RF and Digital Signal Processing for Software-Defined Radio

A Multi-Standard Multi-Mode Approach


  • Tony Rouphael, Chief systems Engineer, L-3 Linkabit, USA

Understand the RF and Digital Signal Processing Principles Driving Software-defined Radios!

Software-defined radio (SDR) technology is a configurable, low cost, and power efficient solution for multimode and multistandard wireless designs. This book describes software-defined radio concepts and design principles from the perspective of RF and digital signal processing as performed within this system. After an introductory overview of essential SDR concepts, this book examines signal modulation techniques, RF and digital system analysis and requirements, Nyquist and oversampled data conversion techniques, and multirate digital signal processing..


•Modulation techniques
Master analog and digital modulation schemes
•RF system-design parameters
Examine noise and link budget analysis and Non-linear signal analysis and design methodology
•Essentials of baseband and bandpass sampling and gain control
IF sampling architecture compared to traditional quadrature sampling, Nyquist zones, automatic gain control, and filtering
•Nyquist sampling converter architectures
Analysis and design of various Nyquist data converters
•Oversampled data converter architectures
Analysis and design of continuous-time and discrete-time Delta-Sigma converters
•Multirate signal processing
Gain knowledge of interpolation, decimation, and fractional data rate conversion
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Communications, RF, and DSP Engineers


Book information

  • Published: November 2008
  • Imprint: NEWNES
  • ISBN: 978-0-7506-8210-7

Table of Contents

Chapter 1: Introduction1.1 The Need for Software Defined Radio1.2 The Software Defined Radio Concept1.3 Software Requirements and Reconfigurability1.4 Aim and Organization of the BookReferencesChapter 2: Common Analog Modulation and Pulse Shaping Methods2.1 Amplitude Modulation2.2 Frequency and Phase Modulation2.3 Common Pulse Shaping FunctionsReferencesChapter 3: Common Digital Modulation Methods3.1 Channel Capacity Interpreted3.2 PSK Modulation3.3 FSK Modulation3.4. Continuous Phase Modulation (CPM)3.5. Gaussian MSK (GMSK)3.6. On-Off Keying (OOK)3.7. Quadrature Amplitude Modulation (QAM)3.8. Orthogonal Frequency Division Multiplexing (OFDM)3.9. Spread Spectrum Modulation3.10. AppendicesReferencesChapter 4: High-Level Requirements and Link Budget Analysis4.1 High Level Requirements4.2 Link Budget Analysis4.3 Cascaded Noise Figure AnalysisReferencesChapter 5: Memoryless Non-Linearity and Distortion5.1. 1-dB Compression Point Due to Memoryless Non-Linearities5.2. Signal Desensitization and Blocking5.3. Intermodulation Distortion5.4. Cascaded Input-Referred Intercept Points5.5. Cross Modulation Distortion5.6. Harmonics5.7. Phase Noise and Reciprocal Mixing5.8. Spurious Signals5.9. AppendicesReferencesChapter 6: Transceiver System Analysis and Design Parameters6.1. Receiver Selectivity6.2. Receiver Dynamic Range6.3 AM/AM and AM/PM6.5. Modulation Accuracy: EVM and Waveform Quality Factor6.6. Adjacent Channel Leakage Ratio (ACLR)6.7. Transmitter Broadband NoiseReferencesChapter 7: Uniform Sampling of Signals and Automatic Gain Control7.1. Sampling of Lowpass Signals7.2. Sampling of Bandpass Signals7.3. The AGC Algorithm7.4. Appendix: Derivation of Analog Reconstruction Formula for Half Integer PositioningChapter 8: Nyquist-Rate Data Conversion8.1 Nyquist Converters8.2 Overview of Nyquist Sampling Converter Architectures8.3 Appendix: Gray CodesReferencesChapter 9: Ă„Ă“ Modulators for Data Conversion9.1. The Concept of Ă„Ă“ Modulation9.2. Comparison between Continuous-Time and Discrete-Time Ă„Ă“-Modulation9.3. SQNR Performance of Ă„Ă“-Modulators9.4 Bandpass Ă„Ă“-Modulators9.5 Common Architectures Ă„Ă“-Modulators9.6 Further Non-Idealities in Ă„Ă“-ModulatorsReferencesChapter 10: Multirate Digital Signal Processing10.1. Basics of Sample Rate Conversion10.2. Filter Design and Implementation10.3. Arbitrary Sampling Rate ConversionReferences