3-D MIMO-SAR mmWave Imaging

Versione 2.0.0 (19,6 MB) da 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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Aggiornato 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

Cita come

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.

Visualizza più stili

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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Compatibilità della release di MATLAB

Creato con R2019b

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Categorie

Image Processing and Computer Vision > Image Processing Toolbox > Image Filtering and Enhancement > Morphological Operations >

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Algorithms

highLevelProcessingFlow.m

Algorithms/auxiliaryCodes

Algorithms/calibration

calibrateDataFunction

Algorithms/imageReconstruction

reconstructSARimageFFT_3D

Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione	Pubblicato	Note della release
2.0.0	15 feb 2020	Title has been updated.
1.0.0	15 feb 2020

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.

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})} }