This course has been designed to be offered as an
integrated course covering:
- SIGNAL
THEORY: Representation of deterministic signals: Orthogonal representation of
signals. Dimensionality of signal spaces. Construction of orthogonal basis
functions. Random Processes: Definition and classification, stochastic
integrals, Fourier transforms of random processes, stationary and
non-stationary processes, correlation functions. Ergodicity, power spectral
density, transformations of random processes by linear systems.
- DIGITAL
COMMUNICATION SYSTEM: characterization of communication signals, signal space
representation, equalization, matched filtering, binary PSK, QPSK, FSK, QAM
& M-Ary modulation techniques and their representation. Coherent &
non-coherent detection, carrier & symbol synchronization, bits vs. symbol
error probability, bandwidth efficiency, Spread spectrum modulation: Pseudo
noise sequences, DS & FH spread spectrum.
- Satellite Communication systems: satellite link:
design and analysis, multiplexing techniques, multiple accesses for satellite
links: FDMA, TDMA CDMA &DAMA, propagation effects, DBS-TV, GPS. VSAT:
Network architecture, access control protocol & link analysis.
- DIGITAL SIGNAL PROCESSING: DFT & its
properties. Decimation in time and decimation in frequency FFT algorithms,
discrete cosine transform. IIR Filter design: Butterworth design, bilinear
transformation. Low Pass, High Pass, Band Pass and Band Stop digital filters.
Spectral transformation of IIR filters.
- Cellular communication systems, Microwave
Communication systems
Intended learning outcomes
Knowledge &understand
To inform the student with the types and components of communication systems
To introduce student the types of signals and their characteristics
To introduce student the Fourier series and Fourier transform
To introduce student the methods of modification in communication systems
mental skills
That the student distinguish between communication systems
That the student understand some of the important elements of transmission and reception and their characteristics.
To distinguish between ideal and imperfect sampling method.
That the student distinguish between the process of modification, quantization and coding.
Practical & professional skills
The student analyzes the signal for its components using the Fourier series
That the student determine the form of the signal resulting from the processes of modification, quantization and encoding.
The student converts analogue signals into digital
The student represents the signals and applies the basic operations in the communication system using one of the programming languages.
General and transferable skills
The student should be able to have oral and written communication skills.
The student will acquire the skill of writing a report
The ability to work together by working in a team
The ability to use modern technology
The ability to manage time by adhering to exam dates and tests
Teaching and learning methods
Lectures
Tutorials
Problem-based learning
Mini-projects
Methods of assessments
Midterm exam1 = 20
Midterm exam 2 = 20
activity(lab) = 10
Final exam = 50
Course contents
Introduction to the communication system, components of the communication system .