3-D MIMO-SAR mmWave Imaging
3-D MIMO-SAR Imaging Using Millimeter-Wave Sensors in Near-Field Applications
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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
Cite As
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.
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.
General Information
- Version 2.0.0 (19.6 MB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.0.0 | Title has been updated. |
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| 1.0.0 |
