Question 4 of 10: Reading an FM Spectrum with Bessel Coefficients
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
Paper format. National Exams, May 2014 — 07-Elec-A3 Signals and Communications. Three hours, open book, any non-communicating calculator permitted. Ten questions of equal value (20 marks each); the rubric states that five questions constitute a complete paper and only the first five presented are marked. All ten are solved here, since the set is intended as a study resource. A table of Fourier-transform pairs and properties, a table of z-transform pairs, trigonometric identities and Bessel-function graphs/tables are supplied with the paper and are used freely below.
Reference texts. B. P. Lathi and Z. Ding, Modern Digital and Analog Communication Systems, 4th ed. (sampling, PCM, AM/FM, matched filtering); B. P. Lathi, Linear Systems and Signals, 2nd ed. (Fourier analysis, LTI properties); A. V. Oppenheim and A. S. Willsky, Signals and Systems, 2nd ed. (z-transform, regions of convergence); S. Haykin, Communication Systems, 5th ed. (digital transmission, eye diagrams).
Convention used throughout. This paper's own transform table defines the sinc function as $\operatorname{sinc}(x)=\sin x / x$ (Lathi's convention, not the normalised $\sin(\pi x)/(\pi x)$). Every bandwidth below follows from that table, in particular $2B\operatorname{sinc}(2\pi Bt)\leftrightarrow\operatorname{rect}(f/2B)$ and $B\operatorname{sinc}^2(\pi Bt)\leftrightarrow\Delta(f/2B)$.
Question 4: Reading an FM Spectrum with Bessel Coefficients (20 marks)
Given. Carrier amplitude $A_c = 100$ V. From Figure 4, spectral lines at 497, 498, 499, 500, 501, 502 and 503 kHz with magnitudes 1, 5.5, 22, 38.5, 22, 5.5 and 1 respectively (shown for $f \ge 0$ only).
Line data read from Figure 4
Frequency [kHz]
497
498
499
500
501
502
503
Magnitude
1
5.5
22
38.5
22
5.5
1
Find. $\Delta f_{\text{peak}}$, $f_m$ and $f_c$; then $K_f$ given $A_m = 2.0$ V; then the spectrum after doubling both $A_m$ and $f_m$.
[Figure not reproduced: Figure 4 (redrawn): line spacing gives fm = 1 kHz and the centre line gives fc = 500 kHz. Matching the heights against (Ac/2)|Jn(β)| fixes β = 1. See the official exam paper.]
Approach. The line spacing gives $f_m$ and the centre line gives $f_c$ by inspection; the relative line heights identify $\beta$ through the Bessel table, and $\Delta f = \beta f_m$ then follows.
Read $f_m$ and $f_c$ off the figure. The lines are equally spaced by 1 kHz, and in the single-tone FM expansion the components sit at $f_c + nf_m$, so the spacing is the modulating frequency: $f_m = 1$ kHz. The spectrum is symmetric about the tallest line at 500 kHz, which is the $n = 0$ (carrier) term, so $f_c = 500$ kHz.
Normalise the line heights to find $\beta$. The one-sided spectrum shows each cosine as a single line of height $A_c|J_n(\beta)|/2$, since a cosine of amplitude $A_cJ_n$ splits half its weight to each of $\pm f$. Dividing the measured heights by $A_c/2 = 50$: $$|J_0|=\frac{38.5}{50}=0.77,\quad |J_1|=\frac{22}{50}=0.44,\quad |J_2|=\frac{5.5}{50}=0.11,\quad |J_3|=\frac{1}{50}=0.02$$
Match against the supplied Bessel table. Scanning the table row by row, the entries $J_0 = 0.77$, $J_1 = 0.44$, $J_2 = 0.11$, $J_3 = 0.02$ are precisely the $\beta = 1.0$ row — all four orders agree simultaneously, so the identification is unambiguous: $$\boxed{\beta = 1.0}$$
Deduce the peak deviation. By the definition given in the question, $\beta = \Delta f/f_m$, so $$\Delta f_{\text{peak}} = \beta f_m = 1.0\times 1\ \text{kHz} = \boxed{1\ \text{kHz}}$$ Collecting part (a): $\Delta f_{\text{peak}} = 1$ kHz, $f_m = 1$ kHz, $f_c = 500$ kHz.
Part (b): modulation sensitivity. For single-tone FM the instantaneous frequency swings by $K_f$ hertz per volt of message, so the peak deviation is $\Delta f_{\text{peak}} = K_f A_m$. Solving for $K_f$ with $A_m = 2.0$ V: $$K_f = \frac{\Delta f_{\text{peak}}}{A_m} = \frac{1000\ \text{Hz}}{2.0\ \text{V}} = \boxed{500\ \text{Hz/V}}$$
Part (c) is the interesting one, because the two changes pull in opposite directions and it is the ratio that governs the shape of the spectrum.
Recompute the deviation and the index. Doubling the message amplitude to $A_m = 4.0$ V doubles the deviation, $\Delta f = K_fA_m = 500\times 4.0 = 2$ kHz, while doubling the modulating frequency gives $f_m = 2$ kHz. Therefore $$\beta = \frac{\Delta f}{f_m} = \frac{2\ \text{kHz}}{2\ \text{kHz}} = \boxed{1.0\ \text{(unchanged)}}$$
Sketch the consequence. Because $\beta$ is unchanged, every Bessel coefficient is unchanged, so the line heights are exactly as before: 38.3, 22.0, 5.7 and 1.0 (the small differences from the figure's 38.5/22/5.5/1 are just its reading precision). What changes is the spacing, which doubles to 2 kHz, so the lines now sit at 500, $500\pm 2$, $500\pm 4$ and $500\pm 6$ kHz.
Quantify the bandwidth growth. Carson's rule gives $B_T = 2(\Delta f + f_m)$, so the bandwidth grows from $2(1+1) = 4$ kHz to $$B_T = 2(2\ \text{kHz} + 2\ \text{kHz}) = \boxed{8\ \text{kHz}}$$ The signal occupies twice the spectrum while carrying the same number of significant sidebands — the classic demonstration that in FM it is the index, not the deviation alone, that sets the shape of the spectrum.
Part (c): doubling Am doubles Δf to 2 kHz while doubling fm to 2 kHz, so β = Δf/fm stays at 1. The line heights are unchanged; only the spacing doubles, and Carson bandwidth grows from 4 kHz to 8 kHz.