通訊原理

本課程介紹通訊信號傳輸之基礎理論與基本技術,是欲了解通訊工程者必備的基礎知識。課程內容以介紹類比訊號傳輸方法及其效能分析為主,也以部分時間介紹數位通訊技術。雖然近年來,通訊系統逐漸愈趨數位化,但本課程所介紹有關類比通訊的各種觀念及數學工具,其實仍是了解數位通訊的重要基礎。本課程與後續的「數位通訊原理」形成內容連續之二學期課程;透過修習這兩門課,可對通訊工程的基要有較完整的認識。但本課程在規劃上,並不假設學生會修習上述第二學期課程。本課程除了基礎理論的練習,也強調以電腦模擬來瞭解通訊系統的運作過程。因此對Matlab或C語言的熟練很重要。 This course introduces the basic theory and basic techniques for communication signal transmission. It provides the fundamental knowledge that a communication system design engineer should possess. This course concentrates on the introduction to analog signal transmission methods and their performance evaluation, but it also covers briefly the very basic concepts in the digital communication technology. Although in recent years, more and more communication systems are in the digital format, the various concepts and mathemat-ical tools discussed in this course concerning analog communication nevertheless lay the essential foundation for understanding the advanced digital communication systems. This course, together with its sequel, “Principles of Digital Communication,” form a two-semester curriculum with connected contents. A more complete understanding of the fundamentals of communication engineering can be acquired by taking both these courses. But the organization of the present course does not assume that students will also take the second-semester course. Computer simulations help learners in understanding the operations of communication systems. It is important for the students to master a few programming tools (Matlab or C language) in this course.

1. 工程數學(含線性代數、機率、常微分方程、複變函數)之基本觀念 Basic concepts in Engineering Mathematics (including Linear Algebra, Probability, Ordinary Differential Equations, and Complex Variables) 2. 訊號與系統 Signals and Systems

無備註

對Matlab或C語言的熟練很重要。 References: 1. S. Haykin and M. Moher, Communication Systems, 5th ed., Wiley, 2009. 2. J. G. Proakis and M. Salehi, Fundamentals of Communication Systems, 2nd ed., Pren-tice-Hall, 2013. 3. A. B. Carlson and P. B. Crilly, Communication Systems, 5th ed, McGraw Hill, 2009

3次小考(30%); 期中考(35%); 期末考(35%) [不交作業] 3 Quizzes (30%), Midterm (35%), Final examine (35%) [No Homework]

• Introduction

  Introduces the concept of communication systems and gives some examples.

• Review of Signals and Systems

  Reviews some concepts taught in the course Signals and Systems that are relevant to the study of communication systems.

• Linear Modulation

  Introduces linear modulation methods and corresponding demodulation methods. Emphasis is typically placed on introducing double-sideband suppressed-carrier (DSBSC) modulation and amplitude modulation (AM), single-sideband (SSB) and vestigial-sideband (VSB) modulations, and mixing. Some time may be spent on introducing analog quadrature amplitude modulation (QAM), concept of multiplexing, concept of analog pulse modulation, and noise effects on linear modulation methods.

• Angle Modulation

  Angle modulation usually refers to frequency modulation (FM) and phase modulation (PM). This unit introduces angle modulation methods and corresponding demodulation methods. Typical contents include basic concepts of angle modulation, power of angle-modulated signal, frequency spectrum of angle-modulated signal, discrimination method of demodulation, and phase-locked loop (PLL) method of demodulation. Some time may be spent on introducing noise effects on angle-modulated signals.

• Review of Probability

  Reviews some concepts in Probability, in preparation for discussion of Random Processes (the next subject unit).

• Random Processes

  Also known as stochastic processes. In communication system design and analysis, it is often convenient or even necessary to represent the transmitted signal or the encountered noise as a random process, that is, random waveforms that appear according to some probability distribution. This unit introduces some basic concepts of random processes, their statistical characterization (such as stationarity), and how a linear system affects the property of a random process (such as the input-output relationship of a linear system and lowpass representation of a bandpass process). Some time may also be spent on introducing some commonly encountered noise sources in communication circuits and commonly used ways of characterizing noise effects in communication systems.

• Performance of Analog Modulation Methods in Noise

  Uses the concepts taught in Random Processes (last subject unit) to analyze the transmission performance of various linear and angle modulation methods.

• Introduction to Digital Communication

  An introduction to digital communication. Contents may include signal-space analysis, baseband digital signal transmission techniques, and passband digital signal transmission techniques.

R. E. Ziemer and W. H. Tranter, Principles of Communications, 7th ed., Wiley, 2014

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