3-D MIMO-SAR mmWave Imaging

版本 2.0.0 (19.6 MB) 作者: 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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498.0 次下载

更新时间 2020/2/15

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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

引用格式

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.

查看更多格式

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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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

无法下载基于 GitHub 默认分支的版本

版本	已发布	发行说明
2.0.0	2020/2/15	Title has been updated.
1.0.0	2020/2/15

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。

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})} }