Chaotic electronics in telecommunications /

"At the code level, discrete-time chaotic systems can be used to generate spreading codes for DS-SS systems. At the signal level, continuous-time chaotic systems can be used to generate wideband carriers for digital modulation schemes. The potential of chaos engineering is now recognized worldw...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Kennedy, Michael Peter, Rovatti, Riccardo, Setti, Gianluca
Format: eBook
Language:English
Published: Boca Raton : CRC Press, ©2000.
Subjects:
Online Access:Connect to the full text of this electronic book

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520 2 |a "At the code level, discrete-time chaotic systems can be used to generate spreading codes for DS-SS systems. At the signal level, continuous-time chaotic systems can be used to generate wideband carriers for digital modulation schemes. The potential of chaos engineering is now recognized worldwide, with research groups actively pursuing the exploitation of chaotic phenomena in cryptography, spread spectrum communications, electromagnetic interference reduction, and many other applications. Although some noteworthy results have already been achieved, until now, the field has lacked both a systematic treatment of these developments and a careful, quantitative comparison of chaos-based and conventional techniques. Chaotic Electronics in Telecommunications fills both of those needs. It addresses the use of chaos in digital communications applications, from the coding level to circuit design. Each chapter offers a formal exposition of the theoretical and engineering tools needed to apply chaos, followed by discussion of the algorithms and circuits needed to apply the theory to real-world communications systems."--Provided by publisher. 
505 0 |a Cover; Half Title; Title Page; Contents; 1 Introduction; 1.1 Motivation; 1.2 What is chaos?; 1.3 Outline of the book; I: CHAOS AT CODE LEVEL; 2 Introduction to DS-CDMA; 2.1 Introduction; 2.2 Spread Spectrum Concept; 2.2.1 Frequency Hopping; 2.2.2 Time Hopping; 2.2.3 Direct Sequence; 2.2.4 Final Remarks; 2.3 Spreading Codes and Environments; 2.3.1 Short and Long Sequences; 2.3.2 Chip Waveform; 2.3.3 Near Far Problem, Soft Degradation and Voice Activity Factor; 2.3.4 From SIR to bit error probability: the Standard Gaussian Approximation; 2.4 Synchronization; 2.4.1 Serial Search 
505 8 |a 2.4.2 Parallel Search2.5 Advanced Topics on DS-CDMA; 2.5.1 Serial Canceller; 2.5.2 Parallel Canceller; 3 Chaos-based Asynchronous DS-CDMA systems; 3.1 Introduction; 3.2 Channels and System Model; 3.2.1 Transmission over a selective fading channel; 3.2.2 System with non-Selective Channel; 3.3 Sequences generation with chaotic maps; 3.3.1 The Perron-Frobenius Operator: a tool for studying chaos with densities; 3.3.2 Correlations of quantized chaotic trajectories; 3.3.3 Specialization to Piecewise Affine Markov maps; 3.3.4 The Case of (n, t)-Tailed Shifts; 3.3.5 Application to DS-CDMA systems 
505 8 |a 3.4 Performance over a non-selective channel3.4.1 Numerical results; 3.4.2 Nearly optimal performance over a non-selective channel; 3.5 Performance over a selective fading channel; 3.5.1 Numerical results; 3.6 Conclusion; 4 Information Sources Using Chaotic Dynamics; 4.1 Introduction; 4.2 Information Sources and Markov Chains; 4.2.1 A Model for a Communication System; 4.2.2 Kalman's Markov Map and Markov Information Sources; 4.3 How to Generate Sequences of Random Variables; 4.3.1 Bernoulli Shift and Rademacher Function; 4.3.2 EDP and CSP; 4.3.3 Design of Sequences of p-Ar yRandom Variables 
505 8 |a 4.3.4 Correlational Properties of Sequences of Real-Valued Random Variables4.4 Applications to Communication Systems; 4.4.1 Stream cipher system; 4.4.2 Image Transmission Using SS Techniques; 4.4.3 Interference Properties; 4.5 Concluding Remarks; II: CHAOS AT SIGNAL LEVEL; 5 Overview of Digital Communications; 5.1 Introduction; 5.2 Basic structure of a digital communications system; 5.2.1 Minimum requirements for a channel model; 5.2.2 Performance measures; 5.2.3 Factors affecting the choice of modulation scheme; 5.3 Modulation and demodulation: the basis function approach 
505 8 |a 5.3.1 Orthonormal basis functions5.3.2 Signal set generation; 5.3.3 Recovery of the signal vector by correlation; 5.3.4 Orthonormal basis functions for bandwidth efficiency; 5.4 Detection of a single symbol in noise: basic receiver configurations; 5.4.1 Correlation and matched filter receivers; 5.4.2 Coherent and noncoherent receivers; 5.5 Example: BPSK modulation with coherent detection; 5.6 The role of synchronization in digital communications; 5.6.1 Carrier recovery and timing recovery; 5.6.2 Advantages and disadvantages of synchronization; 5.7 Summary; 6 Chaotic Modulation Schemes 
504 |a Includes bibliographical references and index. 
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