Signal Digitization and Reconstruction in Diginal Radios / Yefim Poberezhskiy and Gennady Poberezhskiy.

Format:

Book

Author/Creator:

Poberezhskiy, Yehim S., author.

Poberezhskiy, Gennedy Y., author.

Series:

Artech House signal processing library.

Artech House signal processing library

Language:

English

Subjects (All):

Signal processing--Digital techniques.

Signal processing.

Radio--Receivers and reception.

Radio.

Physical Description:

1 PDF.

Edition:

First edition.

Place of Publication:

Norwood, MA : Artech House, [2019]

Summary:

This comprehensive resource provides the latest information on digitization and reconstruction (D&R) of analog signals in digital radios. Readers learn how to conduct comprehensive analysis, concisely describe the major signal processing procedures carried out in the radios, and demonstrate the dependence of these procedures on the quality of D&R. The book presents and analyzes the most promising and theoretically sound ways to improve the characteristics of D&R circuits and illustrate the influence of these improvements on the capabilities of digital radios.The book is intended to bridge the gap that exists between theorists and practical engineers developing D&R techniques by introducing new signal transmission and reception methods that can effectively utilize the unique capabilities offered by novel digitization and reconstruction techniques.

Contents:

Intro

Signal Digitization and Reconstruction in Digital Radios

Contents

Preface

Chapter 1 Signals and Waveforms

1.1 Overview

1.2 Signals and Their Processing

1.2.1 Analog, Discrete-Time, and Digital Signals

1.2.2 Deterministic and Stochastic Signals

1.2.3 Basic Operations on Signals

1.3 Expansions of Signals

1.3.1 Orthogonal Expansions

1.3.2 Trigonometric and Exponential Fourier Series

1.3.3 Fourier Transform and Its Properties

1.3.4 Spectral Distribution of Signal Energy and Power

1.3.5 Transmission of Signals Through LTI Systems

1.4 Baseband and Bandpass Signals

1.4.1 Baseband Signals and Modulation

1.4.2 Bandpass Signals and Their Complex-Valued Equivalents

1.4.3 Bandwidths of Signals and Circuits

1.5 Summary

References

Chapter 2 Radio Systems

2.1 Overview

2.2 Radio Systems and Radio Spectrum

2.2.1 Diversity of Radio Systems

2.2.2 RF Spectrum and Its Utilization

2.3 Radio Communication Systems

2.3.1 General

2.3.2 Communication Tx and Rx

2.3.3 Channel Coding, Modulation, and Spreading

2.4 Other Radio Systems

2.4.1 Broadcasting Systems

2.4.2 Radio Navigation and Positioning Systems

2.4.3 Radio Methods in Positioning and Geolocation

2.4.4 Radar and EW Systems

2.5 Summary

Chapter 3 Digital Transmitters

3.1 Overview

3.2 Digital Tx Basics

3.2.1 Tx of Different Categories of Digital Radios

3.2.2 Architecture of a Digital Tx

3.2.3 Direct Digital Synthesis

3.3 D&amp

R in a Digital Tx

3.3.1 Digitization of TDP Input Signals

3.3.2 Reconstruction of TDP Output Signals

3.3.3 Comparison of Reconstruction Techniques and Conversion Block Architectures

3.4 Power Utilization Improvement in Tx

3.4.1 Power Utilization in Tx with Energy-Efficient Modulation

3.4.2 AQ-DBPSK Modulation.

3.4.3 Power Utilization in Tx with Bandwidth-Efficient Modulation

3.5 Summary

Chapter 4 Digital Receivers

4.1 Overview

4.2 Digital Rx Basics

4.2.1 First Steps of Digital Radio Development

4.2.2 Main Characteristics of Rx

4.2.3 Digital Rx and Transceivers

4.3 Dynamic Range of a Digital Rx

4.3.1 Factors Limiting Rx Dynamic Range

4.3.2 Intermodulation

4.3.3 Required Dynamic Range of an HF Rx

4.4 Digitization in a Digital Rx

4.4.1 Baseband Digitization

4.4.2 Bandpass Digitization

4.4.3 Comparison of Digitization Techniques and Architectures of AMFs

4.5 Demodulation of Energy-Efficient Signals

4.5.1 Demodulation of Differential Quadrature Phase-Shift Keying (DBPSK) Signals with DS Spreading

4.5.2 Demodulation of AQ-DBPSK Signals

4.6 Summary

Chapter 5 Sampling Theory Fundamentals

5.1 Overview

5.2 S&amp

I from a Historical Perspective

5.2.1 Need for S&amp

I at the Dawn of Electrical Communications

5.2.2 Discovery of Classical Sampling Theorem

5.2.3 Sampling Theory After Shannon

5.3 Uniform Sampling Theorem for Baseband Signals

5.3.1 Sampling Theorem and Its Constructive Nature

5.3.2 Interpretations of Sampling Theorem

5.3.3 Baseband S&amp

I Corresponding to Indirect Interpretation

5.4 Uniform Sampling Theorem for Bandpass Signals

5.4.1 Baseband S&amp

I of Bandpass Signals

5.4.2 Bandpass S&amp

5.4.3 Comparison of Baseband and Bandpass S&amp

5.5 Summary

Realization of S&amp

I in Digital Radios

6.1 Overview

6.2 S&amp

I Based on the Sampling Theorem's Indirect Interpretation

6.2.1 Sampling Based on the Indirect Interpretation

6.2.2 Interpolation Based on the Indirect Interpretation

6.3 S&amp.

I Based on the Sampling Theorem's Hybrid Interpretation

6.3.1 Sampling Based on the Hybrid Interpretation

6.3.2 Interpolation Based on the Hybrid Interpretation

6.4 S&amp

I Based on the Sampling Theorem's Direct Interpretation

6.4.1 Sampling Based on the Direct Interpretation

6.4.2 Interpolation Based on the Direct Interpretation

6.5 Channel Mismatch Mitigation

6.5.1 Approaches to the Problem

6.5.2 Separation of Signal and Error Spectra

6.5.3 Channel Mismatch Compensation

6.6 Selection and Implementation of Weight Functions

6.6.1 Theoretical Basis

6.6.2 B-Spline-Based Weight Functions

6.6.3 Additional Remarks on Weight Function Implementation

6.7 Need for Hybrid and Direct Interpretations

6.7.1 Evaluation of Hybrid and Direct Interpretations' Advantages

6.7.2 Two-Stage Spatial Suppression of ISs

6.7.3 Virtual-Antenna-Motion-Based Spatial Suppression of ISs

6.8 Summary

Chapter 7 Improving Resolution of Quantization

7.1 Overview

7.2 Conventional Quantization

7.2.1 Quantization of Rx Input Signals

7.2.2 Quantization of Tx Input Signals

7.3 Joint Quantization of Samples

7.3.1 Principles of Joint Quantization

7.3.2 Design Considerations

7.4 Compressive Quantization of Images

7.4.1 Basic Principles

7.4.2 Design Considerations

7.4.3 Assessment of Benefits

7.5 Summary

Appendix A Functions Often Used in the Book

A.1 Rectangular and Related Functions

A.2 Delta Function

A.3 B-Splines

Appendix B Sampling Rate Conversion in Digital Radios

B.1 Downsampling by an Integer Factor

B.2 Upsamling by an Integer Factor

B.3 Sampling Rate Conversion by a Noninteger Factor

B.4 Optimization of Sampling Rate Conversion

B.5 Generalization

Appendix C On the Use of Central Limit Theorem

C.1 Paradox Statement.

C.2 Paradox Resolution

C.3 Discussion

Appendix D Sampling Theorem for Bandlimited Signals

D.1 Sampling Theorem for Baseband Signals

D.1.1 Theorem

D.1.2 Proof

D.1.3 Discussion

D.2 Sampling Theorem for Bandpass Signals

D.2.1 Sampling of Bandpass Signals Represented by I(t) and Q(t)

D.2.2 Sampling of Bandpass Signals Represented by U(t) and θ(t)

D.2.3 Sampling of Bandpass Signals' Instantaneous Values

List of Acronyms

About the Authors

Index

Recent Titles in the Artech House Signal Processing Library.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-63081-401-6