RF and Digital Signal Processing for Software-Defined Radio

Tony J Rouphael

ISBN 10: 0750682108 / ISBN 13: 9780750682107

Published by Elsevier Science Nov 2008, 2008

About this Item

Neuware -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 400 pp. Englisch.

Seller Inventory # 9780750682107

Bibliographic Details

• Title: RF and Digital Signal Processing for Software-Defined Radio
• Publisher: Elsevier Science Nov 2008
• Publication Date: 2008
• Language: English
• ISBN 10: 0750682108
• ISBN 13: 9780750682107
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 191H x 33D millimeters 229 millimeters width by 191 millimeters height by 33 millimeters depth
• Weight: 839 grams

About this title

Synopsis

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 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

• 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

About the Author

Tony J. Rouphael has worked on all aspects of wireless communications ranging from antenna and RF to digital signal processing. At Philips, Siemens, Northrop Grumman, RF Micro Devices, and others, he has developed products in TDMA IS-136, CDMA2000, GSM, WCDMA, UWB, 802.11, and software defined radio for JTRS applications. He holds 48 US patents, published over 20 journal articles in signal processing and communications, and published a book entitled RF and Signal Processing for Software Defined Radio with Elsevier-Newnes.