Wideband Beamforming: Concepts and Techniques
This book provides an excellent reference for all professionals working in the area of array signal processing and its applications in wireless communications.
Wideband beamforming has advanced with the increasing bandwidth in wireless communications and the development of ultra wideband (UWB) technology.
In this book, the authors address the fundamentals and most recent developments in the field of wideband beamforming. The book provides a thorough coverage of the subject including major sub-areas such as sub-band adaptive beamforming, frequency invariant beamforming, blind wideband beamforming, beamforming without temporal processing, and beamforming for multi-path signals.
Key Features:
- Unique book focusing on wideband beamforming
- Discusses a hot topic coinciding with the increasing bandwidth in wireless communications and the development of UWB technology
- Addresses the general concept of beamforming including fixed beamformers and adaptive beamformers
- Covers advanced topics including sub-band adaptive beamforming, frequency invariant beamforming, blind wideband beamforming, beamforming without temporal processing, and beamforming for multi-path signals
- Includes various design examples and corresponding complexity analyses
This book provides a reference for engineers and researchers in wireless communications and signal processing fields. Postgraduate students studying signal processing will also find this book of interest.
Why Read This Book
You will get a focused, practical treatment of wideband array processing that connects theory to real algorithms and system-level issues — from sub-band and frequency-invariant designs to blind and multipath-aware methods. The book emphasizes techniques and implementation considerations that are directly applicable to wireless communications, radar, and UWB systems, so you can move from the mathematics to working beamformers more quickly.
Who Will Benefit
Engineers, researchers, and advanced graduate students working on array signal processing, wireless communications, radar, or UWB systems who need practical and theoretical guidance on wideband beamforming techniques.
Level: Advanced — Prerequisites: Undergraduate DSP and signals knowledge (Fourier transforms, sampling, FFT), linear algebra (vector/matrix operations, eigenanalysis), basics of array processing and adaptive filtering, and familiarity with probability/statistics for performance analysis.
Key Takeaways
- Design sub-band and frequency-domain wideband beamformers and understand trade-offs in filter-bank and STFT approaches.
- Develop frequency-invariant and true-time-delay beamforming solutions that preserve beam patterns across large bandwidths.
- Implement blind wideband beamforming and multi-path-capable algorithms for source separation in reverberant or multipath channels.
- Analyze performance using statistical signal processing tools and evaluate robustness to noise, model mismatch, and finite sample effects.
- Apply adaptive filtering and spectral techniques (FFT-based processing) to build practical real-time wideband beamforming systems.
Topics Covered
- 1. Introduction to Wideband Beamforming: Motivation and Applications
- 2. Signal and Array Models for Wideband Sources
- 3. Narrowband vs Wideband Beamforming: Fundamental Differences
- 4. Frequency-Domain and Sub-band Beamforming Techniques
- 5. True-Time-Delay and Frequency-Invariant Beamformers
- 6. Adaptive Wideband Beamforming and LMS/ RLS Extensions
- 7. Blind Wideband Beamforming and Source Separation
- 8. Beamforming without Temporal Processing and Spatial-Only Methods
- 9. Beamforming for Multipath and Reverberant Environments
- 10. Performance Analysis and Statistical Considerations
- 11. Implementation Issues: Sampling, FFTs, Filter Banks, and Complexity
- 12. Applications: Wireless Communications, UWB, and Radar Case Studies
- 13. Future Directions and Open Problems
Languages, Platforms & Tools
How It Compares
Compared with Van Trees' Optimum Array Processing and Johnson & Dudgeon's Array Signal Processing, this book narrows focus specifically on wideband methods and practical algorithms (sub-band, frequency-invariant, blind methods) rather than a broad, classical array processing survey.
