To introduce mathematical tools and concepts, such as Hilbert transform, and ways to obtain more manageable representations of bandpass signals and systems,
To develop an understanding of the fundamental stages of a communication system, such as modulators and demodulators, and how they work,
To convey the principals of several analog modulation techniques and their practical usage areas,
To investigate the challenges of the communication channel such as noise, bandwidth limitation and to present methods to overcome these challenges.
To provide the students with some hands on experience on how to simulate communication systems using computer tools (MATLAB).
Prerequisite(s)
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Corequisite(s)
-
Special Requisite(s)
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Instructor(s)
Assist. Prof. Dr. Ertuğrul Saatçi
Course Assistant(s)
-
Schedule
Monday, 09:00-13:00, Virtual Classroom
Office Hour(s)
Asst. Prof. Dr. Ertuğrul Saatçı, By e-mail appointment on Skype Business
Teaching Methods and Techniques
The module will be delivered in a series of lectures, supported by tutorial sessions and self-directed study on the part of the student. The course is taught by lectures at the rate of 2 hours and 2 hours tutorial per week.
A part of the lectures will consist of delivery of the course material using powerpoint.
The lectures will follow a textbook and will contain supporting material for the practical sessions.
The lectures will include discussion questions which will be used to stimulate in-class discussion.
Principle Sources
"Introduction to Analog and Digital Communications", Second Edition, Haykin and Moher, Wiley and Sons, 2007.
Other Sources
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Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction, Elements of Communication System, Limitations of Communication Systems, Analog and Digital Messages.
Oral presentation
2. Week
Modulation, CW Modulation, Pulse Modulation, The need for modulation, Advantages of Digital Communication over Analog Communication.
Oral presentation
3. Week
Signal Analysis and Frequency Spectra:Fourier Series, Fourier Transform (FT), Properties of FT.
Oral presentation
4. Week
Frequency Spectra, Amplitude Spectrum, Phase Spectrum, Energy Spectral Density, Power Spectral Density.
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
PO-2
Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
PO-3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
PO-4
Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
PO-5
Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
PO-6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
PO-7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language.
PO-8
Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
PO-9
Awareness of professional and ethical responsibility.
PO-10
Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
PO-11
Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.
Learning Outcomes
LO-1
Calculate the Fourier transform and the energy/power spectral density of communications signals.
LO-2
Calculate the bandwidth and signal-to-noise ratio of a signal at the output of a linear time-invariant system given the signal and the power spectral density of the noise at the input of the system.
LO-3
Explain the operation of amplitude and angle modulation systems in both the time and frequency domains including plotting the magnitude spectra and computing the power and bandwidth requirements of each type of signal.
LO-4
Design a basic analog or digital communications system.
LO-5
Evaluate a given analog or digital communications system in terms of the complexity of the required transmitters and receivers and the power and bandwidth requirements of the system.
