Wireless Communications: Signal Processing Perspectives (Prentice Hall Signal Processing Series)
A valuable reference both for signal processing specialists seeking to apply their expertise in the rapidly growing wireless communications field, and for communications specialists eager to exploit signal processing techniques.
Why Read This Book
You should read this book if you want a rigorous signal-processing view of wireless systems that links statistical estimation and detection theory to practical receiver algorithms. It sharpens your understanding of fading channels, channel estimation, diversity/combining, and multiuser signal processing so you can design more effective wireless receivers and analyze their performance.
Who Will Benefit
Graduate students and practicing signal-processing or communications engineers who need to apply estimation/detection and DSP techniques to wireless channels and multiuser systems.
Level: Advanced — Prerequisites: Undergraduate-level probability and random processes, linear algebra, basic digital communications (modulation, baseband signaling) and familiarity with Fourier/transforms and basic DSP concepts.
Key Takeaways
- Analyze and model common wireless fading channels and their statistical properties
- Apply estimation and detection theory to design channel estimators and optimal receivers in fading environments
- Design and evaluate diversity-combining and equalization strategies for time-varying channels
- Assess multiuser systems (e.g., CDMA) and apply multiuser detection and separation techniques
- Relate performance of practical DSP algorithms to information-theoretic limits for wireless links
Topics Covered
- Introduction: Signal-Processing Perspectives on Wireless Communications
- Basic Wireless Channel Models and Propagation Effects
- Statistical Characterization of Fading Channels
- Detection and Estimation in Wireless Links
- Diversity Techniques and Combining
- Equalization for Time-Varying Channels
- Channel Estimation and Tracking
- Multiple-Access Systems and Spread-Spectrum (CDMA) Basics
- Multiuser Detection and Interference Mitigation
- Performance Analysis and Statistical Tools
- Coding, Capacity Considerations, and Design Trade-offs
- Advanced Topics and Future Directions
Languages, Platforms & Tools
How It Compares
More signal-processing focused than Proakis' Digital Communications and more applied than the information-theory emphasis of Tse & Viswanath; it complements both by connecting estimation/detection tools to wireless receiver design.
