Key Features#
Radar Modeling#
Radar Transceiver Modeling
Arbitrary waveform (CW, FMCW, PMCW, Pulse, …)
Phase noise
Phase/amplitude modulation (CDM, FDM, DDM, TDM, …)
Fast-time/slow-time modulation
Simulation#
Radar baseband data from point targets
Radar baseband data from 3D modeled objects/environment
Interference simulation
Target’s RCS simulation
LiDAR point cloud from 3D modeled objects/environment
Signal Processing#
Range/Doppler Processing
Direction of arrival (DoA) estimation
Multiple techniques for ULA DoA estimation:
MUltiple SIgnal Classification (MUSIC)
Root-MUSIC
Estimation of Signal Parameters via Rational Invariance Techniques (ESPRIT)
Iterative Adaptive Approach (IAA) for amplitude and phase estimation
Beamforming
Capon beamformer
Bartlett beamformer
CFAR Processing
1D/2D cell-averaging CFAR (CA-CFAR)
1D/2D ordered-statistic CFAR (OS-CFAR)
Characterization#
Radar detection characteristics based on Swerling’s models