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E-grāmata: Signal Digitization and Reconstruction in Digital Radios

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  • Formāts: 340 pages
  • Izdošanas datums: 31-Jan-2018
  • Izdevniecība: Artech House Publishers
  • ISBN-13: 9781630814014
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Signal Digitization and Reconstruction in Digital RadiosPalielināt
  • Formāts: 340 pages
  • Izdošanas datums: 31-Jan-2018
  • Izdevniecība: Artech House Publishers
  • ISBN-13: 9781630814014
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Yefim Poberezhskiy, a consultant for analog, digital, and mixed-signal processing, digital radios, modems, and communication systems, and Gennady Poberezhskiy, an engineer, explain signal digitization and reconstruction in digital radios, digitization and reconstruction techniques, and other signal processing operations performed in these radios and their relationship to digitization and reconstruction. They focus on new concepts and approaches that improve digitization and reconstruction circuit characteristics. They address signals and waveforms, various radio systems, and digital transmitters and receivers, then original concepts and innovative approaches in digitization and reconstruction, in relation to sampling theory, realization of sampling and interpolation in digital radios, and improving resolution and quantization. Annotation ©2019 Ringgold, Inc., Portland, OR (protoview.com)
Preface xiii
Chapter 1 Signals and Waveforms
1(42)
1.1 Overview
1(1)
1.2 Signals and Their Processing
2(14)
1.2.1 Analog, Discrete-Time, and Digital Signals
2(3)
1.2.2 Deterministic and Stochastic Signals
5(8)
1.2.3 Basic Operations on Signals
13(3)
1.3 Expansions of Signals
16(13)
1.3.1 Orthogonal Expansions
16(2)
1.3.2 Trigonometric and Exponential Fourier Series
18(3)
1.3.3 Fourier Transform and Its Properties
21(4)
1.3.4 Spectral Distribution of Signal Energy and Power
25(3)
1.3.5 Transmission of Signals Through LTI Systems
28(1)
1.4 Baseband and Bandpass Signals
29(10)
1.4.1 Baseband Signals and Modulation
29(2)
1.4.2 Bandpass Signals and Their Complex-Valued Equivalents
31(4)
1.4.3 Bandwidths of Signals and Circuits
35(4)
1.5 Summary
39(1)
References
40(3)
Chapter 2 Radio Systems
43(32)
2.1 Overview
43(1)
2.2 Radio Systems and Radio Spectrum
44(4)
2.2.1 Diversity of Radio Systems
44(1)
2.2.2 RF Spectrum and Its Utilization
45(3)
2.3 Radio Communication Systems
48(11)
2.3.1 General
48(3)
2.3.2 Communication Txs and Rxs
51(4)
2.3.3 Channel Coding, Modulation, and Spreading
55(4)
2.4 Other Radio Systems
59(11)
2.4.1 Broadcasting Systems
59(2)
2.4.2 Radio Navigation and Positioning Systems
61(4)
2.4.3 Radio Methods in Positioning and Geolocation
65(3)
2.4.4 Radar and EW Systems
68(2)
2.5 Summary
70(2)
References
72(3)
Chapter 3 Digital Transmitters
75(38)
3.1 Overview
75(1)
3.2 Digital Tx Basics
76(10)
3.2.1 Txs of Different Categories of Digital Radios
76(1)
3.2.2 Architecture of a Digital Tx
77(3)
3.2.3 Direct Digital Synthesis
80(6)
3.3 D&R in a Digital Tx
86(14)
3.3.1 Digitization of TDP Input Signals
86(3)
3.3.2 Reconstruction of TDP Output Signals
89(7)
3.3.3 Comparison of Reconstruction Techniques and Conversion Block Architectures
96(4)
3.4 Power Utilization Improvement in Txs
100(8)
3.4.1 Power Utilization in Txs with Energy-Efficient Modulation
100(2)
3.4.2 AQ-DBPSK Modulation
102(5)
3.4.3 Power Utilization in Txs with Bandwidth-Efficient Modulation
107(1)
3.5 Summary
108(1)
References
109(4)
Chapter 4 Digital Receivers
113(50)
4.1 Overview
113(1)
4.2 Digital Rx Basics
114(12)
4.2.1 First Steps of Digital Radio Development
114(3)
4.2.2 Main Characteristics of Rxs
117(5)
4.2.3 Digital Rxs and Txs
122(4)
4.3 Dynamic Range of a Digital Rx
126(14)
4.3.1 Factors Limiting Rx Dynamic Range
126(2)
4.3.2 Intermodulation
128(8)
4.3.3 Required Dynamic Range of an HF Rx
136(4)
4.4 Digitization in a Digital Rx
140(8)
4.4.1 Baseband Digitization
140(2)
4.4.2 Bandpass Digitization
142(3)
4.4.3 Comparison of Digitization Techniques and Architectures of AMFs
145(3)
4.5 Demodulation of Energy-Efficient Signals
148(9)
4.5.1 Demodulation of Differential Quadrature Phase-Shift Keying Signals with DS Spreading
148(3)
4.5.2 Demodulation of AQ-DBPSK Signals
151(6)
4.6 Summary
157(2)
References
159(4)
Chapter 5 Sampling Theory Fundamentals
163(36)
5.1 Overview
163(1)
5.2 S&I from a Historical Perspective
164(5)
5.2.1 Need for S&I at the Dawn of Electrical Communications
164(1)
5.2.2 Discovery of Classical Sampling Theorem
165(2)
5.2.3 Sampling Theory After Shannon
167(2)
5.3 Uniform Sampling Theorem for Baseband Signals
169(18)
5.3.1 Sampling Theorem and Its Constructive Nature
169(8)
5.3.2 Interpretations of Sampling Theorem
177(7)
5.3.3 Baseband S&I Corresponding to Indirect Interpretation
184(3)
5.4 Uniform Sampling Theorem for Bandpass Signals
187(7)
5.4.1 Baseband S&I of Bandpass Signals
187(2)
5.4.2 Bandpass S&I of Bandpass Signals
189(4)
5.4.3 Comparison of Baseband and Bandpass S&I of Bandpass Signals
193(1)
5.5 Summary
194(1)
References
195(4)
Chapter 6 Realization of S&I in Digital Radios
199(50)
6.1 Overview
199(1)
6.2 S&I Based on the Sampling Theorem's Indirect Interpretation
200(7)
6.2.1 Sampling Based on the Indirect Interpretation
200(5)
6.2.2 Interpolation Based on the Indirect Interpretation
205(2)
6.3 S&I Based on the Sampling Theorem's Hybrid Interpretation
207(8)
6.3.1 Sampling Based on the Hybrid Interpretation
207(5)
6.3.2 Interpolation Based on the Hybrid Interpretation
212(3)
6.4 S&I Based on the Sampling Theorem's Direct Interpretation
215(7)
6.4.1 Sampling Based on the Direct Interpretation
215(4)
6.4.2 Interpolation Based on the Direct Interpretation
219(3)
6.5 Channel Mismatch Mitigation
222(4)
6.5.1 Approaches to the Problem
222(1)
6.5.2 Separation of Signal and Error Spectra
222(2)
6.5.3 Channel Mismatch Compensation
224(2)
6.6 Selection and Implementation of Weight Functions
226(8)
6.6.1 Theoretical Basis
226(3)
6.6.2 B-Spline-Based Weight Functions
229(4)
6.6.3 Additional Remarks on Weight Function Implementation
233(1)
6.7 Need for Hybrid and Direct Interpretations
234(10)
6.7.1 Evaluation of Hybrid and Direct Interpretations' Advantages
234(2)
6.7.2 Two-Stage Spatial Suppression of ISs
236(2)
6.7.3 Virtual-Antenna-Motion-Based Spatial Suppression of ISs
238(6)
6.8 Summary
244(2)
References
246(3)
Chapter 7 Improving Resolution of Quantization
249(30)
7.1 Overview
249(1)
7.2 Conventional Quantization
249(7)
7.2.1 Quantization of Rx Input Signals
249(5)
7.2.2 Quantization of Tx Input Signals
254(2)
7.3 Joint Quantization of Samples
256(8)
7.3.1 Principles of Joint Quantization
256(6)
7.3.2 Design Considerations
262(2)
7.4 Compressive Quantization of Images
264(11)
7.4.1 Basic Principles
264(3)
7.4.2 Design Considerations
267(3)
7.4.3 Assessment of Benefits
270(5)
7.5 Summary
275(1)
References
276(3)
APPENDIX A Functions Used in the Book
279(8)
A.1 Rectangular and Related Functions
279(2)
A.2 Delta Function
281(4)
A.3 B-Splines
285(2)
APPENDIX B Sampling Rate Conversion in Digital Radios
287(8)
B.1 Downsampling by an Integer Factor
287(1)
B.2 Upsampling by an Integer Factor
287(1)
B.3 Sampling Rate Conversion by a Noninteger Factor
288(2)
B.4 Optimization of Sampling Rate Conversion
290(3)
B.5 Generalization
293(2)
APPENDIX C On the Use of Central Limit Theorem
295(4)
C.1 Paradox Statement
295(1)
C.2 Paradox Resolution
296(1)
C.3 Discussion
297(2)
APPENDIX D Sampling Theorem for Bandlimited Signals
299(6)
D.1 Sampling Theorem for Baseband Signals
299(1)
D.1.1 Theorem
299(1)
D.1.2 Proof
300(1)
D.1.3 Discussion
300(1)
D.2 Sampling Theorem for Bandpass Signals
300(5)
D.2.1 Sampling of Bandpass Signals Represented by I(t) and Q(t)
301(1)
D.2.2 Sampling of Bandpass Signals Represented by U(t) and 6(t)
302(1)
D.2.3 Sampling of Bandpass Signals' Instantaneous Values
303(2)
List of Acronyms 305(6)
About the Authors 311(2)
Index 313
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