Transmission Technology I

Abstract

1. Introduction3. Bandpass signals4. Time-discrete approximation of analog signals and filters I&II5. Modulation theory I&II6. Modulation techniques7. Optimal receiver and symbol-discrete system models8. Equalization of inter-symbol interference9. Mobile communication I&II

Objective

A unified presentation of modern modulation and detection schemes and relevant aspects of signal processing enables the student to analyze, simulate, implement and research advanced digital communication schemes.

Content

The complexity of advanced wireless and wired digital communications schemes and the required adaptivity lead to a massive utilization of digital signal processing in modulation and detection. In this lecture we introduce the most important advanced digital modulation and detection schemes in a fresh unified framework. Particular emphasis is on discrete system models, which are essential for any digital signal processing. The theoretic foundation is complemented by Matlab-based exercises. The course is structured as follows: - Linear systems and discrete time approximation: theory of linear time invariant systems, band pass signals, discrete time approximation of analog signals and filters; - Modulation: a unified view of modulation schemes, overview of important modulation schemes, linear modulation schemes, nonlinear modulation schemes, finite state modulation; - Demodulation and detection: optimal receiver, optimal receiver for finite state modulation, discrete system models; - Equalization of system imperfections: Intersymbol Interference, Viterbi algorithm, linear equalizers, block decision feedback equalizer; - Mobile communications: fundamental problems, outlook on space time processing.

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