Modulation, Detection and CodingTelecommunications constitute an increasingly important part of human society. In some ways, they are a foundation on which industrial countries rely. Telecommunications play in numerous areas including, banking, air traffic control, medicine, digital and voice communications. More and more people need to understand the foundations of modern telecommunications. The purpose of this book is to give an introduction to coding and modulation methods as well as other signal processing within modern telecom-munica-tions, using basic starting points. The principal topics are source coding, channel coding, modulation and detection. Adaptive channel equalisers and adaptive antennas, which are important parts of the detection process in many systems, are also covered and there are sections about link budget, sychronisation, together with codes and detectors for CDMA. The aim is to give the reader an understanding of the basic functions in telecommunication systems and the methods that are used for the analysis of a complete system. Telecommunications is a field which develops quickly. An understanding of analysing methods which goes beyond simply an understanding of the results of the analysis is valuable knowledge - knowledge that will remain relevant over time and which will aid in understanding new developments as they arise. This text contains theory, fully solved examples, exercises with answers and a short presentation of some communication systems. Basic knowledge in signal processing and probability theory is a necessity to acquire the material. The book is intended for courses on at least the master level but can also be used for self study. |
Contents
LINK BUDGET | 19 |
INFORMATION THEORY AND SOURCE CODING | 37 |
CHANNEL CODING | 81 |
Copyright | |
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Common terms and phrases
algorithm amplitude antenna Assume bandwidth becomes binary block BPSK calculated called carrier changes channel codeword coefficients communication compared complex components consists correct correlation corresponds decision decoding defined demodulator density depends described detection detector determined diagram direction distance elements encoder equal equaliser equation error probability estimation example expressed factor filter frequency function gain given gives increased independent input signal instance interference length limit matrix maximum means method mobile modulation multiplication noise obtained operation output signal parameters path pattern performed phase polynomial position possible properties pulse ratio received signal receiver represents respectively response result sampling seen sequence shift register shown in Figure Solution space spectrum stream symbol synchronisation syndrome term transfer transform transmission transmitted trellis usually vector written zero