Fundamentals of Radar Signal Processing (3-0-3)

Fundamentals of radar systems  (2 hours)
   - propagating EM waves in space and time
   - Doppler shift
   - Range equation
   - system structure

Signal Models  (4 hours)
   - Radar cross section of targets and clutter
   - multipath
   - statistical signal models, Swerling models
   - advanced (compound) statistical signal models for clutter
   - convolutional models in range and angle
   - frequency domain models

Waveforms  (9 hours)
   - The ambiguity function
   - Basic waveforms: simple pulse, LFM, coherent pulse train
   - Coded waveforms: frequency, phase (biphase, Costas), MCW, step-freq
   - Optimum waveforms for time delay, velocity, acceleration measurements
   - Measurement accuracy, Cramer-Rao bounds

Sampling and quantization  (3 hours)
   - Sampling complex bandpass signals
   - Sampling rates in range, angle, Doppler, space
   - I/Q imbalance and correction techniques
   - Digital I/Q

Doppler processing  (6 hours)
   - Matched filter (vector formulation)
   - MTI as approximation to matched filter for unknown target velocity
   - DFT/pulse Doppler approx to matched filter for known target velocity
   - Improvement factor
   - DPCA for airborne MTI

Optimal Detection  (9 hours)
   - Neyman-Pearson detection and the likelihood ratio
   - threshold detection, targets in Gaussian noise
   - coherent and noncoherent integration; binary integration
   - Optimal detectors for non-Gaussian interference
   - CFAR

Synthetic Aperture Radar  (9 hours)
   - The SAR principle from aperture, Doppler, chirp viewpoints
   - SAR overview: system issues, range migration, processor structure
   - SAR modes: strip map, spotlight, Doppler beam sharpening, Inverse SAR
   - Spotlight SAR and polar format data collection
   - Polar format processing
   - Range migration and chirp scaling algorithms for spotlight SAR        
   - Autofocus: correlation, phase gradient algorithms
   - Interferometric 3D SAR

TOTAL: 42 hours