3-D MIMO-SAR mmWave Imaging

버전 2.0.0 (19.6 MB) 작성자: Muhammet Emin YANIK

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

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

팔로우

5.0

(5)

다운로드 수: 617

업데이트 날짜: 2020/2/15

GitHub에서 라이선스 보기

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

인용 양식

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.

양식 더 보기

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.

양식 더 보기

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개발 환경: R2019b

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Algorithms

highLevelProcessingFlow.m

Algorithms/auxiliaryCodes

Algorithms/calibration

calibrateDataFunction

Algorithms/imageReconstruction

reconstructSARimageFFT_3D

GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음

버전	게시됨	릴리스 정보
2.0.0	2020/2/15	Title has been updated.
1.0.0	2020/2/15

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.

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})} }