1. Fourier Transform & Signal Analysis
Properties of Fourier Transform
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Time shifting: $$\displaystyle x(t - t_0) \leftrightarrow X(f) e^{-j2\pi f t_0} $$
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Frequency shifting: $$\displaystyle x(t) e^{j2\pi f_0 t} \leftrightarrow X(f - f_0) $$
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Time scaling: $$\displaystyle x(at) \leftrightarrow \frac{1}{|a|} X\left(\frac{f}{a}\right) $$
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Frequency scaling: $$\displaystyle X(af) \leftrightarrow \frac{1}{|a|} x\left(\frac{t}{a}\right) $$
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Duality: If $$\displaystyle x(t) \leftrightarrow X(f) $$, then $$\displaystyle X(t) \leftrightarrow x(-f) $$
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Differentiation: $$\displaystyle \frac{d^n x(t)}{dt^n} \leftrightarrow (j2\pi f)^n X(f) $$
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Integration: $$\displaystyle \int_{-\infty}^{t} x(\tau) d\tau \leftrightarrow \frac{X(f)}{j2\pi f} + \frac{1}{2} X(0) \delta(f) $$
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Parseval's theorem: $$\displaystyle \int_{-\infty}^{\infty} |x(t)|^2 dt = \int_{-\infty}^{\infty} |X(f)|^2 df $$ (energy signals)
Fourier Transform of Standard Signals
| Signal | Time Domain $x(t)$ | Fourier Transform $X(f)$ |
|---|---|---|
| Unit impulse $\delta(t)$ | $\delta(t)$ | $1$ |
| Unit step $u(t)$ | $u(t)$ | $$\displaystyle \frac{1}{j2\pi f} + \frac{1}{2} \delta(f) $$ |
| Signum $\text{sgn}(t)$ | $\text{sgn}(t)$ | $$\displaystyle \frac{1}{j\pi f} $$ |
| Gate function $\text{rect}(t/\tau)$ | $1$ for $|t| \leq \tau/2$, $0$ otherwise | $\tau \text{sinc}(\tau f)$ |
| Sinusoid $$\displaystyle \sin(2\pi f_0 t) $$ | $$\displaystyle \sin(2\pi f_0 t) $$ | $$\displaystyle \frac{j}{2}[\delta(f+f_0) - \delta(f-f_0)] $$ |
| Cosinusoid $$\displaystyle \cos(2\pi f_0 t) $$ | $$\displaystyle \cos(2\pi f_0 t) $$ | $$\displaystyle \frac{1}{2}[\delta(f+f_0) + \delta(f-f_0)] $$ |
| Damped sinusoid $$\displaystyle e^{-at}\sin(\omega_0 t)u(t) $$ | $$\displaystyle e^{-at}\sin(\omega_0 t)u(t) $$ | $$\displaystyle \frac{\omega_0}{(a+j\omega)^2 + \omega_0^2} $$ |
Convolution Theorem
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Time convolution ↔ Frequency multiplication:
$$\displaystyle x(t) * h(t) \leftrightarrow X(f) \cdot H(f) $$
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Frequency convolution ↔ Time multiplication:
$$\displaystyle x(t) \cdot h(t) \leftrightarrow \frac{1}{2\pi} X(f) * H(f) $$
Correlation Functions
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Auto-correlation (energy signal):
$$\displaystyle R_{xx}(\tau) = \int_{-\infty}^{\infty} x(t) x^*(t+\tau) dt $$
Properties: Even function, maximum at $$\displaystyle \tau=0 $$, $$\displaystyle R_{xx}(0) = $$ total energy.
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Cross-correlation:
$$\displaystyle R_{xy}(\tau) = \int_{-\infty}^{\infty} x(t) y^*(t+\tau) dt $$
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Energy Spectral Density (ESD):
$$\displaystyle E_x(f) = |X(f)|^2 $$. Properties: Non-negative, even, $$\displaystyle \int_{-\infty}^{\infty} E_x(f) df = $$ total energy.
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Power Spectral Density (PSD):
$$\displaystyle S_x(f) = \lim_{T\to\infty} \frac{1}{T} |X_T(f)|^2 $$, where $$\displaystyle X_T(f) $$ is FT over $[-T/2, T/2]$.
Properties: Non-negative, even, $$\displaystyle \int_{-\infty}^{\infty} S_x(f) df = $$ total power.
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Wiener-Khinchin theorem: For power signals, $$\displaystyle S_x(f) = \mathcal{F}\{R_{xx}(\tau)\} $$.
[!TIP]
Exam Focus: Fourier transforms of gate, impulse, step, and signum are frequently asked. Practice piecewise signal transforms (e.g., Jun 2024). Remember duality: $$\displaystyle \mathcal{F}\{X(t)\} = x(-f) $$.
2. Amplitude Modulation (AM) Techniques
Need & Principles of Modulation
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Basic communication system:
DiagramCANVAS: Source → Transmitter ( modulator + carrier ) → Channel → Receiver (demodulator) → Destination -
Advantages:
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Frequency translation for efficient antenna radiation ($\lambda/4$).
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Multiplexing: multiple signals on different carriers.
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Noise immunity (some schemes).
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Overcomes limitations of low-frequency transmission.
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Conventional AM (DSB-FC)
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Time-domain equation:
$$\displaystyle s(t) = A_c [1 + m_a \cos(2\pi f_m t)] \cos(2\pi f_c t) $$
where $$\displaystyle m_a = \frac{V_m}{A_c} $$ is modulation index ($$\displaystyle 0 \leq m_a \leq 1 $$).
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Spectrum:
Carrier at $$\displaystyle f_c $$, Upper Sideband (USB) at $$\displaystyle f_c+f_m $$, Lower Sideband (LSB) at $$\displaystyle f_c-f_m $$.
Amplitudes: Carrier $$\displaystyle A_c $$, each sideband $$\displaystyle \frac{m_a A_c}{2} $$.
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Over-modulation: $$\displaystyle m_a > 1 $$ causes envelope distortion.
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Power calculations (load resistance $R$):
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Carrier power: $$\displaystyle P_c = \frac{A_c^2}{2R} $$
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Each sideband power: $$\displaystyle P_{USB} = P_{LSB} = \frac{m_a^2 A_c^2}{4R} = \frac{m_a^2}{2} P_c $$
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Total power: $$\displaystyle P_t = P_c \left(1 + \frac{m_a^2}{2}\right) $$
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Suppressed Carrier Variants
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DSB-SC:
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Equation: $$\displaystyle s(t) = m(t) \cos(2\pi f_c t) $$
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Spectrum: Only USB and LSB (no carrier).
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Generation: Balanced modulator (product detector) or square-law modulator with filtering.
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Demodulation: Synchronous detector (coherent detection).
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SSB-SC:
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Generation:
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Filter method: Generate DSB-SC, then filter out one sideband.
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Phase discrimination (Hilbert transform):
$$\displaystyle s(t) = m(t) \cos(2\pi f_c t) \mp m_h(t) \sin(2\pi f_c t) $$,
where $$\displaystyle m_h(t) $$ is Hilbert transform of $m(t)$.
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Demodulation: Synchronous detection with carrier reinsertion.
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Bandwidth: $$\displaystyle f_m $$ (half of DSB), Power efficiency: Higher than DSB-SC (only one sideband transmitted).
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VSB-SC:
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Need: Practical filtering when message has significant low-frequency content (e.g., TV video). Full SSB filtering near carrier is difficult.
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Generation: Filter DSB-SC with a vestigial filter that passes one sideband fully and a vestige of the other.
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Detection: Coherent detection (carrier suppressed). If carrier is partially transmitted (as in TV), envelope detection possible.
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Modulation/Demodulation Circuits
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Square-law modulator: Uses nonlinear device (diode). Output: $$\displaystyle i = a_0 + a_1 v + a_2 v^2 $$. With carrier $$\displaystyle v_c $$ and message $$\displaystyle v_m $$, product term generates DSB-FC.
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Balanced modulator: Two nonlinear devices with carrier $$\displaystyle 180^\circ $$ out of phase; subtract outputs to cancel carrier → DSB-SC.
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Envelope detector: Diode + RC filter. Conditions for distortionless detection:
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$$\displaystyle m_a \leq 1 $$
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$$\displaystyle \frac{1}{\omega_c} \ll RC \ll \frac{1}{\omega_m} $$, where $$\displaystyle \omega_m $$ is max modulating frequency.
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Synchronous detector: Multiply by coherent carrier, then LPF. Requires carrier phase synchronization.
Performance Comparison
| Modulation | Bandwidth | Power Efficiency | Complexity | Applications |
|---|---|---|---|---|
| AM (DSB-FC) | $$\displaystyle 2f_m $$ | Low (carrier consumes most power) | Simple | Broadcast |
| DSB-SC | $$\displaystyle 2f_m $$ | Medium (no carrier, both sidebands) | Moderate | Coherent systems |
| SSB-SC | $$\displaystyle f_m $$ | High (only one sideband) | High (sharp filtering) | Point-to-point, telephony |
| VSB-SC | $$\displaystyle \approx 1.25 f_m $$ | Medium-high | Moderate | TV video |
Power Saving in AM Systems
For AM with modulation index $$\displaystyle m_a $$:
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Total power: $$\displaystyle P_t = P_c \left(1 + \frac{m_a^2}{2}\right) $$
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Carrier suppression saving:
$$\displaystyle \% = \frac{P_c}{P_t} \times 100 = \boxed{\frac{1}{1 + \frac{m_a^2}{2}} \times 100} $$
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One sideband suppression saving:
$$\displaystyle \% = \frac{P_c + P_{LSB}}{P_t} \times 100 = \boxed{\frac{1 + \frac{m_a^2}{4}}{1 + \frac{m_a^2}{2}} \times 100} $$
[!TIP]
Common Pitfall: Modulation index from antenna currents: $$\displaystyle I_t = I_c \sqrt{1 + \frac{m_a^2}{2}} $$. Solve for $$\displaystyle m_a $$. Power saving calculations appear frequently (e.g., Jun 2025, Jun 2023).
3. Angle Modulation (FM & PM)
Fundamentals
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Angle modulation: $$\displaystyle s(t) = A_c \cos(\omega_c t + \phi(t)) $$, where $\phi(t)$ is phase deviation.
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FM: $$\displaystyle \phi(t) = K_f \int m(\tau) d\tau $$ → instantaneous frequency $$\displaystyle f_i = f_c + \frac{K_f}{2\pi} m(t) $$.
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PM: $$\displaystyle \phi(t) = K_p m(t) $$ → instantaneous frequency $$\displaystyle f_i = f_c + \frac{K_p}{2\pi} \frac{dm(t)}{dt} $$.
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For sinusoidal $$\displaystyle m(t) = A_m \cos(2\pi f_m t) $$:
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FM: $$\displaystyle \phi(t) = \beta \sin(2\pi f_m t) $$, $$\displaystyle \beta = \frac{\Delta f}{f_m} $$, $$\displaystyle \Delta f = K_f A_m $$.
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PM: $$\displaystyle \phi(t) = \beta_p \cos(2\pi f_m t) $$, $$\displaystyle \beta_p = K_p A_m $$.
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Frequency Modulation (FM)
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Modulation index: $$\displaystyle \beta = \frac{\Delta f}{f_m} $$
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Carson's rule (bandwidth approximation):
$$\displaystyle \boxed{BW \approx 2(\Delta f + f_m) = 2f_m(\beta + 1)} $$
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Narrowband FM (NBFM) ($\beta \ll 1$):
$$\displaystyle s(t) \approx A_c \left[ \cos(\omega_c t) - \beta \sin(\omega_c t) \sin(\omega_m t) \right] $$
Spectrum: Carrier + two sidebands (like AM but sidebands $$\displaystyle 180^\circ $$ out of phase). Bandwidth $$\displaystyle = 2f_m $$.
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Wideband FM ($\beta \gg 1$): Many sidebands, bandwidth given by Carson.
FM Generation Methods
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Direct method: VCO or reactance modulator. Instantaneous frequency directly proportional to $m(t)$.
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Indirect method (Armstrong): Phase modulator with integrated $m(t)$, followed by frequency multiplier to increase deviation.
FM Demodulation Methods
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Frequency discriminators:
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Foster-Seeley: Balanced circuit with two tuned circuits (one leading, one lagging). Output proportional to frequency deviation.
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Ratio detector: Limiter + detector; less sensitive to amplitude variations.
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Phase-Locked Loop (PLL) detector:
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Block diagram: Phase comparator → Loop filter → VCO.
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Operation: Input FM compared with VCO output; error voltage (after filtering) is demodulated message.
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Advantages: Noise immunity, stability, capture effect.
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Tracking range: Range over which PLL can lock; Hold-in range: Maximum frequency deviation for which lock is maintained.
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Pre-emphasis & De-emphasis
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Need: FM demodulator output noise has high-frequency emphasis (differentiator effect). Pre-emphasis boosts high frequencies before transmission; de-emphasis attenuates them at receiver → improves SNR at high frequencies.
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Networks:
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Pre-emphasis: High-pass RC (differentiator-like), time constant $$\displaystyle \tau = \frac{1}{2\pi f_c} $$.
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De-emphasis: Low-pass RC (integrator-like), same $\tau$.
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SNR improvement: For sinusoidal modulation at $$\displaystyle f_m $$, improvement factor $$\displaystyle = 1 + \left(\frac{f_c}{f_m}\right)^2 $$.
Derivation: Without pre-emphasis, output $$\displaystyle \text{SNR} \propto \frac{\beta^2}{f_m^2 N_0} $$. With pre-emphasis, signal power at $$\displaystyle f_m $$ multiplied by $$\displaystyle |H_{pre}(f_m)|^2 $$, noise power multiplied by $$\displaystyle |H_{de}(f_m)|^2 $$, giving factor $$\displaystyle 1 + (f_c/f_m)^2 $$.
[!TIP]
Exam Focus: Carson's rule is essential. For NBFM, write the approximate equation. Pre-emphasis/de-emphasis networks and SNR improvement derivation are common (e.g., Jun 2023, Jun 2025).
4. Noise in Analog Communication Systems
Noise Fundamentals
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Classification:
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External: Atmospheric (lightning), galactic (cosmic), industrial (vehicles, appliances).
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Internal: Thermal (Johnson-Nyquist), shot (semiconductors), transit-time (high frequency).
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Noise figure ($F$):
$$\displaystyle F = \frac{\text{SNR}_\text{in}}{\text{SNR}_\text{out}} $$ (same bandwidth). In dB: $$\displaystyle NF = 10 \log_{10} F $$.
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Noise temperature ($$\displaystyle T_e $$):
$$\displaystyle T_e = (F - 1) T_0 $$, where $$\displaystyle T_0 = 290\,\text{K} $$ (reference).
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Noise bandwidth ($$\displaystyle B_n $$):
$$\displaystyle B_n = \frac{1}{|H(f_0)|^2} \int_{-\infty}^{\infty} |H(f)|^2 df $$; for rectangular filter, $$\displaystyle B_n = B $$.
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Friis formula (cascaded amplifiers):
$$\displaystyle F_\text{total} = F_1 + \frac{F_2 - 1}{G_1} + \frac{F_3 - 1}{G_1 G_2} + \cdots $$
Noise in Modulation Systems
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AM (envelope detector):
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At high SNR: $$\displaystyle \text{SNR}_\text{out} \approx \frac{m_a^2 P_c}{2 N_0 B} $$
$$\displaystyle \text{SNR}_\text{in} = \frac{P_c}{N_0 B} $$
Figure of merit: $$\displaystyle \boxed{\frac{\text{SNR}_\text{out}}{\text{SNR}_\text{in}} = \frac{m_a^2}{2 + m_a^2}} $$
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DSB-SC (coherent):
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$$\displaystyle \text{SNR}_\text{out} = \frac{P_m}{N_0 f_m} $$, $$\displaystyle \text{SNR}_\text{in} = \frac{P_m/2}{2 N_0 f_m} = \frac{P_m}{4 N_0 f_m} $$
Figure of merit: $\boxed{4}$
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SSB-SC (coherent):
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$$\displaystyle \text{SNR}_\text{out} = \frac{P_m}{N_0 f_m} $$, $$\displaystyle \text{SNR}_\text{in} = \frac{P_m}{N_0 f_m} $$
Figure of merit: $\boxed{1}$
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FM:
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Threshold effect: Below certain $\beta$, SNR degrades rapidly.
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Capture effect: Stronger signal suppresses weaker ones.
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Figure of merit (large $\beta$): $$\displaystyle \boxed{\frac{3}{2} \beta^2} $$
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Pre-emphasis improves SNR by factor $$\displaystyle 1 + (f_c/f_m)^2 $$.
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[!TIP]
Key Comparison: AM (FOM $$\displaystyle = m_a^2/(2+m_a^2) $$) vs. DSB-SC (FOM $$\displaystyle = 4 $$) vs. FM (FOM $$\displaystyle = \frac{3}{2}\beta^2 $$). FM provides greatest noise immunity for large $\beta$.
5. Receiver Architectures & Performance
TRF (Tuned Radio Frequency) Receiver
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Block diagram:
DiagramCANVAS: RF amplifier → Tuned RF stages → Detector → AF amplifier → Speaker -
Operation: All amplification at RF; successive tuned circuits select desired station.
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Advantages: Simple, no image frequency.
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Limitations:
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Instability (high Q at high frequencies).
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Poor selectivity (difficult to achieve narrow bandwidth at high RF).
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Adjacent channel interference.
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Image frequency not an issue but poor rejection of nearby stations.
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Superheterodyne Receiver
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Block diagram:
DiagramCANVAS: RF amp → Mixer + LO → IF amp → Detector → AF amp → Speaker; with AGC loop -
Operation: Frequency conversion to fixed IF (e.g., 455 kHz for AM, 10.7 MHz for FM) for easier amplification and filtering.
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Intermediate Frequency (IF) Choice:
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Lower IF → better selectivity (higher Q achievable).
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Higher IF → better image rejection ($$\displaystyle f_\text{img} = f_\text{sig} + 2IF $$).
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Must avoid integer multiples of IF in band.
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Standard values: 455 kHz (AM), 10.7 MHz (FM), 38.9 MHz (TV).
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Image Frequency & Rejection:
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Origin: Mixer produces sum and difference frequencies; signal at $$\displaystyle f_\text{img} = f_\text{sig} + 2IF $$ also produces IF.
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Image rejection ratio (IFRR):
$$\displaystyle \boxed{\text{IFRR} = 1 + \left( \frac{2Q f_\text{IF}}{f_\text{sig}} \right)^2} $$
where $Q$ is Q of RF tuned circuit.
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Improvement: Increase RF amplifier Q, use additional tuned stages.
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Selectivity: Ability to separate adjacent channels (determined by IF filter bandwidth).
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Fidelity: Accuracy of audio reproduction (determined by AF response).
Automatic Control Circuits
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AGC (Automatic Gain Control) / AVC:
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Need: Maintain constant output despite signal strength variations.
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Operation: Detector output filtered to generate DC voltage → controls gain of RF/IF amplifiers.
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AFC (Automatic Frequency Control):
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Need: Stabilize local oscillator frequency.
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Operation: Frequency discriminator provides DC error voltage → tunes LO (varactor diode).
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[!TIP]
Exam Focus: Image frequency calculation ($$\displaystyle f_\text{img} = f_\text{sig} + 2IF $$) and IFRR derivation are common (e.g., Jun 2023, Jun 2022). Compare TRF vs. superheterodyne.
6. Specialized Modulation & Detection Techniques
SSB-SC Generation Details
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Phase discrimination method:
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Generate Hilbert transform $$\displaystyle m_h(t) $$ of $m(t)$ (using $$\displaystyle 90^\circ $$ phase-shift network).
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Form: $$\displaystyle s(t) = m(t) \cos(\omega_c t) \mp m_h(t) \sin(\omega_c t) $$.
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Block diagram:
DiagramCANVAS: Input m(t) → split → path1: × cos → path2: Hilbert transform → × (-sin) → sum → SSB-SC
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Balanced modulator + filter: Generate DSB-SC via balanced modulator, then filter out one sideband.
VSB-SC Applications
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TV broadcasting: Video signal has large low-frequency content; full SSB filtering near carrier is impractical. VSB preserves low frequencies while saving ~25% bandwidth compared to DSB.
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Generation: DSB-SC followed by vestigial filter (asymmetric shape).
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Detection: Coherent detection with carrier recovery; if carrier partially transmitted, envelope detection possible.
Costas Loop
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Purpose: Demodulate DSB-SC (carrier recovery).
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Block diagram:
DiagramCANVAS: Input → split → path1: × cos(ω_c t) → LPF → V1; path2: × sin(ω_c t) → LPF → V2; V1 × cos - V2 × sin → output -
Operation: Two phase detectors (0° and 90°). Loop adjusts VCO phase to maximize output, recovering carrier. Output from product of V1 and V2 gives baseband.
FM Transmitter & Receiver
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FM transmitter block diagram:
DiagramCANVAS: Pre-emphasis → Modulator (VCO) → Power amplifier → Antenna -
FM receiver block diagram:
DiagramCANVAS: RF amp → Mixer → IF amp (limiter) → Discriminator/PLL → De-emphasis → AF amp → Speaker
[!TIP]
Short Note Topics: Costas Loop (7m), VSB-SC (4m), SSB generation methods (7m) are frequently asked.
7. Key Calculations & Problem-Solving Topics
Fourier Transform Problems
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Piecewise signals: Split into intervals, integrate $$\displaystyle X(f) = \int x(t) e^{-j2\pi f t} dt $$.
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Properties: Practice time scaling, duality proofs.
AM Calculations
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Modulation index from currents:
$$\displaystyle I_t = I_c \sqrt{1 + \frac{m_a^2}{2}} \quad \Rightarrow \quad m_a = \sqrt{2\left[\left(\frac{I_t}{I_c}\right)^2 - 1\right]} $$
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Power:
$$\displaystyle P_c = \frac{I_c^2 R}{2} $$, $$\displaystyle P_\text{sidebands} = \frac{m_a^2}{2} P_c $$, $$\displaystyle P_t = P_c\left(1 + \frac{m_a^2}{2}\right) $$
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% power saving: See Section 2.
FM Calculations
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Modulation index: $$\displaystyle \beta = \frac{\Delta f}{f_m} $$, $$\displaystyle \Delta f = K_f V_m $$
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Carson's rule: $$\displaystyle BW \approx 2(\Delta f + f_m) $$
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Spectrum: Sideband amplitudes: $$\displaystyle A_c J_n(\beta) $$ for $$\displaystyle n^{th} $$ sideband.
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Effect of changing modulating signal:
$$\displaystyle \Delta f \propto V_m $$, $$\displaystyle \beta \propto \frac{V_m}{f_m} $$.
Receiver Calculations
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Image frequency: $$\displaystyle f_\text{img} = f_\text{sig} + 2 f_\text{IF} $$
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Image rejection ratio: $$\displaystyle \text{IFRR} = 1 + \left( \frac{2Q f_\text{IF}}{f_\text{sig}} \right)^2 $$
Noise Calculations
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Friis formula: $$\displaystyle F_\text{total} = F_1 + \frac{F_2-1}{G_1} + \frac{F_3-1}{G_1 G_2} + \cdots $$
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Figure of merit derivations: For AM, DSB-SC, FM (see Section 4).
8. Short Note Topics (Frequently Asked)
Pre-emphasis & De-emphasis
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Need: Compensate for high-frequency noise boost in FM demodulator.
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Pre-emphasis: High-pass RC network (boost high frequencies).
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De-emphasis: Low-pass RC network (attenuate high frequencies).
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SNR improvement: Factor $$\displaystyle 1 + (f_c/f_m)^2 $$ for sinusoidal $$\displaystyle f_m $$.
PLL Detector
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Block diagram: Phase comparator → Loop filter → VCO.
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Operation: Input FM compared with VCO output; error voltage (filtered) is demodulated message.
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Advantages: Noise immunity, stability, capture effect.
VSB-SC
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Need: Practical filtering for signals with low-frequency content (e.g., TV video).
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Generation: DSB-SC followed by vestigial filter (asymmetric).
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Detection: Coherent detection; if carrier present, envelope detection possible.
AGC (Automatic Gain Control)
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Need: Maintain constant output despite signal strength variations.
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Operation: Detector output filtered → DC control voltage → varies gain of RF/IF amplifiers.
FM Transmitter
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Blocks: Pre-emphasis → Modulator (VCO/reactance modulator) → Power amplifier.
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Modulation: Direct (VCO) or indirect (phase modulator + multiplier).
Convolution Theorem
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Time convolution ↔ Frequency multiplication: $$\displaystyle x(t)*h(t) \leftrightarrow X(f)H(f) $$.
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Frequency convolution ↔ Time multiplication: $$\displaystyle x(t)h(t) \leftrightarrow \frac{1}{2\pi} X(f)*H(f) $$.
IF Frequency
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Choice factors: Selectivity (lower IF better), image rejection (higher IF better), ease of amplification, adjacent channel interference.
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Standard values: 455 kHz (AM), 10.7 MHz (FM), 38.9 MHz (TV).
Noise Bandwidth
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Definition: $$\displaystyle B_n = \frac{1}{|H(f_0)|^2} \int |H(f)|^2 df $$.
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For rectangular filter, $$\displaystyle B_n = B $$.
AFC (Automatic Frequency Control)
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Need: Stabilize local oscillator frequency.
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Operation: Frequency discriminator provides DC error voltage → tunes LO (varactor).
Selectivity
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Ability to separate adjacent channels.
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Determined by IF filter bandwidth and Q.
Image Signal Rejection
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Image frequency: $$\displaystyle f_\text{img} = f_\text{sig} + 2 f_\text{IF} $$.
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Rejection ratio: $$\displaystyle \text{IFRR} = 1 + \left( \frac{2Q f_\text{IF}}{f_\text{sig}} \right)^2 $$.
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Improvement: Increase RF amplifier Q, use additional tuned stages.
Costas Loop
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Used for DSB-SC demodulation and carrier recovery.
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Two phase detectors (0° and 90°); loop adjusts VCO phase.
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Output from product of detector outputs gives baseband.
Narrowband FM vs. AM
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NBFM equation: $$\displaystyle s(t) \approx A_c \left[ \cos(\omega_c t) - \beta \sin(\omega_c t) \sin(\omega_m t) \right] $$.
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Waveform comparison: NBFM has constant envelope (like FM), AM envelope varies with $m(t)$.
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Bandwidth: Both $$\displaystyle 2f_m $$ for NBFM and AM.
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Noise immunity: NBFM slightly better than AM at high SNR? Actually, NBFM offers no SNR improvement over AM (proved in Jun 2022).