3-D MIMO-SAR mmWave Imaging

Version 2.0.0 (19,6 Mo) par Muhammet Emin YANIK

3-D MIMO-SAR Imaging Using Millimeter-Wave Sensors in Near-Field Applications

https://github.com/meminyanik/3D-MIMO-SAR_Imaging

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Mise à jour 15 fév. 2020

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In this repository, a three-dimensional (3-D) holographic MIMO-SAR imaging algorithm is implemented. Important signal processing functions such as near-field multistatic image reconstruction suitable for large MIMO apertures, multi-channel array calibration, and multistatic-to-monostatic conversion are presented in the context of 3-D MIMO-SAR imaging.

An example dataset can be downloaded from the link below:
https://utdallas.box.com/v/3D-MIMO-SAR-Example-Data-Set

Citation pour cette source

Yanik, Muhammet Emin, and Murat Torlak. “Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data.” IEEE Access, vol. 7, Institute of Electrical and Electronics Engineers (IEEE), 2019, pp. 31801–19, doi:10.1109/access.2019.2902859.

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Yanik, Muhammet Emin, et al. “3-D MIMO-SAR Imaging Using Multi-Chip Cascaded Millimeter-Wave Sensors.” 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), IEEE, 2019, doi:10.1109/globalsip45357.2019.8969133.

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Compatibilité avec les versions de MATLAB

Créé avec R2019b

Compatible avec toutes les versions

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Algorithms

highLevelProcessingFlow.m

Algorithms/auxiliaryCodes

Algorithms/calibration

calibrateDataFunction

Algorithms/imageReconstruction

reconstructSARimageFFT_3D

Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées

Version	Publié le	Notes de version
2.0.0	15 fév. 2020	Title has been updated.
1.0.0	15 fév. 2020

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.

MLA	Yanik, Muhammet Emin, and Murat Torlak. “Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data.” IEEE Access, vol. 7, Institute of Electrical and Electronics Engineers (IEEE), 2019, pp. 31801–19, doi:10.1109/access.2019.2902859.
APA	Yanik, M. E., & Torlak, M. (2019). Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data. IEEE Access, 7, 31801–31819. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from https://doi.org/10.1109%2Faccess.2019.2902859
BibTeX	@article{Yanik_2019, doi = {10.1109/access.2019.2902859}, url = {https://doi.org/10.1109%2Faccess.2019.2902859}, year = 2019, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {7}, pages = {31801--31819}, author = {Muhammet Emin Yanik and Murat Torlak}, title = {Near-Field {MIMO}-{SAR} Millimeter-Wave Imaging With Sparsely Sampled Aperture Data}, journal = {{IEEE} Access} }

MLA	Yanik, Muhammet Emin, et al. “3-D MIMO-SAR Imaging Using Multi-Chip Cascaded Millimeter-Wave Sensors.” 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), IEEE, 2019, doi:10.1109/globalsip45357.2019.8969133.
APA	Yanik, M. E., Wang, D., & Torlak, M. (2019). 3-D MIMO-SAR Imaging Using Multi-Chip Cascaded Millimeter-Wave Sensors. In 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE. Retrieved from https://doi.org/10.1109%2Fglobalsip45357.2019.8969133
BibTeX	@inproceedings{Yanik_2019, doi = {10.1109/globalsip45357.2019.8969133}, url = {https://doi.org/10.1109%2Fglobalsip45357.2019.8969133}, year = 2019, month = {nov}, publisher = {{IEEE}}, author = {Muhammet Emin Yanik and Dan Wang and Murat Torlak}, title = {3-D {MIMO}-{SAR} Imaging Using Multi-Chip Cascaded Millimeter-Wave Sensors}, booktitle = {2019 {IEEE} Global Conference on Signal and Information Processing ({GlobalSIP})} }