RF and Digital Signal Processing for Software-Defined Radio

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.. KEY TOPICS.Modulation techniquesMaster analog and digital modulation schemes.RF system-design parametersExamine noise and link budget analysis and Non-linear signal analysis and design methodology.Essentials of baseband and bandpass sampling and gain controlIF sampling architecture compared to traditional quadrature sampling, Nyquist zones, automatic gain control, and filtering.Nyquist sampling converter architecturesAnalysis and design of various Nyquist data converters.Oversampled data converter architecturesAnalysis and design of continuous-time and discrete-time Delta-Sigma converters.Multirate signal processing Gain knowledge of interpolation, decimation, and fractional data rate conversion - Offers readers a powerful set of analytical and design tools - Details real world designs - Comprehensive coverage makes this a must have in the RF/Wireless industry

Tony J. Rouphael is Director of Systems, Modeling, and Simulation for GPS and resilient navigation at Raytheon Technologies and an Adjunct Professor of Electrical Engineering at the University of San Diego. He has over two decades of experience in RF systems, digital communications, and software-defined radio design, with leadership roles across industry and defense sectors. His work focuses on advanced modem architectures, GPS/GNSS systems, and the integration of machine learning for signal classification and jamming mitigation, with an emphasis on ASIC implementation. Dr. Rouphael is the author of multiple books and technical publications and holds 67 U.S. patents.

Chapter 1: IntroductionChapter 2: Common Analog Modulation and Pulse Shaping MethodsChapter 3: Common Digital Modulation MethodsChapter 4: High-Level Requirements and Link Budget AnalysisChapter 5: Memoryless Non-Linearity and DistortionChapter 6: Transceiver System Analysis and Design ParametersChapter 7: Uniform Sampling of Signals and Automatic Gain ControlChapter 8: Nyquist-Rate Data ConversionChapter 9: ÄÓ Modulators for Data ConversionChapter 10: Multirate Digital Signal Processing