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:
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.
For the direct holographic image reconstruction using 3D FFT, please check out my final repository at:
Thanks, Muhammet, for your reply.
I see that the shared code produces slice-by-slice 2D images and stack them in depth to create a 3D image. While this is very useful in analyzing the shape, etc., it does not produce a true 3D focused image. Did you try to focus in depth by Interpolation and Inverse 3D FFT following this paper:
David M. Sheen, et. al, Three-Dimensional Millimeter-Wave Imaging for Concealed Weapon Detection, in IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, VOL. 49, NO. 9, SEPTEMBER 2001
Thank you very much,
Thank you for your interest in our research. Because we focus on 3-D imaging, we explore the X-Y movement along with the chirp signal in our experiments. We have not tried only X-movement and the chirp signal for 2-D imaging. But I believe that, the code we shared can be used in this scenario also.
In your comment, if you mean moving a MIMO radar along X-axis and using the wideband chirp signal for 3-D imaging, our code already covers this scenario.
I am Sanjib Sur, an Assistant Professor at the University of South Carolina.
Thanks for sharing this code and data. This is very useful!
I am wondering if you have tried to reconstruct the image using only X-movement and chirp signal. If you have, could you please share the reference code?
Thank you very much,
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