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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)

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)

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