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546<br />

Performance of Communication Systems Corrupted by Noise Chap. 7<br />

[n ' 0(t)] 2 = 2a K 2<br />

b N 0 f 2 1 B<br />

A c<br />

(7–137)<br />

for B>f 1 1.<br />

The output signal power for the preemphasis–deemphasis system is the same as that<br />

when preemphasis–deemphasis is not used because the overall frequency response of the system<br />

to m(t) is flat (constant) over the bandwidth of B Hz. † Thus, from Eqs. (7–137) and<br />

(7–124a), the output SNR is<br />

a S N b = s 0 2<br />

'<br />

out<br />

2<br />

n<br />

In addition, D j /(2pB) = b f /V p , so the output SNR reduces to<br />

0<br />

= A c 2 [D f >(2pf 1 )] 2 m 2<br />

2N 0 B<br />

a S N b out<br />

= A c 2 b f 2 (B>f 1 ) 2 (m>V p ) 2<br />

2N 0 B<br />

(7–138)<br />

Using Eq. (7–128), we find that the output to input SNR is<br />

(S>N) out<br />

(S>N) in<br />

= 2b 2 f (b f + 1)a B 2<br />

b a m 2<br />

b<br />

f 1 V p<br />

(7–139)<br />

where b f is the FM index, B is the bandwidth of the baseband (modulation) circuits, f 1 is the<br />

3-dB bandwidth of the deemphasis filter, V p is the peak value of the modulating signal m(t),<br />

and (m>V p ) 2 is the square of the RMS value of m(t)/V p .<br />

The output SNR is expressed in terms of the equivalent baseband SNR by substituting<br />

Eq. (7–84) into Eq. (7–138):<br />

(S>N) out<br />

(S>N) baseband<br />

= b 2 f a B 2<br />

b a m 2<br />

b<br />

f 1 V p<br />

(7–140)<br />

When a sinusoidal test tone is transmitted over this FM system, (m>V p ) 2 = 1 2<br />

and Eq. (7–140)<br />

becomes<br />

(S>N) out<br />

(S>N) baseband<br />

= 1 2 b f 2 a B 2<br />

b (sinusoidal modulation)<br />

f 1<br />

(7–141)<br />

Of course, each of these results is valid only when the FM signal at the receiver input is<br />

above the threshold.<br />

† For a fair comparison of FM systems with and without preemphasis, the peak deviation ∆F needs to be the<br />

same for both cases. With typical audio program signals, preemphasis does not increase ∆F appreciably, because the<br />

low frequencies dominate in the spectrum of m(t). Thus, this analysis is valid. However, if m(t) is assumed to have a<br />

flat spectrum over the audio passband, the gain of the preemphasis filter needs to be reduced so that the peak deviation<br />

will be the same with and without preemphasis. In the latter case, there is less improvement in performance when<br />

preemphasis is used.

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