Waveform Diversity: Theory & Applications: Theory & Application
Cutting-edge transmitter and receiver waveform design techniques
Optimum design can improve signal direction, interference, and noise suppression across various disciplines that utilize waveforms, including radar, sonar, and communications. Waveform Diversity explains the role of transmitter and receiver waveform design to boost overall performance. Written by experts in the field, this monograph covers joint transmitter receiver design, optimum design methods, constant envelope transmit signals, and sparsity-based receivers. Proven methods for mitigating noise and clutter and maximizing output signal power are included in this practical guide.
Waveform Diversity covers:
- Waveform design and matched filtering
- New methods for optimum transmitter and receiver design
- Transmitter threshold energy and energy-bandwidth tradeoff
- Increasing transmit power efficiency with constant envelope transmit signals
- Optimum waveform design to reduce noise and clutter
- Discrete-time waveform design
- Sparsity-based receiver design methods
Why Read This Book
You should read Waveform Diversity if you design or analyze active sensing and communications systems and need practical, theory-grounded methods to squeeze more performance from transmit and receive chains. You will learn how transmitter/receiver waveform design, matched filtering, and sparsity-aware receivers can improve detection, interference rejection, and power efficiency across radar, sonar, and communications applications.
Who Will Benefit
Engineers and researchers (intermediate-to-advanced) working in radar/sonar/communications or DSP who need to design or optimize waveforms and receivers for detection, clutter/interference suppression, and spectral efficiency.
Level: Advanced — Prerequisites: Undergraduate signals and systems, linear algebra, Fourier analysis, basic probability and estimation theory, and familiarity with digital signal processing concepts (filters, FFT). Some exposure to optimization (convex/nonconvex) and numerical tools is helpful.
Key Takeaways
- Design transmitter waveforms to maximize target detection and directivity subject to power, spectral, and constant-envelope constraints.
- Formulate and solve joint transmitter–receiver optimization problems to improve end-to-end performance in noise and interference.
- Apply matched filtering, ambiguity-function analysis, and spectral techniques to evaluate waveform performance and resolution tradeoffs.
- Implement constant-envelope and phase-coded waveform strategies for power-efficient transmitters and practical RF hardware.
- Deploy sparsity-based and compressed-sensing receiver algorithms to enable sparse target recovery and robust interference suppression.
- Use adaptive filtering and statistical signal-processing methods to mitigate clutter, correlated interference, and nonstationary noise.
Topics Covered
- 1. Introduction: Role of Waveform Design in Active Sensing and Communications
- 2. Signal and System Models for Transmit–Receive Chains
- 3. Matched Filtering, Ambiguity Functions, and Performance Metrics
- 4. Spectral Analysis, FFTs, and Time–Frequency Considerations
- 5. Optimal Waveform Design: Formulations and Solution Methods
- 6. Constant-Envelope and Phase-Coded Waveforms
- 7. Joint Transmitter–Receiver Design and Tradeoffs
- 8. Sparsity, Compressed Sensing, and Sparse Receiver Architectures
- 9. Adaptive Filtering and Clutter/Interference Mitigation
- 10. Statistical Signal Processing: Estimation, Detection, and MSE Analysis
- 11. Practical Implementation Issues and Hardware Constraints
- 12. Applications: Radar, Sonar, and Communications Case Studies
- 13. Appendices: Mathematical Tools, Algorithms, and Numerical Examples
Languages, Platforms & Tools
How It Compares
Compared to Richards' Fundamentals of Radar Signal Processing, Pillai's monograph focuses more narrowly on transmitter/receiver waveform design and joint optimization; compared to general adaptive-filter texts (e.g., Haykin), it applies adaptive and sparsity methods specifically to waveform and receiver design in sensing systems.
