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Concept 05 / 05Communication Systems

Amplitude Modulation: Modulation Index, Sidebands, Bandwidth, Power, Production and Detection

Deriving the AM waveform from first principles: modulation index from the envelope, the two sidebands and the bandwidth 2fm, the power split, how AM is generated and detected, and why AM is noisier than FM.

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In amplitude modulation the amplitude of a high frequency carrier is made to follow the instantaneous value of the message, while the frequency and phase of the carrier are left strictly alone. The diagrams above show the three waveforms and the resulting spectrum, and everything asked in JEE Main on this topic follows from the few lines of algebra below. Setting up the waveform. Let the message be a single tone m(t)=Amsin⁡ωmtm(t) = A_m\sin\omega_m t and the carrier c(t)=Acsin⁡ωctc(t) = A_c\sin\omega_c t, with ωc≫ωm\omega_c \gg \omega_m. Amplitude modulation replaces the constant carrier amplitude AcA_c by the time varying amplitude Ac+Amsin⁡ωmtA_c + A_m\sin\omega_m t. Therefore cm(t)=(Ac+Amsin⁡ωmt)sin⁡ωctc_m(t) = (A_c + A_m\sin\omega_m t)\sin\omega_c t. Taking AcA_c outside the bracket, cm(t)=Ac(1+μsin⁡ωmt)sin⁡ωctc_m(t) = A_c\left(1 + \mu\sin\omega_m t\right)\sin\omega_c t, where μ=AmAc\mu = \frac{A_m}{A_c}. The dimensionless number μ\mu is the modulation index, also written as mam_a and quoted as a percentage. It measures how deeply the carrier amplitude is swung by the message. The quantity in brackets, Ac(1+μsin⁡ωmt)A_c(1+\mu\sin\omega_m t), is the envelope: it is a faithful copy of the message sitting on a pedestal AcA_c, and recovering the message is nothing more than tracing that envelope. Modulation index from the picture. The envelope oscillates between Amax=Ac+AmA_{max} = A_c + A_m and Amin=Ac−AmA_{min} = A_c - A_m. Adding and subtracting, Amax+Amin=2AcA_{max} + A_{min} = 2A_c and Amax−Amin=2AmA_{max} - A_{min} = 2A_m, so μ=AmAc=Amax−AminAmax+Amin\mu = \frac{A_m}{A_c} = \frac{A_{max} - A_{min}}{A_{max} + A_{min}}. This is the form to use whenever a waveform or an oscilloscope trace is given, since AmaxA_{max} and AminA_{min} are the only things you can read off directly. Overmodulation, and why μ\mu must not exceed one. If μ>1\mu > 1 then Am>AcA_m > A_c and the envelope Ac(1+μsin⁡ωmt)A_c(1+\mu\sin\omega_m t) tries to go negative. An amplitude cannot be negative; what physically happens is that the envelope collapses to zero, the carrier undergoes a sudden phase reversal of 180∘180^\circ, and the observed envelope is the modulus of the intended one. The negative peaks of the message are chopped off, extra harmonics appear and the recovered audio is badly distorted, spilling out of its allotted channel and interfering with neighbours. This is why broadcasters keep μ\mu below one, typically around 0.80.8. Note carefully that the distortion is a fault of envelope detection: the information in the sidebands is still intact, and a more elaborate coherent detector would recover it perfectly. Where do the sidebands come from? Expand the product in the modulated wave. cm(t)=Acsin⁡ωct+μAcsin⁡ωmt sin⁡ωctc_m(t) = A_c\sin\omega_c t + \mu A_c \sin\omega_m t\,\sin\omega_c t. Use the identity sin⁡Xsin⁡Y=12[cos⁡(X−Y)−cos⁡(X+Y)]\sin X\sin Y = \frac{1}{2}\left[\cos(X-Y) - \cos(X+Y)\right] on the second term: cm(t)=Acsin⁡ωct+μAc2cos⁡(ωc−ωm)t−μAc2cos⁡(ωc+ωm)tc_m(t) = A_c\sin\omega_c t + \frac{\mu A_c}{2}\cos(\omega_c - \omega_m)t - \frac{\mu A_c}{2}\cos(\omega_c + \omega_m)t. This is the central result of the whole chapter. Although the picture in the time domain suggests one wave of wobbling amplitude, the AM wave is mathematically the sum of three pure sinusoids of constant amplitude: • the carrier at fcf_c, of amplitude AcA_c; • the lower side band at fc−fmf_c - f_m, of amplitude μAc2\frac{\mu A_c}{2}; • the upper side band at fc+fmf_c + f_m, of amplitude μAc2\frac{\mu A_c}{2}. The spectrum diagram above shows these three lines. A modulator is therefore best thought of as a frequency shifter: it takes the message at fmf_m and moves it up so that it straddles the carrier. Bandwidth. The highest frequency present is fc+fmf_c + f_m and the lowest is fc−fmf_c - f_m, so BW=(fc+fm)−(fc−fm)=2fmBW = (f_c+f_m) - (f_c-f_m) = 2f_m. If the message occupies a band of frequencies up to fm,maxf_{m,max}, every component produces its own pair of sidebands and the AM wave occupies 2fm,max2f_{m,max}. This single fact governs the whole radio dial. Indian AM broadcast channels are spaced 1010 kHz apart, so the audio fed to an AM transmitter must be filtered to about 55 kHz, which is precisely why AM radio sounds dull compared with FM: the top two octaves of the music have been thrown away before transmission. Power in an AM wave. Let the wave be delivered to a resistance RR (the radiation resistance of the antenna). The average power of a sinusoid of amplitude AA is A22R\frac{A^2}{2R}. Hence Pcarrier=Ac22RP_{carrier} = \frac{A_c^2}{2R}, and each side band carries 12R(μAc2)2=μ2Ac28R=μ24Pcarrier\frac{1}{2R}\left(\frac{\mu A_c}{2}\right)^2 = \frac{\mu^2A_c^2}{8R} = \frac{\mu^2}{4}P_{carrier}. Because the three components are at different frequencies, their average powers simply add with no cross terms, so the total transmitted power is Pt=Pc(1+μ24+μ24)=Pc(1+μ22)P_t = P_c\left(1 + \frac{\mu^2}{4} + \frac{\mu^2}{4}\right) = P_c\left(1 + \frac{\mu^2}{2}\right). Since power is proportional to the square of the antenna current, the same statement in terms of current is It=Ic1+μ22I_t = I_c\sqrt{1+\frac{\mu^2}{2}}. The fraction of the transmitted power that carries information is η=side band powertotal power=μ2/21+μ2/2=μ22+μ2\eta = \frac{\text{side band power}}{\text{total power}} = \frac{\mu^2/2}{1+\mu^2/2} = \frac{\mu^2}{2+\mu^2}. Even at the maximum permissible μ=1\mu = 1 this is only 13\frac{1}{3}. At least two thirds of the power of every AM station is spent radiating a bare carrier that conveys nothing at all, and at a realistic μ=0.5\mu = 0.5 the figure is 11%11\%. That is the price paid for a receiver that needs only a diode. Point to point services, which can afford clever receivers, suppress the carrier (double side band suppressed carrier) or even one of the side bands (single side band), saving power and halving the bandwidth. Several message frequencies at once. If tones with indices μ1,μ2,μ3,…\mu_1, \mu_2, \mu_3, \dots modulate the same carrier, their side band powers add, and since each is proportional to the square of its index, the effective index is μt=μ12+μ22+μ32+…\mu_t = \sqrt{\mu_1^2+\mu_2^2+\mu_3^2+\dots}. Notice that indices add in quadrature, never directly. How an AM wave is produced. The message and the carrier are added and the sum is passed through a device with a square law characteristic, such as a diode or a transistor biased on the curved part of its characteristic. Write the input as x(t)=m(t)+c(t)x(t) = m(t) + c(t) and the output as y=Bx+Cx2y = Bx + Cx^2. Then y=B(Amsin⁡ωmt+Acsin⁡ωct)+C(Amsin⁡ωmt+Acsin⁡ωct)2y = B(A_m\sin\omega_m t + A_c\sin\omega_c t) + C(A_m\sin\omega_m t + A_c\sin\omega_c t)^2. Squaring produces a dc term, terms at 2ωm2\omega_m and 2ωc2\omega_c from the squares, and the all important cross term 2CAmAcsin⁡ωmtsin⁡ωct2CA_mA_c\sin\omega_m t\sin\omega_c t, which is a pair of side bands at ωc±ωm\omega_c \pm \omega_m. So the output contains components at ωm\omega_m, 2ωm2\omega_m, ωc\omega_c, 2ωc2\omega_c and ωc±ωm\omega_c \pm \omega_m, plus dc. A band pass filter centred at ωc\omega_c, of bandwidth 2ωm2\omega_m, rejects everything except ωc\omega_c and ωc±ωm\omega_c\pm\omega_m. What survives is BAcsin⁡ωct+2CAmAcsin⁡ωmtsin⁡ωct=BAcsin⁡ωct(1+2CAmBsin⁡ωmt)BA_c\sin\omega_c t + 2CA_mA_c\sin\omega_m t\sin\omega_c t = BA_c\sin\omega_c t\left(1 + \frac{2CA_m}{B}\sin\omega_m t\right), a genuine AM wave with modulation index μ=2CAmB\mu = \frac{2CA_m}{B}. It is then raised to the required level by a power amplifier and fed to the transmitting antenna. How an AM wave is detected. The receiving antenna intercepts a minute voltage, which is amplified, selected by a tuned circuit, and in a practical superheterodyne receiver mixed with a local oscillator so that every station is translated to a common intermediate frequency of 455455 kHz where the amplification and filtering can be done once and done well. The recovery of the message then happens in the detector. The envelope detector is a diode followed by a parallel combination of RR and CC. The diode passes only the positive half cycles, so the output is a rectified AM wave. On each carrier peak the capacitor charges rapidly to that peak through the small forward resistance of the diode; between peaks the diode is reverse biased and the capacitor discharges slowly through RR. The voltage across CC therefore hops from peak to peak and traces the envelope. A series capacitor afterwards blocks the steady component, which corresponds to the carrier pedestal AcA_c, leaving the message. The design condition is 1fc≪RC≪1fm\frac{1}{f_c} \ll RC \ll \frac{1}{f_m}. Both inequalities are essential and each failure has a name. If RCRC is too small the capacitor discharges appreciably between carrier cycles and the output has a large carrier frequency ripple riding on the audio. If RCRC is too large the capacitor cannot discharge fast enough to follow the envelope when the envelope is falling steeply, and the output becomes a straight downward slope instead of a curve, a defect called diagonal clipping or negative peak clipping. Since the envelope Ac(1+μsin⁡ωmt)A_c(1+\mu\sin\omega_m t) has a maximum fractional rate of fall determined by μ\mu and ωm\omega_m, the precise condition for no diagonal clipping works out to RC≤1−μ2μωmRC \le \frac{\sqrt{1-\mu^2}}{\mu\omega_m}, which also shows that deep modulation of a high audio frequency is the hardest case. Why AM is more vulnerable to noise than FM. Atmospheric and man made noise adds itself to the wave as a fluctuating voltage, which means it shows up as a fluctuation of amplitude. In AM the information is carried by the amplitude, so the detector cannot possibly tell a genuine amplitude variation from a noise spike: the crackle of a lightning stroke goes straight to the loudspeaker. In FM the information is carried by the instantaneous frequency, and the amplitude is meant to be constant. The receiver can therefore place a limiter before the demodulator, a stage that deliberately clips the wave to a fixed amplitude and so removes the amplitude fluctuations, taking most of the noise with them and losing nothing, since the message was never in the amplitude. FM also trades bandwidth for quality: it deliberately occupies about 200200 kHz per channel against the 1010 kHz of AM, and a wider frequency deviation buys a proportionately better output signal to noise ratio, an exchange that has no counterpart in AM. Two further advantages are the capture effect, by which the stronger of two co-channel FM signals suppresses the weaker altogether, and pre-emphasis at the transmitter with matching de-emphasis at the receiver, which lifts the weak high audio frequencies above the noise before transmission. Finally, AM broadcasting occupies the medium wave band where atmospheric noise is severe, while FM lives at VHF where it is far weaker. Key Takeaways and Formulae: • AM wave: cm(t)=Ac(1+μsin⁡ωmt)sin⁡ωctc_m(t) = A_c(1+\mu\sin\omega_m t)\sin\omega_c t with μ=AmAc=Amax−AminAmax+Amin\mu = \frac{A_m}{A_c} = \frac{A_{max}-A_{min}}{A_{max}+A_{min}}, and 0≤μ≤10 \le \mu \le 1. • Expanded form: cm(t)=Acsin⁡ωct+μAc2cos⁡(ωc−ωm)t−μAc2cos⁡(ωc+ωm)tc_m(t) = A_c\sin\omega_c t + \frac{\mu A_c}{2}\cos(\omega_c-\omega_m)t - \frac{\mu A_c}{2}\cos(\omega_c+\omega_m)t. Three frequencies, two side bands of amplitude μAc2\frac{\mu A_c}{2} each. • Bandwidth =2fm= 2f_m, or 2fm,max2f_{m,max} for a message band. Channel spacing in AM broadcasting is 1010 kHz, so audio is limited to about 55 kHz. • Power: Pt=Pc(1+μ22)P_t = P_c\left(1+\frac{\mu^2}{2}\right), side band fraction μ22+μ2\frac{\mu^2}{2+\mu^2}, maximum 13\frac{1}{3} at μ=1\mu = 1. Antenna current It=Ic1+μ22I_t = I_c\sqrt{1+\frac{\mu^2}{2}}. • Several tones: μt=μ12+μ22+…\mu_t = \sqrt{\mu_1^2+\mu_2^2+\dots}, added in quadrature. • Production: add message and carrier, pass through a square law device y=Bx+Cx2y = Bx + Cx^2, then a band pass filter at ωc\omega_c of width 2ωm2\omega_m; the result has μ=2CAmB\mu = \frac{2CA_m}{B}. • Detection: rectifier plus envelope detector with 1fc≪RC≪1fm\frac{1}{f_c} \ll RC \ll \frac{1}{f_m}; too large an RCRC gives diagonal clipping, with the strict limit RC≤1−μ2μωmRC \le \frac{\sqrt{1-\mu^2}}{\mu\omega_m}. • Common mistakes: writing the bandwidth as fmf_m or as 2fc2f_c; forgetting that the carrier amplitude, not the frequency, varies; using Pt=Pc(1+μ2)P_t = P_c(1+\mu^2); adding modulation indices directly instead of in quadrature; believing overmodulation destroys the information rather than the envelope. Brain-Teaser 1: Reading everything off one equation. An amplitude modulated voltage is cm(t)=10(1+0.6sin⁡(2π×103t))sin⁡(2π×106t)c_m(t) = 10\left(1 + 0.6\sin(2\pi\times 10^3 t)\right)\sin(2\pi\times 10^6 t) volts. Find the modulation index, the maximum and minimum envelope amplitudes, all the frequencies present, the bandwidth, the percentage of power in the side bands, and the total power if the carrier alone delivers 100100 W. Solution: Comparing with Ac(1+μsin⁡ωmt)sin⁡ωctA_c(1+\mu\sin\omega_m t)\sin\omega_c t gives Ac=10A_c = 10 V, μ=0.6\mu = 0.6, fm=103f_m = 10^3 Hz =1= 1 kHz and fc=106f_c = 10^6 Hz =1000= 1000 kHz. The envelope swings between Amax=Ac(1+μ)=16A_{max} = A_c(1+\mu) = 16 V and Amin=Ac(1−μ)=4A_{min} = A_c(1-\mu) = 4 V. As a check, 16−416+4=1220=0.6\frac{16-4}{16+4} = \frac{12}{20} = 0.6, which agrees. Three frequencies are present: the lower side band at 1000−1=9991000 - 1 = 999 kHz, the carrier at 10001000 kHz and the upper side band at 1000+1=10011000 + 1 = 1001 kHz. Each side band has amplitude μAc2=0.6×102=3\frac{\mu A_c}{2} = \frac{0.6\times 10}{2} = 3 V. The bandwidth is 2fm=22f_m = 2 kHz, a thousandth of the carrier frequency, which is why the modulated wave still looks like a slightly wobbly carrier. For the power, μ22=0.362=0.18\frac{\mu^2}{2} = \frac{0.36}{2} = 0.18, so the side band fraction is 0.181.18=0.1525\frac{0.18}{1.18} = 0.1525, that is 15.25%15.25\%. Only about a seventh of the radiated power carries the message. The total power is Pt=Pc(1+μ22)=100×1.18=118P_t = P_c\left(1+\frac{\mu^2}{2}\right) = 100\times 1.18 = 118 W, of which 100100 W is the informationless carrier and 99 W goes into each side band. Brain-Teaser 2: Three tones and a hidden overmodulation. A carrier is modulated simultaneously by three tones with individual modulation indices 0.60.6, 0.80.8 and 0.30.3. Is the transmitter overmodulated? What is the total power if the unmodulated carrier power is 11 kW? And why do the indices combine as they do? Solution: The effective index is μt=0.62+0.82+0.32=0.36+0.64+0.09=1.09=1.044\mu_t = \sqrt{0.6^2 + 0.8^2 + 0.3^2} = \sqrt{0.36+0.64+0.09} = \sqrt{1.09} = 1.044. Since μt\mu_t exceeds one the transmitter is overmodulated, even though no individual tone comes close to the limit and a careless engineer watching the tones one at a time would see nothing wrong. Note also the deliberate trap: 0.60.6 and 0.80.8 alone give exactly 0.36+0.64=1.000\sqrt{0.36+0.64} = 1.000, sitting precisely on the boundary, so the third tone, the smallest of the three, is what pushes the system over. The total power is Pt=Pc(1+μt22)=1000(1+1.092)=1000×1.545=1545P_t = P_c\left(1+\frac{\mu_t^2}{2}\right) = 1000\left(1+\frac{1.09}{2}\right) = 1000\times 1.545 = 1545 W. Why quadrature? Each tone creates its own pair of side bands at distinct frequencies fc±f1f_c \pm f_1, fc±f2f_c \pm f_2 and fc±f3f_c \pm f_3. Sinusoids at different frequencies are orthogonal over a long time, so their average powers add with no interference terms. The side band power of the iith tone is μi22Pc\frac{\mu_i^2}{2}P_c, so the total side band power is Pc2∑μi2\frac{P_c}{2}\sum \mu_i^2. Defining an equivalent single tone index by μt22Pc=Pc2∑μi2\frac{\mu_t^2}{2}P_c = \frac{P_c}{2}\sum\mu_i^2 gives μt2=∑μi2\mu_t^2 = \sum\mu_i^2 at once. Powers add, amplitudes do not, and that is the entire origin of the square root. Brain-Teaser 3: Choosing the detector time constant. An envelope detector is to demodulate a carrier of 11 MHz carrying audio up to 55 kHz at a modulation index of 0.60.6. Find the permissible range of RCRC and explain precisely what goes wrong at each end. Solution: The carrier period is 1fc=1 μ\frac{1}{f_c} = 1\ \mus and the shortest audio period is 1fm=200 μ\frac{1}{f_m} = 200\ \mus, so the crude requirement 1fc≪RC≪1fm\frac{1}{f_c} \ll RC \ll \frac{1}{f_m} already places RCRC somewhere in the region of tens of microseconds. The strict upper limit comes from diagonal clipping. The envelope is E(t)=Ac(1+μsin⁡ωmt)E(t) = A_c(1+\mu\sin\omega_m t) and the capacitor, once the diode stops conducting, decays as E e−t/RCE\,e^{-t/RC}, whose initial rate of fall is ERC\frac{E}{RC}. Tracking requires the capacitor to fall at least as fast as the envelope at every instant, that is ERC≥∣dEdt∣=Acμωm∣cos⁡ωmt∣\frac{E}{RC} \ge \left|\frac{dE}{dt}\right| = A_c\mu\omega_m|\cos\omega_m t|. Minimising the ratio over a cycle gives the standard condition RC≤1−μ2μ ωmRC \le \frac{\sqrt{1-\mu^2}}{\mu\,\omega_m}. Substituting μ=0.6\mu = 0.6 and ωm=2π×5000=3.14×104\omega_m = 2\pi\times 5000 = 3.14\times 10^4 rad/s: 1−0.36=0.8\sqrt{1-0.36} = 0.8 and μωm=0.6×3.14×104=1.885×104\mu\omega_m = 0.6\times 3.14\times 10^4 = 1.885\times 10^4, so RC≤0.81.885×104=4.24×10−5RC \le \frac{0.8}{1.885\times 10^4} = 4.24\times 10^{-5} s =42.4 μ= 42.4\ \mus. A sensible design therefore uses RCRC of about 1010 to 20 μ20\ \mus, comfortably above 1 μ1\ \mus and comfortably below 42 μ42\ \mus. What fails at each end. If RCRC is too small, say 2 μ2\ \mus, the capacitor loses a large part of its charge between successive carrier peaks, so the output is a sawtooth at 11 MHz rather than a smooth envelope. The audio is still there, but a strong carrier frequency ripple accompanies it and must be filtered out later, wasting signal. If RCRC is too large, say 200 μ200\ \mus, the capacitor simply cannot follow the envelope on its steep downward stretches. The diode stays reverse biased for many carrier cycles while the true envelope plunges away beneath the slowly decaying capacitor voltage, and the output shows a straight diagonal line where a curve should be. The recovered audio is distorted, with the negative peaks flattened, and the distortion is worst at high audio frequencies and deep modulation, which is exactly what the formula says: both a large μ\mu and a large ωm\omega_m shrink the permitted RCRC.