Radar Processingadmin2021-05-04T17:09:14+00:00
Radar Processing
Over-The-Horizon Radar signal processing
- Clutter Mitigation, CFAR detection
- MATLAB Parallel Toolbox implementation and speed-up
Bistatic Radar array signal processing
- Pulse compression, Beamforming, Bistatic STAP with Joint Domain Localization, CFAR detection
- MATLAB implementation. Target + clutter test data generation and performance test
- Architected data distribution / processor loading for minimum latency
- Distributed/parallel software implementation on multi-core Intel array processing platform with AVX2/IPP
- Programmed in Gedae IDEA language. Successful embedded demonstration at customer facility
MIMO Radar clutter modeling software development
Pulse Doppler radar signal processing system
- MATLAB, ‘C’ language, and CUDA implementations
- Benchmark timing showed 15x speedup
Ground Penetrating Radar signal processing
implementation
- Converted signal processing routine from MATLAB to C language. Runtime optimizations
- 66AK2H12 multi-core implementation: architecture, resource allocation, data transfer
CW /FMCW vital signs measurement system
- Detailed radar and hardware analysis (waveform, power, antenna structure, circuit design) for solving issues
- Algorithm development for vital signs detection and estimation
- Machine learning for detection of signal presence/absence
Time-of-arrival and Doppler tracking for coherent laser radar system. Time-of-arrival estimation & tracking for non-coherent pulsed laser radar system.
- Interference cancellation in heavy clutter environment
- Penalty function tracker implementation, optimization
- FPGA design spec and debug
- Successful flight tests for tracking through extreme clutter environment
FM CW high resolution industrial measurement system
- System concept analysis / prototype definition
FM CW radar for low observable targets
- Signal in space simulation
- Computational estimation, component specification
- “Range-Dependence Compensation for Bistatic STAP using Focusing Matrices,” presented at IEEE Int. Conf. on Radar 2015