Simplified 2D mmWave Near-Field Imaging

A Simplified 2D Image Reconstruction Solution using TI IWR1443 mmWave sensors

https://github.com/meminyanik/Simplified-2D-mmWave-Imaging

Version 3.0.3 (1.49 MB)
866 Downloads
(5)
8 Nov 2021

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In this repository, a two-dimensional (2-D) near-field imaging solution based on the combination of synthetic aperture radar (SAR) processing techniques and the low-cost system-on-chip millimeter-wave frequency-modulated continuous-wave (FMCW) radars is provided. To create a synthetic aperture over the target scene, a two-axis automatic rail system is built and integrated with Texas Instruments IWR1443 77-GHz millimeter-wave FMCW radar sensor. Simplified signal processing techniques for near-field 2-D image formation is
introduced.
Recorded SAR data samples can be downloaded from the link below:
https://utdallas.box.com/v/2D-mmWave-imaging-dataset
Acknowledgement: This work was supported by the Semiconductor Research Corporation (SRC) task 2712.029 through The University of Texas at Dallas’ Texas Analog Center of Excellence (TxACE)

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Cite As

M. E. Yanik and M. Torlak, "Near-Field 2-D SAR Imaging by Millimeter-Wave Radar for Concealed Item Detection," 2019 IEEE Radio and Wireless Symposium (RWS), Orlando, FL, USA, 2019, pp. 1-4.

M. E. Yanik and M. Torlak, "Simplified 2D mmWave Near-Field Imaging," The University of Texas at Dallas, Department of Electrical and Computer Engineering, Richardson, TX, USA, 2019.

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
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Version Published Release Notes
3.0.3

Data set link is updated.
3.0.2

Data set link is updated.
3.0.1

Citation and acknowledgement text is updated.
3.0.0

The broken link for the recorded data example is fixed.
2.0.0

A Box link to download the SAR data samples is given.
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.