Advanced Radar Signal Processing: HAF-Based Polynomial Phase Estimation for Target Motion Analysis

🎯 Master cutting-edge Higher Order Ambiguity Function (HAF) techniques for radar signal processing

Join Dr. Nir Regev for an intensive 1.5-hour masterclass covering advanced polynomial phase estimation methods used in modern radar systems for precise target motion analysis.

📊 WHAT YOU'LL LEARN:
- Mathematical foundations of Higher Order Ambiguity Functions (HAF)
- Polynomial phase signal models for velocity and acceleration estimation
- Practical implementation with Python code examples
- Monte Carlo performance analysis and CRLB comparisons
- Optimal lag parameter selection using entropy-based methods
- Real-world radar applications achieving 99.9% estimation accuracy

🔧 TECHNICAL HIGHLIGHTS:
- Complete HAF algorithm implementation
- Gaussian interpolation for sub-bin frequency resolution
- De-chirping techniques for multi-parameter estimation
- Performance optimization strategies
- Noise robustness analysis

👨‍🎓 IDEAL FOR:
Radar engineers, signal processing professionals, defense contractors, aerospace engineers, and researchers working with motion detection systems.

📦 INCLUDED MATERIALS:
- Complete presentation slides
- Working Python code examples
- Comprehensive tutorial documentation
- Live Q&A session
- Follow-up email support

🎓 INSTRUCTOR: Dr. Nir Regev - Expert in advanced signal processing with extensive experience in radar system development and polynomial phase estimation techniques.

Investment: $97 | Duration: 1h 30m |