RIS-Assisted High-Resolution Radar Sensing

This GitHub repository contains the code library used to create the results of the paper RIS-Assisted High-Resolution Radar Sensing submitted to IEEE Transactions on Signal Processing, June 2024.

Author: Martin Voigt Vejling

E-Mail: mvv@{math,es}.aau.dk

Modules

Beamforming.py Backend implementation of beamforming techniques: Bartlett, Capon, MUSIC.
CompressiveSensing.py Backend implementation of OMP.
SensingMetrics.py Implementation of the OSPA metric.
PositionEstimation_v2 Module to do weighted non-linear least squares.
DataAssociation.py Module to do data association.
system.py System and signal model.
MainEstimationCore.py Skeleton core for the estimation algorithm.
ChAnalysis.py Module to run analysis of the detection probability and Cramér-Rao lower bounds.
TheoreticalAnalysis.py Module supporting the theoretical analysis of coherence and detection probability.
MainEstimation.py Main module for the estimation algorithm. Runs the algorithm.

Configuration file

system_config.toml File to specify experiment configurations.

Simulation scripts

DetectionSimulationStudy.py Run simulation study to evaluate the detection probability.
FisherSimulationStudy.py Run simulation study to evaluate the Cramér-Rao lower bound.
MainSimulationStudy.py Run simulation study to sensing algorithm performance.

Recreating figures

Figure 2 & 4: TheoreticalCoherenceStudy.py
Figure 3: PlotWorkingPrinciple.py
Figure 5: TheoreticalTildeCStudy.py
Figure 6 & 7: TheoreticalDetectionStudy.py
Figure 8: results/FisherStudyPlot.py
Figure 9a & 9b: results/DetectionMultiStudyPlot.py
Figure 9c: results/MainStudyPlot.py

Software Setup

Dependencies

python 3
numpy
scipy
matplotlib
toml
multiprocessing
tqdm

Martin497/RIS-Assisted-High-Resolution-Radar-Sensing