30220403 (Fundamentals of Communication Systems)

Course Name: Fundamentals of Communication Systems

Course Number: 30220403

Program: Undergraduate program

Type: Selective

Credits: 3

Term Offered: Fall

Prerequisite(s): Probability and Random Variables, Signal and Systems

Instructor(s):  Renjie Ding, Jingbo Guo


Simon Haykin, Introduction to Analog and Digital Communications, Wiley and PHE,2007. (in Chinese or in English)


John G..Proakis, Fundamentals of Communication Systems, Prentice Hall and PHE, 2007. (in Chinese or in English)

Simon Haykin, Communication Systems, 4thED, PHE, 2003. (in Chinese or in English)

Couch, Leon W, Digital and Analog Communications Systems, 6th ED, PHE, 2003. (in Chinese or in English)

Course Description:

  The course is about the foundation of digital and analog communications systems for Electrical Engineering undergraduate students. The course provides students with principle of information transmission and its performance in noise, the implementations of modern communication systems and its typical applications. The course covers physical layer essential communication theory and current engineering practice, carefully explaining the real-world trade-offs necessary among performance, spectral efficiency, and complexity.

Course Objectives and Outcomes:

     Numbers in brackets are linked to department educational outcomes

1.Students learn the bandpass representation for carrier modulated signals. [1]

2.Students engage in engineering design of communication system components, such as phase-lock loop and matched filter. [3]

3.Students learn to analyze the performance, spectral efficiency, and complexity of the various options for transmitting analog and digital message signals.[3]

4.Students learn to characterize noise in communication systems. [5,10]

5.Students are familiar with various intuitive ideas in electrical engineering, e.g. trade-off between the performance and complexity of communication systems.[3, 5, 11]

Course Topics:

The main contents include four parts: (1) Mathematical Foundations;(2)Analog Communications;(3)Digital Communications;(4)Performance of Communication Systems in Noise.


1.Introduction to communication systems. Historical perspectives on communication systems and communication theory, resources and operational requirements for communication systems.

2.Signals and Systems Review. Signal classification, Fourier transform, Hilbert transform, base band and pass band signals.

3.Random signal and noise. Review of probability and random variables. Random process, correlation and spectral of random signals and noise, Gaussian noise, narrow band noise, LTI transformation of random process.

4.Amplitude Modulation. Virtues, limitations, and modifications of amplitude modulation, AM, DSB-SC, SSB, VSB, QAM, theme examples of amplitude modulation system.

5.Analog Angle Modulation. Angle-modulation waves, relationship between pm and fm waves, narrow band fm and wide-band fm, transmission bandwidth of fm waves, generation and demodulation of fm waves, theme examples of fm system.

6.Analog-to Digital Conversion. Sampling process, pulse-amplitude modulation, pulse-position modulation, quantization process, Pulse Code Modulation, DPCM.

7.Base-band Data Transmission. Basis of digital transmission,the inter symbol interference problem, The Nyquist channel, Raised-Cosine pulse spectrum, baseband transmission of m-ary data, the eye pattern.

8.Digital band-pass modulation transmission. Some preliminaries, three binary signaling schemes, coherent and non-coherent demodulation of digital modulation schemes, mapping and constellations.

9.Performance of Analog Communications Systems in Noise. Noise in analog communications, Signal-to-Noise Ratio, noise in linear receivers using coherent detection, noise in AM Receivers using envelope detection, detection of frequency modulation, FM pre-emphasis and de-emphasis.

10.     Performance of Digital Communications Systems in Noise. Noise in digital communications, bit error rate, optimum detection of PAM/FSK/PSK/QAM in noise, comparison of digital performance. Introduction to error detection and correction.



1. Characterization of fading channel.

2. PCM codec.

3. FSK transmission system.

4. BPSK transmission system.

5. Phase-locked loop in FM.



1.Theme project 1-equalization of base band transmission.

2.Theme project 2-OFDM transmission.

3.Theme project 3- performance of FM transmission in noise.

4.Theme project 4- optimum receiver of digital pulse trains.

Course Assessment:

       Homework measures, 30%.

       Theme project measures, 20%.

Final exam score, 50%.