TY - BOOK AU - Poberezhskiy,Yefim AU - Poberezhskiy,Gennady TI - Signal Digitization and Reconstruction in Diginal Radios SN - 9781630814014 AV - TK5102.9 .P634 2019 U1 - 621.3822 PY - 2018/// CY - Norwood PB - Artech House KW - Signal processing-Digital techniques KW - Radio-Receivers and reception KW - Electronic books N1 - 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 -- References -- 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& -- 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 -- References -- 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 -- References -- Chapter 5 Sampling Theory Fundamentals -- 5.1 Overview -- 5.2 S& -- I from a Historical Perspective -- 5.2.1 Need for S& -- 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& -- I Corresponding to Indirect Interpretation -- 5.4 Uniform Sampling Theorem for Bandpass Signals -- 5.4.1 Baseband S& -- I of Bandpass Signals -- 5.4.2 Bandpass S& -- I of Bandpass Signals -- 5.4.3 Comparison of Baseband and Bandpass S& -- I of Bandpass Signals -- 5.5 Summary -- References -- Realization of S& -- I in Digital Radios -- 6.1 Overview -- 6.2 S& -- 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& 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& -- 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 -- References -- 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 -- References -- 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 UR - https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=31150809 ER -