Frequency Estimation Toolbox
link: https://it.mathworks.com/matlabcentral/fileexchange/165131-frequency-estimation-toolbox
Description: In this toolbox, the SFEC, CSFEC, CSFDEC, DRAEC frequency estimation algorithms based on approximate ML are available.
Publications: [1] P. Di Viesti, A. Davoli, G. Guerzoni and G. M. Vitetta, “Novel Deterministic Detection and Estimation Algorithms for Colocated Multiple-Input Multiple-Output Radars,” in IEEE Access, vol. 10, pp. 2216-2255, 2022.
[2] Pasquale Di Viesti , Alessandro Davoli, Giorgio Guerzoni , et al. “Novel Methods for Approximate Maximum Likelihood Estimation of Multiple Superimposed Undamped Tones and Their Application to Radar systems”. TechRxiv. August 03, 2021.
[3] M. Mirabella, P. D. Viesti, A. Davoli and G. M. Vitetta, “An Approximate Maximum Likelihood Method for the Joint Estimation of Range and Doppler of Multiple Targets in OFDM-Based Radar Systems,” in IEEE Transactions on Communications, vol. 71, no. 8, pp. 4862-4876, Aug. 2023.
[4] M. Mirabella, P. Di Viesti and G. M. Vitetta, “Deterministic Algorithms for Four-Dimensional Imaging in Colocated MIMO OFDM-Based Radar Systems,” in IEEE Open Journal of the Communications Society, vol. 4, pp. 1516-1543, 2023.
Link: https://doi.org/10.6084/m9.figshare.28574234.v1
Description: this folder contains various datasets intended to be used for neural network training.
Publication: A. Davoli, G. Guerzoni and G. M. Vitetta, “Machine Learning and Deep Learning Techniques for Colocated MIMO Radars: A Tutorial Overview,” in IEEE Access, vol. 9, pp. 33704-33755, 2021, doi: 10.1109/ACCESS.2021.3061424.