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Sec. 1–11 Coding 27 10 –1 P e = Probability of bit error 10 –2 Shannon’s ideal system with coding (1–14) Turbo code [Sklar, 1997] 10 –3 Coding gain = 1.33 dB BPSK with (23, 12) Golay coding 10 –4 10 –5 Coding gain = 8.8 dB Ideal coding gain = 11.2 dB Coding gain = 2.15 dB Polar baseband or BPSK without coding (7–38) 10 –6 –2 –1 –1.59 Figure 1–8 0 1 2 3 4 5 E b /N 0 (dB) Performance of digital systems—with and without coding. 6 7 8 9 10 there is some noise in the channel. We will now find the E b /N 0 required so that P e : 0 with the optimum (unknown) code. Assume that the optimum encoded signal is not restricted in bandwidth. Then, from Eq. (1–10), C = lim bB log 2 a1 + S B:q N br = E b T b lim b B log 2 a1 + N 0 B b r B: q lim b log 2 31 + (E b N 0 T b )x4 r x = x:0 where T b is the time that it takes to send one bit and N is the noise power that occurs within the bandwidth of the signal. The power spectral density (PSD) is n (f) = N 0 /2, and, as shown in Chapter 2, the noise power is B B N = n (f)df = a N 0 3 3 2 b df = N 0B -B -B (1–12)
- Page 50: C h a p t e r INTRODUCTION CHAPTER
- Page 54: Sec. 1-1 Historical Perspective 3 s
- Page 58: Sec. 1-2 Digital and Analog Sources
- Page 62: Sec. 1-4 Organization of the Book 7
- Page 66: Sec. 1-6 Block Diagram of a Communi
- Page 70: Sec. 1-7 Frequency Allocations 11 T
- Page 74: Sec. 1-8 Propagation of Electromagn
- Page 78: Sec. 1-8 Propagation of Electromagn
- Page 82: Sec. 1-9 Information Measure 17 In
- Page 86: Sec. 1-10 Channel Capacity and Idea
- Page 90: Sec. 1-11 Coding 21 Transmitter Noi
- Page 94: Sec. 1-11 Coding 23 Convolutional C
- Page 98: Sec. 1-11 Coding 25 0 1 0 (00) Path
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- Page 108: 30 Introduction Chap. 1 When a conv
- Page 112: 32 Introduction Chap. 1 1-5 A cellu
- Page 116: C h a p t e r SIGNALS AND SPECTRA C
- Page 120: 36 Signals and Spectra Chap. 2 w(t)
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Sec. 1–11 Coding 27<br />
10 –1<br />
P e = Probability of bit error<br />
10 –2<br />
Shannon’s ideal system<br />
with coding (1–14)<br />
Turbo code<br />
[Sklar, 1997]<br />
10 –3<br />
Coding gain = 1.33 dB<br />
BPSK with<br />
(23, 12) Golay coding<br />
10 –4<br />
10 –5<br />
Coding gain = 8.8 dB<br />
Ideal coding gain = 11.2 dB<br />
Coding gain = 2.15 dB<br />
Polar baseband or<br />
BPSK without<br />
coding (7–38)<br />
10 –6<br />
–2<br />
–1<br />
–1.59<br />
Figure 1–8<br />
0 1 2<br />
3<br />
4 5<br />
E b /N 0 (dB)<br />
Performance of digital systems—with and without coding.<br />
6<br />
7<br />
8<br />
9<br />
10<br />
there is some noise in the channel. We will now find the E b /N 0 required so that P e : 0 with<br />
the optimum (unknown) code. Assume that the optimum encoded signal is not restricted in<br />
bandwidth. Then, from Eq. (1–10),<br />
C = lim bB log 2 a1 + S<br />
B:q<br />
N br = E b T b<br />
lim b B log 2 a1 +<br />
N 0 B b r<br />
B: q<br />
lim b log 2 31 + (E b N 0 T b )x4<br />
r<br />
x<br />
=<br />
x:0<br />
where T b is the time that it takes to send one bit and N is the noise power that occurs within<br />
the bandwidth of the signal. The power spectral density (PSD) is n (f) = N 0 /2, and, as<br />
shown in Chapter 2, the noise power is<br />
B<br />
B<br />
N = n (f)df = a N 0<br />
3 3 2 b df = N 0B<br />
-B<br />
-B<br />
(1–12)