AE15 COMMUNICATION ENGINEERING
1. Introduction to Communication Engineering 2 hours
1.1
Information
signals.
1.2
Block
diagram of a communication system.
1.3
Need
for modulation.
1.4
Transmitters
and Receivers.
1.5
Channel
noise.
II [1]
2. Noise 6 hours
2.1
Types
of noise.
2.2
Description
of shot noise and thermal noise.
2.3
Available
noise power.
2.4
White
noise.
2.5
Noise
temperature and Noise Figure.
2.6
Noise
calculations.
2.7
Mathematical
representation of narrowband noise.
2.8
Probability
density function of the envelope of narrowband noise.
I [14]; II [2]
3. Modulated Signals 20 hours
3.1
Need
for modulation.
3.2
Types
of modulation of a sinusoidal carrier.
3.3
Amplitude
modulation, definition, waveform, mathematical expression.
3.4
Power
relations and spectrum.
(sinusoidal carrier with a sinusoidal
modulating signal)
3.5
Generation
and detection of AM signals.
3.6
AM
Broadcasting.
3.7
Double
sideband (DSB-SC) signals.
3.8
Single
sideband (SSB) signals.
3.9
Vestigial
sideband (VSB) signals.
3.10
Mathematical
expressions of DSB-SC, SSB and VSB signals.
(sinusoidal and arbitrary modulating
signals)
3.11
Spectra.
3.12
Power
and bandwidth savings.
3.13
Generation
and detection methods and their
complexities.
3.14
Typical
applications.
3.15
Performance
of AM signals in the presence of noise.
3.16
Frequency
and phase modulation.
(sinusoidal carrier with sinusoidal
modulating signal)
3.17
Mathematical
expressions, waveforms, Power.
3.18
Spectra
and bandwidth.
3.19
Narrowband
and wideband FM signals.
3.20
Direct
and indirect methods of generation of FM signals.
3.21
Discriminators.
3.22
Performance
of WBFM signals in the presence of noise.
3.23
Pre-emphasis
and de-emphasis.
3.24
FM
stereophonic broadcasting.
3.25
Comparison
of AM and FM signals.
3.26
Frequency
division multiplexing.
I [3, 4, 8, 9];
II [3-6]
4. Pulse Modulation 15 hours
4.1
Sampling
theorem for low pass signals, its statement and proof.
4.2
Recovery
of original signal from the samples.
4.3
Natural
and flat top sampling.
4.4
Pulse
amplitude modulated (PAM) signals.
4.5
Pulse
width modulated (PWM) signals.
4.6
Pulse
position modulated (PPM) signals.
4.7
Generation
and detection of pulse modulation signals.
4.8
Pulse
code modulation (PCM) signals.
4.9
Quantisation
noise, bandwidth, trade-off, nonlinear quantisation, companding.
4.10
Delta
modulation (DM) signals, slope overload, noise, bandwidth.
4.11
Adaptive
delta modulation (ADM).
4.12
Baseband
and modulated data signals.
4.13
Noise
performance.
4.14
Optimum
receiver for baseband binary data
signals.
I [5, 6, 11]; II [13]
5. Information Theory and Coding 12
hours
5.1 Concept
and measure of information, entropy, information rate.
5.2
Source
coding (Shannon-Fano and Huffman).
5.3
Shannon’s
coding theorem.
5.4
Channel
capacity of a Gaussian channel.
5.5
Basic
error control coding.]
5.6
Block
codes – Coding and decoding.
5.7
Examples
of Algebraic codes.
I [13]
6. Practical Communication Systems 5 hours
6.1
Radar
principle.
6.2
Range
equation, Performance factors.
6.3
Pulsed
radars.
6.4
Moving
target indicator.
6.5
CW
Doppler radar.
6.6
Phased
array radar.
6.7
Television
fundamentals: scanning, idea of bandwidth.
6.8
Synchronization
and blanking pulses, composite video signal.
6.9
Monochrome
television transmission and reception.
6.10
Colour
transmission and reception.
II [16-17]
Text Books
I.
Taub & Schilling: Principles of Communication Systems; McGraw Hill
International 2nd Edition, 1986.
II.
Kennedy: Electronic Communication Systems; Tata-McGraw Hill; 3rd
Edition. 1985.
Reference Books
1.
Lathi:
Modern Analog and Digital Communication
Systems; Holt, Rinehart and Winston, 2nd edn., 1993.
2.
Skolnik:
Introduction to Radar Systems; McGraw Hill. 2nd edn.,1980.
3.
Gulati:
Monochrome and Colour Television; Wiley Eastern, 1990.
4.
Das,
Mallick and Chatterjee: Principles of Digital Communications; Wiley Eastern,
1991.