Code to accompany our paper "Efficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries" (arXiv, DOI).
- This code provides several examples for simulating multi-planar multistatic scenarios and recovering the image using the proposed algorithm (EMPM: Efficient Multis-Planar Multistatic) or conventional backprojection algorithm (BPA).
- This project relies on the Terhertz Imaging Toolbox with Interactive User Interface for simulation. The THz toolbox must be installed for any of this code to work.
- The work in this paper was extended in our follow-up works proposing data-driven algorithms for improving images reconstructed using the EMPM algorithm: "A Vision Transformer Approach for Efficient Near-Field SAR Super-Resolution under Array Perturbation" (arXiv, DOI) and "Efficient CNN-Based Super Resolution Algorithms for mmWave Mobile Radar Imaging" (arXiv, DOI).
If you appreciate our work, please cite as
@article{smith2022efficient,
title = {Efficient {3-D} Near-Field {MIMO-SAR} Imaging for Irregular Scanning Geometries},
author = {Smith, J. W. and Torlak, Murat},
year = 2022,
month = jan,
journal = {IEEE Access},
volume = 10,
pages = {10283--10294}
}
@inproceedings{smith2022vision,
title = {A Vision Transformer Approach for Efficient Near-Field {SAR} Super-Resolution under Array Perturbation},
author = {Smith, J. W. and Alimam, Y. and Vedula, G. and Torlak, M.}
year = 2022,
month = apr,
booktitle = {Proc. IEEE Tex. Symp. Wirel. Microw. Circuits Syst. (WMCS)},
address = {Waco, TX, USA},
pages = {1--6}
}
@inproceedings{vasileiou2022efficient,
title = {Efficient {CNN}-Based Super Resolution Algorithms for {mmWave} Mobile Radar Imaging},
author = {Vasileiou, C. and Smith, J. W. and Thiagarajan, S. and Nigh, M. and Makris, Y. and Torlak, M.},
year = 2022,
month = oct,
booktitle = {Proc. IEEE Int. Conf. Image Process. (ICIP)},
address = {Bordeaux, France},
pages = {3803--3807}
}