UNIT 2: ANALOG COMMUNICATION - EXAM-FOCUSED SHORT NOTES
I. SIGNAL ANALYSIS & FOURIER TRANSFORM (FOUNDATION)
Fourier Transform (FT) Properties & Theorems
- Definition: The Fourier Transform $X(f)$ of a continuous-time signal $x(t)$ is:
$$X(f) = \int_{-\infty}^{\infty} x(t) e^{-j2\pi ft} dt$$
The inverse transform is:
$$x(t) = \int_{-\infty}^{\infty} X(f) e^{j2\pi ft} df$$
| Property | Time Domain | Frequency Domain | Significance |
|---|---|---|---|
| Linearity | $$\displaystyle a x_1(t) + b x_2(t) $$ | $$\displaystyle a X_1(f) + b X_2(f) $$ | Superposition holds. |
| Time Shifting | $$\displaystyle x(t - t_0) $$ | $$\displaystyle X(f) e^{-j2\pi f t_0} $$ | Shift in time → linear phase shift. |
| Frequency Shifting | $$\displaystyle x(t) e^{j2\pi f_0 t} $$ | $$\displaystyle X(f - f_0) $$ | Modulation in time domain. |
| Time Scaling | $x(at)$ | $$\displaystyle \frac{1}{|a|} X\left(\frac{f}{a}\right) $$ | Compresses/expands signal & spectrum. |
| Convolution | $$\displaystyle x_1(t) * x_2(t) $$ | $$\displaystyle X_1(f) \cdot X_2(f) $$ | LTI system output FT = Input FT × System FT. |
| Duality | $X(t)$ | $x(-f)$ | Symmetry between time and frequency. |
| Parseval's Theorem | $$\displaystyle \int |x(t)|^2 dt $$ | $$\displaystyle \int |X(f)|^2 df $$ | Total energy is same in both domains. |
[!TIP] Exam Focus: Derive time/frequency shifting and convolution theorem. Duality is often asked for standard signals.
Fourier Transform of Standard Signals
| Signal | Expression | Fourier Transform $X(f)$ | Key Points |
|---|---|---|---|
| Unit Impulse $\delta(t)$ | $\delta(t)$ | $1$ | Sifting property: $$\displaystyle \int x(t)\delta(t-t_0)dt = x(t_0) $$ |
| Unit Step $u(t)$ | $1$ for $t \geq 0$ | $$\displaystyle \frac{1}{j2\pi f} + \frac{1}{2}\delta(f) $$ | Has both continuous & impulse component. |
| Signum $\text{sgn}(t)$ | $+1$ for $$\displaystyle t>0 $$, $-1$ for $$\displaystyle t<0 $$ | $$\displaystyle \frac{1}{j\pi f} $$ | Odd function, purely imaginary spectrum. |
| Rectangular Pulse (Gate) | $$\displaystyle \text{rect}\left(\frac{t}{\tau}\right) $$ | $\tau \text{sinc}(f\tau)$ | $$\displaystyle \text{sinc}(x) = \frac{\sin(\pi x)}{\pi x} $$. Bandwidth $$\displaystyle \approx \frac{1}{\tau} $$. |
| Complex Exponential | $$\displaystyle e^{j2\pi f_0 t} $$ | $$\displaystyle \delta(f - f_0) $$ | Single frequency line. |
| Cosine $$\displaystyle \cos(2\pi f_0 t) $$ | $$\displaystyle \frac{e^{j2\pi f_0 t} + e^{-j2\pi f_0 t}}{2} $$ | $$\displaystyle \frac{1}{2}[\delta(f-f_0) + \delta(f+f_0)] $$ | Two impulses at $$\displaystyle \pm f_0 $$. |
| Sine $$\displaystyle \sin(2\pi f_0 t) $$ | $$\displaystyle \frac{e^{j2\pi f_0 t} - e^{-j2\pi f_0 t}}{2j} $$ | $$\displaystyle \frac{1}{2j}[\delta(f-f_0) - \delta(f+f_0)] $$ | Odd function, imaginary spectrum. |
[!TIP] Derivation Must: FT of Gate function $\text{rect}(t/\tau)$ is a classic exam question. Practice the integration.
Correlation Functions
- Auto-correlation $$\displaystyle R_{xx}(\tau) $$: Measure of similarity between a signal and its time-shifted version.
$$R_{xx}(\tau) = \int_{-\infty}^{\infty} x(t) x^*(t-\tau) dt \quad \text{(Energy)}$$
$$R_{xx}(\tau) = \lim_{T\to\infty} \frac{1}{T} \int_{-T/2}^{T/2} x(t) x^*(t-\tau) dt \quad \text{(Power)}$$
* **Properties:** Even function ($$\displaystyle R_{xx}(-\tau)=R_{xx}(\tau) $$), max at $$\displaystyle \tau=0 $$ ($$\displaystyle R_{xx}(0)=E $$ or $P$).
* **Relation to ESD/PSD:** **Wiener-Khinchin Theorem:** The Fourier Transform of $$\displaystyle R_{xx}(\tau) $$ is the **Energy Spectral Density (ESD)** $\Psi(f)$ for energy signals, or **Power Spectral Density (PSD)** $$\displaystyle S_{xx}(f) $$ for power signals.
$$\Psi(f) = |X(f)|^2, \quad S_{xx}(f) = \lim_{T\to\infty} \frac{|X_T(f)|^2}{T}$$
- Cross-correlation $$\displaystyle R_{xy}(\tau) $$: Similarity between two different signals.
$$R_{xy}(\tau) = \int_{-\infty}^{\infty} x(t) y^*(t-\tau) dt$$
* **Properties:** Not necessarily even. $$\displaystyle R_{xy}(\tau) = R^*_{yx}(-\tau) $$.
* **Relation to CSD:** Fourier Transform of $$\displaystyle R_{xy}(\tau) $$ is **Cross Spectral Density (CSD)** $$\displaystyle S_{xy}(f) $$.
[!TIP] Key Distinction: ESD $$\displaystyle |X(f)|^2 $$ for finite energy signals. PSD $S(f)$ for finite power signals (limit process). Auto-correlation and PSD are Fourier pairs.
II. AMPLITUDE MODULATION (AM) & ITS VARIANTS
Need & Principle of Modulation
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Basic Block Diagram:
Message Source → Transmitter (Modulator) → Channel → Receiver (Demodulator) → Message Destination -
Main Advantages:
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Frequency Translation: Shifts baseband spectrum to higher carrier frequency → practical antenna size ($l \propto \lambda$).
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Multiplexing: Different signals on different carriers → efficient channel use.
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Noise Reduction: Certain modulation types (FM) offer improved SNR.
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Overcoming Hardware Limitations: Allows design of optimized circuits at carrier frequency.
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Conventional AM (DSB-FC)
- Time-domain Equation:
$$s(t) = A_c [1 + k_a m(t)] \cos(2\pi f_c t)$$
where $$\displaystyle A_c $$ = carrier amplitude, $m(t)$ = message (normalized $|m(t)| \leq 1$), $$\displaystyle k_a $$ = amplitude sensitivity.
**Modulation Index:** $$\displaystyle m = k_a \max|m(t)| $$, $0 \leq m \leq 1$ for no overmodulation.
**% Modulation** $$\displaystyle = m \times 100\% $$.
- Spectrum & Bandwidth:
$$S(f) = \frac{A_c}{2}[\delta(f-f_c) + \delta(f+f_c)] + \frac{A_c k_a}{2}[M(f-f_c) + M(f+f_c)]$$
**Bandwidth** $$\displaystyle B_T = 2f_m $$ (where $$\displaystyle f_m $$ = max modulating frequency).
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Power Distribution:
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Carrier Power: $$\displaystyle P_c = \frac{A_c^2}{2R} $$ (R = load resistance)
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Total Power: $$\displaystyle P_T = P_c (1 + \frac{m^2}{2}) $$
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Sideband Power: $$\displaystyle P_{SB} = P_T - P_c = P_c \frac{m^2}{2} $$
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Power Efficiency $$\displaystyle \eta = \frac{P_{SB}}{P_T} = \frac{m^2}{2+m^2} $$. Max $$\displaystyle \eta = 33.33\% $$ at $$\displaystyle m=1 $$.
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Generation:
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Square Law Modulator: Non-linear device (diode) with $$\displaystyle i = a_1 v + a_2 v^2 $$. Input $$\displaystyle v = A_c \cos \omega_c t + m(t) $$. Squaring term generates $$\displaystyle 2A_c m(t) \cos \omega_c t $$ (DSB-SC) and $$\displaystyle m^2(t) $$ term. Filter out $$\displaystyle m^2(t) $$ & carrier to get AM? Actually, square law alone gives AM with carrier if bias is set correctly.
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Envelope Detector (Demodulation): Simple diode + RC filter. Works if $$\displaystyle m < 1 $$ and $RC$ time constant satisfies $$\displaystyle \frac{1}{\omega_c} \ll RC \ll \frac{1}{\omega_m} $$.
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Demodulation Techniques:
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Envelope Detection: As above. Simple, cheap.
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Synchronous/Coherent Detection: Multiply $s(t)$ by locally generated carrier $$\displaystyle \cos(2\pi f_c t + \phi) $$ (phase-locked), then LPF. Requires carrier phase sync. Better performance in noise.
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Double Sideband Suppressed Carrier (DSB-SC)
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Equation: $$\displaystyle s(t) = A_c m(t) \cos(2\pi f_c t) $$
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Spectrum: $$\displaystyle S(f) = \frac{A_c}{2}[M(f-f_c) + M(f+f_c)] $$. No carrier impulse.
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Generation: Balanced Modulator (e.g., diode ring). Two carriers 180° out of phase → carrier cancels at output → only DSB-SC.
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Demodulation: Coherent Detection only. Multiply by synchronized carrier, LPF → $$\displaystyle \frac{A_c}{2} m(t) $$.
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Figure of Merit (FOM) for DSB-SC:
FOM $$\displaystyle = \frac{(SNR)_{out}}{(SNR)_{c,in}} $$ for coherent detection.
For DSB-SC with coherent detection: $$\displaystyle (SNR)_{out} = \frac{A_c^2 P_m}{4 N_0 B} $$ (for AWGN). Carrier power $$\displaystyle P_c = \frac{A_c^2}{2R} $$.
$$\boxed{\text{FOM}_{\text{DSB-SC}} = \frac{P_m}{2 N_0 B}}$$
where $$\displaystyle P_m $$ = message power, $$\displaystyle N_0/2 $$ = noise PSD, $B$ = bandwidth ($$\displaystyle 2f_m $$).
Single Sideband Suppressed Carrier (SSB-SC)
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Principle: Transmit only one sideband (USB or LSB) + suppressed carrier. Bandwidth $$\displaystyle = f_m $$ (half of DSB/AM).
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Generation Methods (Exam Focus):
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Phase Discrimination / Filter Method:
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Generate DSB-SC using balanced modulator.
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Use a very sharp sideband filter to pass only USB or LSB.
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Block Diagram:
Message → Hilbert Transform → 90° Phase Shift → Balanced Modulator (with carrier) → Sideband Filter → SSB Output.
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Hilbert Transform Method (Conceptual): Use $m(t)$ and its Hilbert transform $\hat{m}(t)$ (90° phase-shifted all frequencies) to generate SSB directly: $$\displaystyle s(t) = A_c [m(t) \cos \omega_c t \mp \hat{m}(t) \sin \omega_c t] $$.
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Demodulation: Coherent detection with locally generated carrier (needs phase sync).
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Power Saving Calculation:
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In AM (DSB-FC): $$\displaystyle P_{total} = P_c (1 + \frac{m^2}{2}) $$
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In SSB-SC: $$\displaystyle P_{total} = \frac{A_c^2}{4R} P_m $$ (carrier suppressed, one sideband suppressed).
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% Power Saving compared to AM:
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$$\boxed{\text{% Saving} = \left(1 - \frac{P_{SSB}}{P_{AM}}\right) \times 100\%}$$
For $$\displaystyle m=1 $$ (100% modulation AM): $$\displaystyle P_{AM} = 1.5 P_c $$, $$\displaystyle P_{SSB} = \frac{P_c}{2} P_m $$ (if $$\displaystyle P_m=1 $$ for normalized $m(t)$). Then % Saving $$\displaystyle = \left(1 - \frac{0.5 P_c}{1.5 P_c}\right) \times 100\% = 66.67\% $$.
**General Formula for given $m$:**
$$\boxed{\text{% Saving} = \frac{2 + m^2}{2 + 2m^2} \times 100\%}$$
Vestigial Sideband (VSB-SC)
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Need: SSB requires very sharp filters (impractical for video signals with DC). VSB is a compromise: one full sideband + a vestige (small part) of the other sideband.
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Bandwidth: $$\displaystyle B_{VSB} = f_m + f_v $$ ($$\displaystyle f_v $$ = vestige width), between DSB ($$\displaystyle 2f_m $$) and SSB ($$\displaystyle f_m $$).
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Generation & Detection: Use a vestigial filter at transmitter (non-symmetrical about $$\displaystyle f_c $$) and a compensating filter at receiver (symmetrical) to restore original DSB shape. Carrier is transmitted (unlike SSB). Used in TV broadcasting (NTSC, PAL).
Comparison of AM, DSB-SC, SSB-SC
| Feature | AM (DSB-FC) | DSB-SC | SSB-SC |
|---|---|---|---|
| Equation | $$\displaystyle A_c[1+m(t)]\cos\omega_c t $$ | $$\displaystyle A_c m(t)\cos\omega_c t $$ | $$\displaystyle A_c m(t) \cos\omega_c t \mp A_c \hat{m}(t) \sin\omega_c t $$ |
| Bandwidth | $$\displaystyle 2f_m $$ | $$\displaystyle 2f_m $$ | $$\displaystyle f_m $$ |
| Carrier | Present (large) | Suppressed | Suppressed |
| Power Efficiency | Low (max 33.3%) | High (no carrier power) | Highest (only one sideband) |
| Demodulation | Envelope or Coherent | Coherent only | Coherent only |
| Complexity | Simple (Tx & Rx) | Moderate (Tx), Complex (Rx sync) | Most complex (Tx filter/Hilbert, Rx sync) |
| Application | Broadcasting (AM radio) | Point-to-point, telemetry | HF communication, telephony |
III. ANGLE MODULATION (FM & PM)
Basic Concepts
- Definition: Information is conveyed by varying the instantaneous angle $\theta(t)$ of the carrier.
$$s(t) = A_c \cos[\theta(t)] = A_c \cos(\omega_c t + \phi(t))$$
where $\phi(t)$ = instantaneous phase deviation.
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Frequency Modulation (FM): $$\displaystyle \phi(t) = k_f \int_{-\infty}^{t} m(\tau) d\tau $$
Instantaneous Frequency: $$\displaystyle f_i(t) = f_c + \Delta f(t) $$, where $$\displaystyle \Delta f(t) = k_f m(t) $$.
Frequency Deviation: $$\displaystyle \Delta f = k_f \max|m(t)| $$.
Modulation Index: $$\displaystyle \beta = \frac{\Delta f}{f_m} = \frac{k_f A_m}{f_m} $$ (for sinusoidal $$\displaystyle m(t)=A_m \sin 2\pi f_m t $$).
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Phase Modulation (PM): $$\displaystyle \phi(t) = k_p m(t) $$
Instantaneous Frequency: $$\displaystyle f_i(t) = f_c + \frac{1}{2\pi} \frac{d\phi(t)}{dt} = f_c + \frac{k_p}{2\pi} \frac{dm(t)}{dt} $$.
Phase Deviation: $$\displaystyle \Delta \phi = k_p A_m $$.
Modulation Index: $$\displaystyle \beta_p = k_p A_m $$ (for sinusoidal $m(t)$).
Key Difference: In FM, $$\displaystyle \beta \propto \frac{A_m}{f_m} $$; in PM, $$\displaystyle \beta_p \propto A_m $$ only.
Narrowband FM (NBFM) vs. Wideband FM
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NBFM Approximation ($\beta \ll 1$):
Using $$\displaystyle \cos(\omega_c t + \beta \sin \omega_m t) \approx \cos \omega_c t - \beta \sin \omega_m t \sin \omega_c t $$
$$s_{NBFM}(t) \approx A_c \cos \omega_c t - \frac{A_c \beta}{2} [\cos(\omega_c-\omega_m)t - \cos(\omega_c+\omega_m)t]$$
* **Similar to DSB-SC** with carrier and two sidebands. Bandwidth $$\displaystyle = 2f_m $$.
* **SNR Performance:** NBFM offers **no SNR improvement** over DSB-SC (coherent) or AM (coherent). Proof: Both have output SNR $$\displaystyle \propto \frac{A_c^2 P_m}{N_0 B} $$.
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Wideband FM ($$\displaystyle \beta > 1 $$):
- Carson's Rule (Bandwidth):
$$\boxed{B_T \approx 2(\Delta f + f_m) = 2f_m (\beta + 1)}$$
* **Noise Immunity:** FM's **threshold effect** and **capture effect** provide superior noise performance over AM for $$\displaystyle \beta > 1 $$.
Generation of FM
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Direct Method (Varactor Diode Modulator):
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Principle: Varying capacitance of a varactor diode (reverse-biased) with $m(t)$ changes the resonant frequency of an LC oscillator → directly generates FM.
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Circuit:
Message Amp → Varactor Diode in parallel with LC Tank of Oscillator.
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Indirect Method (Armstrong Method):
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Principle: First generate NBFM using a phase modulator (balanced modulator with 90° phase-shifted carrier). Then frequency multiply (using non-linear device) to increase $\beta$ and $$\displaystyle f_c $$ to desired values.
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Block:
Message → Integrator → Phase Modulator (with 90° shifted carrier) → Frequency Multiplier → FM Output.
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Demodulation of FM (Very High Frequency)
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Frequency Discriminators: Convert frequency variations to amplitude variations.
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Foster-Seeley Discriminator:
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Circuit: Tuned transformer (primary: RF input; secondary: two tuned circuits at $$\displaystyle f_c $$, one slightly above, one slightly below) followed by diode envelope detectors.
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Operation: At $$\displaystyle f_c $$, secondary voltages are 90° out of phase → sum zero. Deviation $\pm \Delta f$ → one diode output > other → positive/negative DC output.
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Ratio Detector: Variation of Foster-Seeley with a capacitor across the load resistor → eliminates need for strict amplitude limiting.
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Phase-Locked Loop (PLL) Detector:
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Components: Phase Detector (PD), Loop Filter (LF), Voltage-Controlled Oscillator (VCO).
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Operation: FM signal → PD (with VCO output) → error voltage proportional to frequency deviation → LF smoothes → controls VCO frequency. VCO control voltage is the demodulated output. Excellent tracking, low noise.
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Slope Detector: Simple tuned circuit at slope of its response curve → FM to AM → envelope detector. Poor linearity.
Carson's Rule
- Statement: For a wideband FM signal with modulation index $\beta$ and max modulating frequency $$\displaystyle f_m $$, the required transmission bandwidth is approximately:
$$\boxed{B_T \approx 2(\Delta f + f_m)}$$
where $$\displaystyle \Delta f = \beta f_m $$ is peak frequency deviation.
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Significance: Contains ~98% of total signal power. Used for channel allocation.
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Numerical Problem: Given $$\displaystyle s(t) = A_c \cos(2\pi f_c t + \beta \sin 2\pi f_m t) $$, identify $\beta$, $$\displaystyle f_m $$, $$\displaystyle \Delta f = \beta f_m $$, then $$\displaystyle B_T = 2(\Delta f + f_m) $$.
Pre-emphasis & De-emphasis (Very High Frequency)
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Significance: Noise in FM receivers has a high-frequency bias (noise PSD often $$\displaystyle \propto f^2 $$). To improve output SNR for high-frequency modulating signals, boost high frequencies at transmitter (pre-emphasis) and attenuate them equally at receiver (de-emphasis). Net effect: flat signal spectrum, reduced noise in high-frequency band.
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Circuit Implementation: Simple RC networks.
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Pre-emphasis Filter (Transmitter): High-pass filter. Transfer function $$\displaystyle H_{pre}(f) = 1 + j\frac{f}{f_x} $$ ($$\displaystyle f_x $$ = break frequency, e.g., 2122 Hz for FCC).
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De-emphasis Filter (Receiver): Low-pass filter (complementary). $$\displaystyle H_{de}(f) = \frac{1}{1 + j\frac{f}{f_x}} $$.
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Net: $$\displaystyle H_{pre}(f) H_{de}(f) = 1 $$ for signal. Noise at high $f$ is attenuated by $$\displaystyle |H_{de}(f)|^2 $$.
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Neat Sketch: Show message $m(t)$ → Pre-emphasis (HPF) → FM Modulator → Channel → FM Demodulator → De-emphasis (LPF) → Output $m(t)$.
[!TIP] Exam Focus: Derive how pre-emphasis/de-emphasis improves SNR. Know the RC circuit values and break frequency.
IV. NOISE IN ANALOG COMMUNICATION SYSTEMS
Noise Fundamentals
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Definition: Unwanted random electrical signals that interfere with the desired signal.
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Classification:
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External Noise: Atmospheric, Industrial, Galactic (extraterrestrial).
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Internal Noise: Generated within the system/receiver. Most critical: Thermal (Johnson-Nyquist), Shot, Flicker ($1/f$), Transit-time.
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Key Parameters:
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Noise Temperature $$\displaystyle T_n $$: Temperature (in Kelvin) that would produce the same available noise power as the actual noise source. $$\displaystyle P_n = k T_n B $$ ($k$ = Boltzmann's constant).
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Noise Figure $F$: Ratio of output SNR to input SNR (for a given bandwidth). $$\displaystyle F = \frac{(SNR)_{in}}{(SNR)_{out}} $$. In dB: $$\displaystyle NF = 10 \log_{10} F $$. $F \geq 1$ (0 dB).
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Noise Bandwidth $$\displaystyle B_n $$: Bandwidth of an ideal brick-wall filter that passes same noise power as the actual filter with transfer function $$\displaystyle |H(f)|^2 $$. $$\displaystyle B_n = \frac{\int_0^\infty |H(f)|^2 df}{|H(f_c)|^2} $$.
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Noise in AM Systems
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Effect: Noise appears at demodulator output directly (envelope detector) or after multiplication (coherent detector).
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Figure of Merit (FOM) for Coherent AM Detection:
For AM with modulation index $m$, carrier power $$\displaystyle P_c $$, message power $$\displaystyle P_m $$.
Output SNR (coherent) $$\displaystyle \propto \frac{A_c^2 P_m m^2}{4 N_0 B} $$.
Input SNR (to modulator) $$\displaystyle \propto \frac{A_c^2}{2 N_0 B} $$ (carrier power in noise bandwidth).
$$\boxed{\text{FOM}_{\text{AM-coherent}} = \frac{m^2}{2}}$$
* **Comparison:** For $$\displaystyle m=1 $$, FOM = 0.5. **DSB-SC FOM = 1** (from Unit 2, Sec II). **SSB-SC FOM = 1** (same as DSB-SC but with half bandwidth).
* **Conclusion:** **SSB/DSB-SC (coherent) > AM (coherent) > AM (envelope)** in noise performance for same transmitted power.
Noise in FM Systems
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Threshold Effect: For low SNR at FM receiver input, discriminator output SNR degrades rapidly (non-linear region). Below a threshold (typically 10-15 dB), performance collapses.
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Capture Effect: In FM, when multiple signals arrive, the strongest one captures the receiver, suppressing weaker ones (unlike AM where they add).
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Why FM is More Immune?
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Constant Amplitude: Limiter in FM receiver removes amplitude noise → only frequency deviations matter.
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Wideband: Carson's rule bandwidth $$\displaystyle >> $$ message bandwidth → noise power spread over larger BW → less noise in message band.
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SNR Improvement: For high $\beta$ (wideband FM), output SNR $$\displaystyle \propto \beta^2 $$ (Carson's rule: $$\displaystyle B_T \propto \beta $$, noise power $$\displaystyle \propto B_T $$, signal power $$\displaystyle \propto \beta^2 $$). So $$\displaystyle (SNR)_{out} \propto \beta^2 / \beta = \beta $$.
FOM for FM (high $\beta$): $$\displaystyle \text{FOM}_{FM} \approx \frac{3}{2} \beta^2 $$ (conceptual, compared to AM's $$\displaystyle m^2/2 $$). For $$\displaystyle \beta=5 $$, FOM ~37.5 vs AM's 0.5 → huge improvement.
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V. RECEIVERS & ASSOCIATED CIRCUITS
TRF (Tuned Radio Frequency) Receiver
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Block Diagram:
RF Amplifier (tuned) → Mixer (no, actually TRF has multiple RF amps & detectors) → Detector → AF Amplifier. All stages tuned to carrier frequency. -
Operation: Each stage (RF amps, detector) is tuned to the desired station's RF. Direct conversion.
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Disadvantages/Limitations:
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Selectivity: Hard to achieve high selectivity at high RF (requires high-Q tuned circuits, unstable).
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Image Frequency: No image rejection (no frequency conversion). Any signal at $$\displaystyle f_{image} = f_c + 2f_{IF} $$ (if IF existed) or just any strong signal at nearby frequency causes interference.
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Gain & Stability: Gain must be high at RF → prone to oscillations, instability.
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Bandwidth: Bandwidth of tuned circuits must be wide enough for entire AM band (550-1600 kHz) → poor selectivity.
Why Superhet replaced TRF: Superhet converts to fixed, lower IF → high, stable selectivity & gain at IF.
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Superheterodyne Receiver (Very High Frequency)
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Detailed Block Diagram & Function:
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RF Amplifier: Tuned to $$\displaystyle f_c $$, amplifies signal, provides initial image rejection.
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Mixer: Multiplies RF input with Local Oscillator (LO) signal. Produces sum & difference frequencies.
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Local Oscillator (LO): Generates $$\displaystyle f_{LO} = f_c + f_{IF} $$ (high-side injection) or $$\displaystyle f_{LO} = f_c - f_{IF} $$ (low-side). Must be stable & tunable.
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IF Amplifier: Core of receiver. Tuned to fixed $$\displaystyle f_{IF} $$ (e.g., 455 kHz for AM, 10.7 MHz for FM). Provides most gain and high selectivity (using ceramic/SAW filters).
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Detector/Demodulator: AM: envelope detector or product detector. FM: discriminator or PLL.
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AF Amplifier: Amplifies audio to drive speaker.
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Automatic Gain Control (AGC): Derived from detector output → controls gain of RF/IF amps to maintain constant output level.
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Image Frequency:
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Definition: An undesired input frequency $$\displaystyle f_{img} $$ that, after mixing with LO, produces the same IF as the desired signal.
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How it Arises: For desired $$\displaystyle f_c $$, $$\displaystyle f_{IF} = |f_{LO} - f_c| $$. If another signal $$\displaystyle f_{img} $$ exists such that $$\displaystyle |f_{LO} - f_{img}| = f_{IF} $$, it also gets converted to IF.
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Calculation: For high-side injection ($$\displaystyle f_{LO} = f_c + f_{IF} $$):
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$$f_{img} = f_{LO} + f_{IF} = (f_c + f_{IF}) + f_{IF} = f_c + 2f_{IF}$$
* **Image Frequency Rejection Ratio (IFRR):** Ratio of desired signal gain at $$\displaystyle f_c $$ to undesired signal gain at $$\displaystyle f_{img} $$.
$$\boxed{\text{IFRR} = \frac{G(f_c)}{G(f_{img})} \approx Q_{RF} \cdot \frac{f_c}{f_{IF}}}$$
where $$\displaystyle Q_{RF} $$ = Q-factor of RF amplifier tuned circuit. **Higher RF Q → better image rejection.**
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Choice of Intermediate Frequency (IF):
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Low IF (e.g., 455 kHz): Easier to achieve high selectivity (higher Q possible), lower cost. But image frequency problem is worse ($$\displaystyle f_{img} = f_c + 910 $$ kHz, very close).
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High IF (e.g., 10.7 MHz for FM): Easier image rejection ($$\displaystyle f_{img} $$ far away), better adjacent channel rejection. But selectivity harder at high frequency (lower Q), more expensive.
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Compromise: For AM, 455 kHz is standard. For FM, 10.7 MHz is standard.
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Automatic Gain Control (AGC) / Automatic Volume Control (AVC)
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Need: Maintain constant audio output level despite variations in received signal strength (fading, distance).
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Principle: Detect average signal level (from detector output) → generate DC control voltage → apply to gain-controlled stages (usually IF amps, sometimes RF).
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Block Diagram:
Detector Output → AGC Filter (LPF) → AGC Amplifier → Gain-Controlled IF Amplifier. -
Difference AGC vs AFC:
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AGC: Controls amplitude (gain) to stabilize output level.
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AFC (Automatic Frequency Control): Controls frequency of LO to correct for drift. Uses discriminator output (which is proportional to frequency error) → filtered → applied to LO varactor.
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Selectivity & Fidelity
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Selectivity: Ability of receiver to separate desired signal from adjacent channel signals. Determined by IF filter bandwidth. High selectivity → narrow IF BW.
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Fidelity: Ability to accurately reproduce the original message signal (audio). Requires sufficient bandwidth to pass all modulating frequencies. High fidelity → wide IF BW.
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Trade-off: Increasing selectivity (narrow BW) reduces fidelity (distorts high audio freqs). AM receivers compromise (BW ~5-10 kHz).
VI. SPECIAL CIRCUITS & CONCEPTS (FREQUENT SHORT NOTES)
Phase-Locked Loop (PLL)
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Basic Components:
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Phase Detector (PD): Output voltage $$\displaystyle v_d(t) \propto \sin[\phi_{in}(t) - \phi_{VCO}(t)] $$.
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Loop Filter (LF): Low-pass filter. Removes high-freq PD output & controls loop dynamics.
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Voltage-Controlled Oscillator (VCO): Output frequency $$\displaystyle f_{VCO} = f_0 + K_v v_f(t) $$, where $$\displaystyle v_f(t) $$ is filtered PD output.
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Operation as FM Detector:
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FM signal (varying $$\displaystyle f_i $$) → PD (with VCO output).
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If VCO tracks input, $$\displaystyle v_f(t) $$ becomes a voltage proportional to frequency deviation → demodulated output.
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Advantages: High gain, good linearity, inherent noise filtering.
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Costas Loop
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Specific PLL configuration for demodulating DSB-SC/SSB (suppressed carrier signals).
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Diagram:
Input (DSB-SC) → Split → Two PDs:-
PD1: Input × VCO output (0°)
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PD2: Input × VCO output 90° phase-shifted
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Both PD outputs → LF → controls VCO.
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Output: The 0° PD output (after LPF) is the demodulated baseband $m(t)$. The 90° PD output provides error signal for carrier recovery (phase lock).
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Why needed for DSB-SC? No carrier to synchronize to. Costas loop extracts and locks to the suppressed carrier phase.
Balanced Modulator
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Circuit: Typically a diode ring or transistor differential pair.
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Operation: Two carriers 180° out of phase applied to two arms. Desired: carrier cancellation → output contains only $$\displaystyle m(t) \cos \omega_c t $$ (DSB-SC). Used for generating DSB-SC or AM with suppressed carrier.
FM Transmitter Block Diagram
Message Signal → Pre-emphasis → Direct/Indirect FM Modulator → Power Amplifier → Antenna
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Direct FM:
Pre-emphasis → Varactor Modulator (in VCO) → Power Amp. -
Indirect FM:
Pre-emphasis → Integrator → Phase Modulator (with 90° shifted carrier) → Frequency Multiplier → Power Amp.
Convolution Theorem
- Statement: The Fourier Transform of the convolution of two time-domain signals is the product of their individual Fourier Transforms.
$$x_1(t) * x_2(t) \leftrightarrow X_1(f) \cdot X_2(f)$$
- Significance: Fundamental property of LTI systems. If $x(t)$ is input, $h(t)$ is impulse response, then output $$\displaystyle y(t) = x(t)*h(t) \leftrightarrow Y(f) = X(f)H(f) $$. Simplifies analysis: multiplication in freq domain ↔ convolution in time domain.
[!TIP] Final Exam Strategy: For short notes, draw diagrams where possible (PLL, Costas Loop, Superhet, Discriminators). Box key formulas (Carson's Rule, FOM, IFRR, Power Saving). Compare AM schemes in a table. Derive FT of gate function and FOM for DSB-SC step-by-step.