Model
1. RX Model
N0 = KTe where K = Boltzmann’s constant
Te = equivalent noise Temp.
Average noise power per unit bandwidth
Sw(f)
Rw()
)(2
N 0
2
N 0
f
2
N density spectral power Gaussian, and white,additive, : )t(w - 0
CNU Dept. of Electronics
D. J. Kim2
Lecture on Communication Theory
- Band Pass Filter (Ideal case)
w(t) n(t)
- filtered noise as narrow-band noise
n(t) = nI(t)cos(2fCt) - nQ(t)sin(2fCt)
where nI(t) is inphase, nQ(t) is quadrature component
- filtered signal x(t)
x(t) = s(t) + n(t)
- Average Noise Power = N0BT
BPF
outputreceiver
O
I
noise the of power average
signal message ddemodulate the of power average)SNR( -
n(t) noise filtered the of power average
s(t) signal modulated the of power average)SNR( -
2B
2B
N0
SNI, SNQ
CNU Dept. of Electronics
D. J. Kim3
Lecture on Communication Theory
< DSB 와 SSB 의 Signal 과 Noise Power Spectral Density 정리 >
- DSB
- SSB
1SM(f)
f
SS(f)
2
1
41
f f
SY(f)
)ff(S)ff(S4
1)f(S )fCtm(t)cos(2s(t) -
2P
)4P
(2t)fm(t)cos(2 P)t(m
CMCMS
C
Θπ
π
2
N0
f
SS(f)
f
2
N0
(t)n2
1 m(t)
2
1
WN22
NW4 WN
2
NW2
I
00
00
4
P
2
P
2
P
4
1 t)f(t)sin(2m̂
2
1 t)fm(t)cos(2
2
1 CC
ππ
)Wtsin()t(n2
1)Wtcos()t(n
2
1)t(m
4
1
WN2
NW2 WN
2
NW2
QI
00
00
ππ
1
f
4
1
f
2
N0
f f
2
N0
CNU Dept. of Electronics
D. J. Kim4
Lecture on Communication Theory
2. 변복조간의 비교1) 서로 다른 변복조 system 을 비교하기 위한 조건
- s(t) by each system has the same average power
- noise w(t) has the same average power measured in the message
BW =W
2) Channel SNR
3)
5.3 Noise in DSB-SC Receivers
1. Model of DSB-SC Receivers
inputreceiveratC BW message the in noise the of power average
signal modulated the of power average)SNR(
C
O
(SNR)
(SNR) = merit of Figure
CNU Dept. of Electronics
D. J. Kim5
Lecture on Communication Theory
2. (SNR)O
NW2
PAC)SNR( -
(baseband)
NW2
N2W power noise Average-
2
PAC s(t) of power Average-
df (f)S P
power signal Average-
bandwidth message : W
(f)S : m(t) ofdensity spectral Power
factor scaling :C re whe
)t(m)tf2cos(CA)t(s -
0
2C
2
DSB,C
00
2C
2
WW- M
M
CC
∫
π
)t(n2
1)t(mCA
2
1 y(t)
)tf4sin()t(nA2
1)tf4cos()t(n)t(mCA
2
1)t(n
2
1)t(mCA
2
1
)tf2cos()t(x)t(v -
)tf2sin()t(n)tf2cos()t(n)t(m)tf2cos(CA
)t(n)t(s)t(x -
IC
CQCCICIC
C
CQCICC
∴
ππ
π
πππ
CNU Dept. of Electronics
D. J. Kim6
Lecture on Communication Theory
5.4 Noise in SSB Receivers - SSB Modulated wave
1)SNR(
)SNR(
merit of Figure
NW2
PAC
2NW
4PAC)SNR( -
NW2n(t) noise filtered pass band of Power(t))Power(n
(passband) NW2
1(2W)N
4
1 power noise Average-
4
PAC power signal Average-
SCDSBC
O
0
2C
2
0
2C
2
O
0I
00
2C
2
∴
∴
0
2C
2
SSB,C
0
2C
22C
22C
2
CCCC
NW4
PAC)SNR(
(baseband) Noise) BW message( NW power noise Average-
DSB) of (half 4
PAC
2
P
4
AC
2
P
4
AC power Message -
density spectral power same the has (t)m̂ and m(t)
additive are densities spectral power their
eduncorrelat are (t)m̂ and m(t)
0E[m(t)] othogonal, are (t)m̂ and m(t)
)t(m̂)tf2sin(CA2
1)t(m)tf2cos(CA
2
1)t(s
안의
⇒
⇒
ππ
CNU Dept. of Electronics
D. J. Kim7
Lecture on Communication Theory
t)
2
Wf(2sin)t(nt)
2
Wf(2cos)t(n)t(n CQCI π-π
CNU Dept. of Electronics
D. J. Kim8
Lecture on Communication Theory
SC-DSB as same 1)SNR(
)SNR( merit of Figure -
NW4
PAC)SNR( -
(passband) NW4
1
2
NW
4
1
2
NW
4
1 power noise Average-
PAC16
1 power signal Average-
Wt)(sin(t)n2
1Wt)(cos(t)n
2
1m(t)CA
4
1 y(t)
output Combined -
SSBC
O
0
2C
2
SSB,O
000
2C
2
QIC
ππ
5.4 Noise in AM Receiver
t)f(t)sin(2n-t)f(t)]cos(2nm(t)kA[A
n(t) s(t) x(t)
signal Filtered -
NW2
P)k(1A (SNR)
)2
N(2W NW power noise Average-
2P)k(1A power signal Average-
t)fm(t)]cos(2k[1 A s(t)
signal AM -
CQCIaCC
0
2a
2C
AMC,
00
2a
2C
CaC
ππ
←
π
CNU Dept. of Electronics
D. J. Kim9
Lecture on Communication Theory
- By envelope detector
ex1) Single-Tone Modulation
1Pk1
Pk
)SNR(
)SNR( merit of Figure -
1 k
power noise Avg power carrier Avg
NW2
PkA (SNR) -
(t)nm(t)kAA y(t)
(t)n(t),n m(t)]k1[ AAssume
(t)n(t)]nm(t)kA[A
x(t)of envelop )t(y
2a
2a
AMC
O
a
0
2a
2C
AMO,
IaCC
QIaC
2
12Q
2IaCC
≤조건
(max)3
1F.O.M 1, if
2Ak1
Ak
)SNR(
)SNR(
wheret)ft)]cos(2f2cos(1[A)t(s2
AP t)fcos(2 A )t(m
2
2
2m
2a2
1
2m
2a2
1
AMC
O
CmC
2m
mm
μ
μ
μ
Akμππμ
→π
ma
CNU Dept. of Electronics
D. J. Kim10
Lecture on Communication Theory
Threshold Effect
Carrier-to-noise < 1
narrow-band noise n(t)
Threshold Effect : loss of message in an envelope detector that
operates at a low CNR.
ninformatio of loss complete
] [0,2 over ddistributeuniformly is (t) where
(t)]m(t)cos[kA(t)]cos[Ar(t)
(t)]m(t)]cos[k[1Ar(t)y(t)
(t))tfr(t)cos(2t)fm(t)]cos(2k[1 A
n(t)s(t)x(t)
phase is (t) envelope, is r(t) re whe
(t)] (t)fr(t)cos[2 n(t)
aCC
aC
CCaC
C
⇒
πψ
ψψ
ψ
ψππ
ψ
ψπ
CNU Dept. of Electronics
D. J. Kim11
Lecture on Communication Theory
5.6 Noise in FM Receivers
w(t) : zero mean white Gaussian noise with psd = No/2s(t) : carrier =fc, BW = BT 즉 (fC BT/2)
- BPF : [fC - BT/2 ~ fC + BT/2]
- Amplitude limiter : remove amplitude variations
by clipping and BPF
- Discriminator slope network or differentiator : varies linearly with frequency envelope detector
- Baseband LPF : message BW 에 맞추어서 .
- FM signal
- Filtered noise n(t)
)]t(tf2cos[A)t(s
dt)t(mk2)t(
]dt)t(mk2tf2cos[A)t(s
CC
t0f
t0fCC
φπ
πφ
ππ
∫
∫
)t(n
)t(ntan)t(
))t(n())t(n(r(t)
where
)]t(tf2r(t)cos[
)tf2sin()t(n)tf2cos()t(n)t(n
I
Q1
2Q
2I
C
CQCI
ψ
ψπ
ππ
CNU Dept. of Electronics
D. J. Kim12
Lecture on Communication Theory
- Discriminator output
)]t()t(sin[A
)t(rdt)t(mk2
)]t()t(sin[A
)t(r(t)(t)
r(t) AAssume
)]t()t(cos[)t(rA
)]t()t(sin[)t(rtan(t)(t) where
)]t(tf2cos[)t(r)]t(tf2cos[A
n(t)s(t) x(t)
C
t0f
C
C
C
1-
CCC
φψπ
φψφθ
φψ
φψφθ
ψπφπ
∴
∫
dt
)t(dn
πA2
1)t(n
)]}t(sin[)t(r{dt
d
πA2
1
)]}t()t(sin[)t(r{dt
d
πA2
1)t(n
where
)t(n)t(mkdt
d
2
1)t(v
Q
Cd
C
Cd
df
ψ
φψ
θ(t)
π
at discriminator output
at Rx output
CNU Dept. of Electronics
D. J. Kim13
Lecture on Communication Theory
- Figure of merit of FM
where P = message power
W = message bandwidth
kf = frequency sensitivity
< 결론 > BT Noise Performance
ex) Single-tone modulation
T
f
ff
22f
FMC
O
B D
ratio deviation : W
Pk
W
fD
deviationfrequency : PkAmkf
D3W
P3k
)SNR(
)SNR(
Δ
Δ
trade off
2WSC-DSB c.f.
4W2 0.5
471.03
2
2
3
3
1 AM
index modulation : W
f e wher
2
3
W
f
2
3
W
ff3k
)SNR(
)SNR(
)tf2cos(f
f)t(m
)tf2sin(f
fdt)t(m2
)tf2sin(f
ftf2cosA)t(s
max
2
22
2212
m2f
FMC
O
mm
mm
t0f
mm
CC
ηβ
ββ
Δβ
βΔΔ
πΔ
πΔ
πk
πΔ
π
때는같을과
CNU Dept. of Electronics
D. J. Kim14
Lecture on Communication Theory
5.7 Pre-emphasis and de-emphasis in FM
P.S.D. of noise at FM Rx output
P.S.D. of typical message signal
=> 모든 band 를 효과적으로 사용 못함
Commercial FM radio 에서 사용
signal
noise
otherwise 0
2f
A
fN
(f)S
output tordiscrimina the at (t)n noise of P.S.D
WfW- , )(
1)(
2
C
2
0
Nd
d
T
pe
de
B
fHfH
CNU Dept. of Electronics
D. J. Kim15
Lecture on Communication Theory
Applications) FM radio, audio-tape-recording
Dolby-A, Dolby-B, DBX : filtering+dynamic range compression
df)f(Hf3
W2I
factor tImprovemen -
A3
WN2dff
A
N
noise output
of power Average
df)f(HfA
N
emphasis-de with
power noise output Average
2de
WW
2
3
2C
30W
W2
2C
0
2de
WW
22C
0
63dB~53 : emphasis-de & emphasis-pre Rx with
50dB~40 : emphasis-de & emphasis-pre Rx without
13
22I 15kHz W2.1kHz,
WtanW3
W
3
2I
fjf
1
1(f)H
f
jf1(f)H )
1
3
ff1f
3
O
de
O
pe
2O
2
FM
FM
dB
f
ff
f
df
W
ex
O
OO
OWW