Question 5 of 5: Angle-Modulated Signal — Message Recovery, Deviation and Bandwidth
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
Paper format. Professional Engineers Ontario / Engineers Canada national examination
16-Elec-A3 — Signals and Communications, May 2017. Closed book (one non-programmable
calculator permitted), 3 hours, 4 pages. Five questions, all compulsory, all of equal value
(20 marks each). All five are solved in full below.
Reference texts. B. P. Lathi & Z. Ding, Modern Digital and Analog Communication
Systems, 5th ed. (AM/DSB power and efficiency, PCM, FM/Carson); B. P. Lathi, Linear Systems and
Signals, 2nd ed. (Fourier series, filtering, average power); A. V. Oppenheim & A. S. Willsky,
Signals and Systems, 2nd ed. (LTI convolution, BIBO stability); J. G. Proakis & D. G. Manolakis,
Digital Signal Processing, 4th ed. (FIR structures, transfer functions); C. K. Alexander &
M. N. O. Sadiku, Fundamentals of Electric Circuits, 7th ed. (first-order RC response).
Question 5: Angle-Modulated Signal — Message Recovery, Deviation and Bandwidth (20 marks)
Find. The message m(t) that produced this phase; the average power of s(t); the peak
frequency deviation; the transmission bandwidth; and a demodulator block diagram.
Approach. In FM the phase is the integral of the message, so differentiating $\phi(t)$
recovers m(t). The power of a constant-envelope signal is independent of the modulation. The peak deviation
must be maximised properly — because $f_2=2f_1$ the two sinusoidal terms are harmonically related and
their peaks do not coincide.
(a) Recover the message. For frequency modulation
$\phi(t)=2\pi k_f\!\int^t m(\lambda)\,d\lambda$, so
$$m(t)=\frac{1}{2\pi k_f}\frac{d\phi}{dt}
=\frac{1}{2\pi k_f}\left[-2\pi a f_1\sin(2\pi f_1 t)-2\pi b f_2\sin(2\pi f_2 t)\right]$$
$$m(t)=-\frac{a f_1}{k_f}\sin(2\pi f_1 t)-\frac{b f_2}{k_f}\sin(2\pi f_2 t)
=-\frac{(1)(2000)}{5000}\sin(2\pi f_1t)-\frac{(2)(4000)}{5000}\sin(2\pi f_2t)$$
$$\boxed{m(t)=-0.4\sin\!\left(2\pi(2000)t\right)-1.6\sin\!\left(2\pi(4000)t\right)\ \text{V}}$$
The message is itself a two-tone signal, dominated by the 4 kHz component because that term contributes both
a larger phase amplitude and a higher frequency.
Figure Q5.1 - Recovered message m(t) over two cycles of the 2 kHz tone.
(b) Average power. An angle-modulated signal has a constant envelope, so the
modulation moves power around in frequency but never changes the total:
$$P=\frac{A_c^{2}}{2}=\frac{5^{2}}{2}=\boxed{12.5\ \text{W}}$$
This is one of the defining advantages of FM — transmitters can run at constant, and therefore
efficient, output power.
(c) Peak frequency deviation. The instantaneous frequency deviation is
$$\Delta f(t)=\frac{1}{2\pi}\frac{d\phi}{dt}=-\left[a f_1\sin(2\pi f_1t)+b f_2\sin(2\pi f_2t)\right]
=-\left[2000\sin\theta+8000\sin 2\theta\right]$$
with $\theta=2\pi f_1 t$. It is tempting to add the two peaks and quote 10 000 Hz, but the sine terms peak
at different instants. Substituting $\sin2\theta=2\sin\theta\cos\theta$ collapses the expression to a single
variable $c=\cos\theta$:
$$g(\theta)=\sin\theta\left(2000+16000\cos\theta\right),\qquad
\frac{dg}{d\theta}=0\ \Longrightarrow\ 16c^{2}+c-8=0$$
$$c=\frac{-1+\sqrt{1+512}}{32}=0.67655\quad(\text{the other root, } c=-0.73905,\ \text{gives only } 6618\ \text{Hz})$$
With $\sin\theta=\sqrt{1-c^{2}}=0.73640$,
$$\Delta f = 0.73640\left(2000+16000\times0.67655\right)=0.73640\times12\,824.8$$
$$\boxed{\Delta f = 9444\ \text{Hz} \approx 9.44\ \text{kHz}}$$
which is 5.6 % below the naive sum of the peaks. A numerical sweep of $|g(\theta)|$ over a full cycle
confirms the maximum to five figures.
(d) Transmission bandwidth. Carson's rule uses the peak deviation and the
highest message frequency, here $W=f_2=4$ kHz:
$$B_T = 2\left(\Delta f + W\right)=2\left(9444+4000\right)$$
$$\boxed{B_T = 26.89\ \text{kHz}}$$
The effective deviation ratio is $\beta=\Delta f/W = 9444/4000 = 2.36$, comfortably in the wideband regime,
so Carson's rule (rather than the narrowband approximation $B_T\approx 2W$) is the right tool. Using the
naive 10 kHz deviation would have over-stated the bandwidth by about 1.1 kHz.
(e) Demodulator. A conventional frequency discriminator recovers the message in four
stages: a band-pass filter centred on $f_c$ with bandwidth $B_T$ rejects out-of-band noise; a hard limiter
strips any amplitude variation picked up in the channel (essential, since all the information is in the
zero crossings); a differentiator converts frequency variation into amplitude variation, producing
$A_c[\omega_c+2\pi k_f m(t)]\sin(\cdot)$; and an envelope detector followed by a dc block and a low-pass
filter of bandwidth $W$ delivers $m(t)$ scaled by $A_ck_f$. A phase-locked loop is the modern alternative:
its loop filter output is directly proportional to $m(t)$ and it performs better at low signal-to-noise
ratio.