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B. P. Lathi, Zhi Ding - Modern Digital and Analog Communication Systems-Oxford University Press (2009)

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214 ANGLE MODULATION AND DEMODULATION

If we assume that

mp = [m(t)Jmax = lm(t)nunl

(5. 17b)

then

(5.17c)

Therefore,*

BrM = 2(1).f + B)

= 2 ( k ;:P +B)

(5. 18a)

(5.18b)

One very interesting aspect of FM is that !).w = k f

mp depends only on the peak value of m(t).

It is independent of the spectrum of m(t). On the other hand, in PM, /).w = kpmp depends on the

peak value of m(t). But m(t) depends strongly on the spectral composition of m(t). The presence

of higher frequency components in m(t) implies rapid time variations, resulting in a higher

value of nz p

. Conversely, predominance of lower frequency components will result in a lower

value of ni p

. Hence, whereas the FM signal bandwidth [Eq. (5. 13)] is practically independent

of the spectral shape of m(t), the PM signal bandwidth [Eq. (5. 18)] is strongly affected by the

spectral shape of m(t). For m(t) with a spectrum concentrated at lower frequencies, BpM will

be smaller than when the spectrum of m(t) is concentrated at higher frequencies.

Spectral Analysis of Tone Frequency Modulation

For an FM carrier with a generic message signal m(t), the spectral analysis requires the use of

staircase signal approximation. Tone modulation is a special case for which a precise spectral

analysis is possible: that is, when m(t) is a sinusoid. We use this special case to verify the FM

bandwidth approximation. Let

m(t) = a cos Wmt

From Eq. (5.7), with the assumption that initially a(-oo) = 0, we have

Thus, from Eq. (5.8a), we have

a

a(t) = - sm Wmt

Wm

Moreover

* Equation (5.17a) can be applied only if m(t) is a continuous function of time. If m(t) has jump discontinuities, its

derivative does not exist. In such a case, we should use the direct approach (discussed in Example 5.2) to find

<i' PM (t) and then determine t!.w from <p PM (t).

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