3-D MIMO-SAR mmWave Imaging

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

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

Muhammet Emin YANIK

Versión 2.0.0 (19,6 MB)

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15 feb 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

Citar como

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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Versión 2.0.0 (19,6 MB)
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Versión	Publicado	Notas de la versión	Action
2.0.0	15 feb 2020	Title has been updated.
1.0.0	15 feb 2020

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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})} }