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Communication Systems II[KECE322_01]
<2012-2nd Semester>
Lecture #222012. 11. 21
School of Electrical EngineeringKorea University
Prof. Young-Chai Ko
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Outline
Approximate symbol error rate of PSK (phase-shift keying) modulation
Binary differential PSK (BDPSK)
Quadrature Amplitude Modulation (QAM)
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Transformation of
Joint PDF of
Marginal PDF of
y1 and y2
V =q
y21 + y22 ,
⇥ = tan�1 y2y1
.
V and ⇥
fV,⇥(v, ✓) =v
2⇡�2
y
e�(v2+Es�2
pEsv cos ✓)/2�2
y .
⇥
f⇥
(✓) =
Z 1
0
fV,⇥(v, ✓) dv =1
2⇡e�⇢s sin
2 ✓
Z 1
0
ve�(v�p2⇢s cos ✓)2/2 dv
⇢s =EsN0
where is the SNR per symbol.
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
PDF of p⇥(✓)
[Fig. 10. 15, Proakis textbook]
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Symbol error rate
PM = 1�Z ⇡/M
�⇡/Mf⇥(✓) d✓.
⇡
M
� ⇡
M
decision region for s1
PM = 1�Z ⇡/M
�⇡/Mf⇥
(✓) d✓ = 1�Z ⇡/M
�⇡/M
e�⇢s sin
2 ✓
2⇡
Z 1
0
ve�(v�p2⇢s cos ✓)2/2 dv d✓
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
BER of BPSK
SER of QPSK
P2 = Q
r2EbN0
!
Pc = (1� P2)2 =
"1�Q
r2EbN0
!#2,
P4 = 1� Pc
⇡ 2Q
r2EbN0
!.P4 = 2Q
r2EbN0
!"1� 1
2Q
r2EbN0
!#
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Approximation of SER for large Es/N0
f⇥
(✓) =1
2⇡e�⇢s sin
2 ✓
Z 1
0
ve�(v�p2⇢s cos ✓)2/2 dv
⇡r
⇢s⇡
cos ✓e�⇢s sin2 ✓
1p2⇡
Z 1
�1e�
(v�m)2
2 dv = 11p2⇡
Z 1
�1ve�
(v�m)2
2 dv = m
Note
For high SNR per symbol, p2⇢s cos ✓ >> 1
−5 0 5 10 15 200
0.1
0.2
0.3
0.4
Z 1
�1ve�(v�m)2/2 dv ⇡
Z 1
0ve�(v�m)2/2 dv =
p2⇡m
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
PM ⇡ 1�Z ⇡/M
�⇡/M
r⇢s⇡
cos ✓e�⇢s sin2 ✓ d✓
⇡ 2p2⇡
Z 1
p2⇢s sin⇡/M
e�u2/2 du
= 2Q⇣p
2⇢s sin⇡
M
⌘
= 2Q
r2k sin2
⇣ ⇡
M
⌘ EbN0
!
⇡ 2Q
0
@s
2⇡2log2 M
M2
EbN0
1
A
k = log2 M
⇢s = k⇢b
sin⇡
M⇡ ⇡
M for large M
u = 2p⇢s sin
2 ✓
change in variable:
where
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Approximation of SER for M-PSK
[Fig. 10. 6, Proakis textbook]
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Differential coherent modulations are used when tracking the phase is difficult or costly.
These techniques allow the extraction/recovery of the information bits without knowledge of phase.
Let us treat only binary differential phase-shift-keying (BDPSK).
Binary Differential Phase-Shift-Keying (BDPSK)
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Block diagram
XBPSK
modulator
+
Delay by T Band-limitedchannel
X
Delay by T
Z T
0(·) dtDecision
↵k = ±1 ak = ±1
n(t)
y(t)
y(t� T )
s(k)
z(t)
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Received signal for
After delay by
Key assumption
✦ Assume that is unknown to the receiver but slowly varying such as it is roughly constant over 2 successive bits.
t 2 [kT, (k + 1)T ]
y(t) = ak
r2Eb
Tcos(2⇡fct+ ✓) + n(t)
y(t� T ) = ak�1
r2Eb
Tcos(2⇡fc(t� T ) + ✓) + n(t)
= ak�1
r2Eb
Tcos(2⇡fct+ ✓) + n(t)
fcT = integerAssume
✓(t)
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
z(t) = y(t)y(t� T )
= akak�12EbT
cos(2⇡fct+ ✓) cos(2⇡fct+ ✓) + ak
r2EbT
cos(2⇡fct+ ✓)n(t)
+ak�1
r2EbT
cos(2⇡fct+ ✓)n(t) + n2(t)
1 + cos(4⇡fct+ 2✓)
2
After integration
z = akak�12EbT
Z (k+1)T
kT
1 + cos(4⇡fct+ 2✓)
2
dt+ noise
= akak�12EbT
T
2
+ noise
= akak�1Eb + noise
noise =
⇢2n1 + n2
n2
n1 =
r2EbN0
Z T
0cos(2⇡fct+ ✓)n(t) dt
n2 =
Z T
0n2(t) dt
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Differential encoding and decoding
If the symbol are obtained from the information symbols .
From the differential encoder we have:
ak 2 {�1, 1}
ak = ak�1 · ↵k
1 1 1
1 -1 -1
-1 1 -1
-1 -1 1
ak ak�1 ↵k
z = akak�1Eb + noise
= (ak�1)2↵kEb + noise
= ↵kEb + noise
↵k 2 {�1, 1}
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Performance of BDPSK
Pb =1
2e�Eb/N0
0 5 10 1510−6
10−5
10−4
10−3
10−2
10−1
100
BDPSKBPSK
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Transmit signal waveforms
Quadrature Amplitude Modulation (QAM)
um(t) = AmcgT (t) cos 2⇡fct+AmsgT (t) sin 2⇡fct, m = 1, 2, . . . ,M
=
pA2
mc +A2msgT (t) cos(2⇡fct+ ✓m)
where
= sm1�1(t) + sm2�2(t)
= <{p
A2mc +A2
msgT (t)ej(2⇡fct+✓m)}
= <{slm(t)e2j⇡fct} slm(t) =pA2
mc +A2msgT (t)e
j✓m
✓m = tan�1 Ams
Amc
�1(t) =
r1
EsgT (t) cos(2⇡fct)
�2(t) =
r1
EsgT (t) sin(2⇡fct)sm =
⇣pEsAmc,
pEsAms
⌘
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Example
M = 8
M = 16
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Spectral efficiency
Number of bits per symbol
✦ Symbol rate
um(t) =p
A2mc +A2
msgT (t) cos(2⇡fct+ ✓m) = AmgT cos(2⇡fct+ ✓n),
m = 1, 2, . . . ,M1
n = 1, 2, ...,M2
M1 = 2k1 and M2 = 2k2Let
k1 + k2 = log2 M1 + log2 M2 bits/symbol
Rs =Rb
k1 + k2
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Rectangular QAM
Signal amplitudes take the set of values
Signal space diagram
M = 4
M = 8
M = 16
M = 32
M = 64
Rectangular QAM
{(2m� 1�M)d, m = 1, 2, . . . ,M}
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
Average energy per symbol
Distance between two symbols
Eav =1
M
MX
i=1
||si||2.
dmn =p||sm � sn||2.
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
For rectangular signal constellations in which where is even, the QAM signal constellation is equivalent to two PAM signals on quadrature carriers, each having signal points.
Since the signals in the phase-quadrature components can be perfectly separated at the demodulator, the probability of error for QAM is easily determined from the probability of error for PAM.
Specifically, the probability of a correct decision for the M-ary QAM system is
✦ where is the probability of error of an -ary PAM with one-half the average power in each quadrature signal of the equivalent QAM system.
By appropriately modifying the probability of error for M-ary QAM, we obtain
Probability of Error for QAMM = 2k k p
M = 2k/2
Pc = (1� PpM )2
PpM
pM
PpM = 2
✓1� 1p
M
◆Q
r3
M � 1
Eav
N0
!
where is the SNR per symbol.Eav/N0
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
−5 0 5 10 15 2010−6
10−5
10−4
10−3
10−2
10−1
100
SNR per bit (dB)
Prob
abilit
y of
a b
it er
ror,
P M
Therefore, the probability of a symbol error for the M-ary QAM is
Note that this result is exact for when is even.
PM = 1� (1� PpM )2
M = 2k k
QAMM=64
QAMM=16QAM
M=4
12년 11월 21일 수요일
Prof. Young-Chai Ko Communication System II Korea University
12년 11월 21일 수요일