Detectg Classifying Low Probability 2e (Artech House Remote Sensing Library)
Low probability of intercept (LPI) radar is increasingly critical to covert surveillance, target tracking and stealth operations - as is the capability to detect it. Now, the world's most authoritative book on LPI emitter design and counter-LPI techniques explores the latest advances in the field in a new edition complete with ready-to-use MATLAB software simulations for every LPI modulation in the book. Supported by 360 task-clarifying illustrations, the book offers radar engineers expert guidance on the design of LPI emitter and intercept receivers and the development of digital signal processing techniques for detecting and classifying LPI modulations. This titleincludes a CD-ROM! It contains valuable MATLAB programs that help professionals design various LPI emitter architectures and waveform modulations to help them with their detection and classification work.
Why Read This Book
You will get a practical, hands-on guide to both designing LPI radar waveforms and building intercept receivers to detect them, backed by ready-to-run MATLAB simulations for every modulation covered. The book combines deep DSP theory (FFT, spectral analysis, time–frequency, wavelets, adaptive filtering) with concrete detection and classification techniques tuned to the realities of covert radar and contested RF environments.
Who Will Benefit
Experienced radar and signal-processing engineers, system designers, and graduate students who need to detect, characterize, or design low probability of intercept (LPI) radar waveforms and build DSP-based intercept receivers.
Level: Advanced — Prerequisites: Undergraduate-level signals and systems, probability and detection theory, basic digital signal processing (FFT, filtering), and familiarity with MATLAB (or Octave) — plus working knowledge of radar fundamentals.
Key Takeaways
- Design LPI radar waveforms (noise-like, spread-spectrum, chirp, frequency/phase-coded) optimized for low interceptability and mission constraints.
- Implement and simulate intercept receiver architectures and front-end signal conditioning in MATLAB to test detection chains.
- Detect weak LPI signals in noise and interference using spectral analysis, time–frequency distributions, and adaptive filtering techniques.
- Classify LPI modulation types using feature extraction, statistical detection, and pattern-recognition strategies applicable to real-world signals.
- Apply wavelet and short-time Fourier techniques for high-resolution analysis of nonstationary radar emissions and transient behaviors.
- Evaluate detection performance with rigorous statistical metrics (ROC, probability of detection, false alarm) and implement CFAR-like approaches.
Topics Covered
- 1. Introduction to Low Probability of Intercept (LPI) Radar: Concepts and Threat Models
- 2. LPI Waveform Taxonomy: Noise-like, Spread-Spectrum, Chirp, Phase/Frequency Coded, and Hybrid Modulations
- 3. Signal and System Models for LPI Emitters and Intercept Receivers
- 4. Detection Theory Applied to LPI Signals: Likelihoods, ROC, and CFAR Approaches
- 5. Spectral Analysis and FFT Methods for LPI Detection
- 6. Time–Frequency and Wavelet Methods for Nonstationary LPI Signals
- 7. Adaptive Filtering and Interference Mitigation Techniques
- 8. Feature Extraction and Classification Algorithms for Modulation Identification
- 9. Receiver Architectures and Practical DSP Implementations
- 10. MATLAB Simulations and Example Implementations (code for each modulation)
- 11. Case Studies, Performance Evaluation, and Operational Considerations
- Appendices: Signal Processing Primitives, Reference Tables, and Software Notes
Languages, Platforms & Tools
How It Compares
Compared with Skolnik's Radar Handbook or Richards' Principles of Modern Radar, Pace's book is unique in focusing specifically on LPI waveform design and counter-LPI DSP methods with ready-to-run MATLAB code rather than broad radar systems coverage.
