Digital Communication and Signal Processing

Abstract

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

Objective

Digital communication systems are characterized by ever increasing requirements on data rate, spectral efficiency and reliability. Due to the huge advances in very large scale integration (VLSI) we are now able to implement extremely complex digital signal processing algorithms to meet these challenges. As a result the physical layer (PHY) of digital communication systems has become the dominant function in most state-of-the-art system designs. In this course we discuss the major elements of PHY implementations in a rigorous theoretical fashion and present important practical examples to illustrate the application of the theory. In Part I we treat discrete time linear adaptive filters, which are a core component to handle multiuser and intersymbol interference in time-variant channels. In Part II we develop a theoretical framework for multidimensional modulation and detection. Our approach covers all state-of-the-art linear modulation schemes and includes multiuser and MIMO wireless scenarios in a natural fashion. Special emphasis is on lossless discrete system representations, which are fundamental for digital signal processing. In Part III we cover parameter estimation and synchronization. Based on the classical discrete detection and estimation theory we develop digital algorithms for symbol timing and frequency synchronization.

Content

Part I: Linear adaptive filters for digital communication • Finite impulse response (FIR) filter for temporal and spectral shaping • Wiener filters • Method of steepest descent • Least mean square adaptive filters Part II: A theoretical framework for multi-dimensional modulation and detection • Modulation theory • Linear modulation schemes • Optimum receiver and discrete system models Part III: Parameter estimation and synchronization • Discrete detection theory • Discrete estimation theory • Synthesis of synchronization algorithms

Resources