Experiments with a holographic radar based on Software Defined Radio

Authors

Keywords:

Software-defined radio, radar, through-the-wall

Abstract

The development of radar applications usually involves a complex set of different components, which can be costly and sometimes require careful handling. By concentrating most of the radar tasks into a software-defined radio, the hardware burden is alleviated, while the processing can be efficiently developed using open-source software suites. This article describes the development of a prototype radar based on a commercial software-defined radio, using only a few extra components. It operates under the holographic principle, where excitation is performed in single frequency, continuously transmitted. The tests have shown its potential applicability, carried out in an indoor environment, including through-the-wall detection.

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Author Biographies

Marcelo Perotoni, UFABC, Santo Andre, Brazil

Electrical Engineering (UFRGS, 1995), MsC and PhD in Electrical Engineering (USP, 2001 and 2005). He is currently professor at UFABC, Santo Andre, and investigates the fields of RF, Microwave and EMC.

Marcos Vieira, Universidade Presbiteriana Mackenzie, Sao Paulo, Brazil

Electrical Engineering at UMC, Mogi das Cruzes, SP, 1996. MsC in Electrical Engineering from Univ. Presbiteriana Mackenzie, São Paulo, SP 2004 and PhD from Escola Politécnica da USP, São Paulo, SP, 2015. He is currently a professor at Univ. Presbiteriana Mackenzie.

Rafael Bartolleti, UFABC, Sao Paulo, Brazil

Instrumentation, Automation and Robotics Engineering degree from UFABC, 2023, currently working towards a Masters degree in the UFABC Electrical Engineering program.

References

G. Charvat, Small and Short-Range Radar Systems. CRC Press, 2014.

A. Sluyters, S. Lambot, and J. Vanderdonckt, “Hand gesture recognition

for an off-the-shelf radar by electromagnetic modeling and inversion,”

in Proceedings of the 27th International Conference on intelligent user

interfaces (IUI), 2022.

A. Bekar, M. Antoniou, and C. J. Baker, “High-resolution droneborne

sar using off the-shelf high-frequency radars,” in IEEE Radar

Conference (RadarConf21), 2021.

H. Jeong and S. Kim, “Educational low-cost c-band fmcw radar system

comprising commercial off-the-shelf components for indoor throughwall

object detection,” Electronics, vol. 10, pp. 1–11, 2021.

R. May, Y. Steinheim, P. Kvaløy, and F. Hanssen, “Performance test and

verification of an off-the-shelf automated avian radar tracking system,”

Ecology and Evolution, vol. 7, pp. 5930–5938, 2017.

G. Storz and A. Lavrenko, “Compact low-cost fmcw harmonic radar for

short range insect tracking,” in IEEE Radar Conference (RADAR), 2020.

C. Özdemir, Inverse Synthetic Aperture Radar Imaging With MATLAB

Algorithms. Wiley, 2012.

J. M. Christiansen and G. E. Smith, “Development and calibration of a

low-cost radar testbed based on the universal software radio peripheral,”

IEEE Aerospace and Electronic Systems Magazine, vol. 34, no. 12,

pp. 50–60, 2019.

N. I. Avdievich, A. V. Nikulin, L. Ruhm, and A. W. Magill, “A 32-

element loop/dipole hybrid array for human head imaging at 7 T,” Magn.

Reson. Med., pp. 1–15, 2022.

J. Jehanzeb Burki, T. Ali, and S. Arshad, “Vector network analyzer (vna)

based synthetic aperture radar (sar) imaging,” in Proceedings of the 16th

International Multi Topic Conference (INMIC), 2013.

A. A. Pramudita, T. O. Praktika, and S. Jannah, “Radar modeling experiment

using vector network analyzer,” in Proceedings of the International

Symposium on Antennas and Propagation (ISAP), 2020.

J. Yu and M.-H. Ka, “Precision near-field reconstruction in the time

domain via minimum entropy for ultra-high resolution radar imaging,”

Remote Sens., vol. 9, no. 449, pp. 1–19, 2017.

L. Bossi, P. Falorni, and L. Capineri, “Versatile electronics for microwave

holographic radar based on software defined radio technology,”

Electronics, vol. 11, pp. 1–16, 2022.

R. K. Amineh, M. Ravan, R. Sharma, and S. Baua, “Three-dimensional

holographic imaging using single frequency microwave data,” International

Journal of Antennas and Propagation, vol. 2018, no. 6542518,

pp. 1–15, 2018.

K. Iizuka, “Microwave hologram by photoengraving,” IEEE Proceedings,

vol. 57, no. 5, pp. 813–814, 1969.

M. R. P. Cerquera, J. D. C. Montaño, and I. Mondragón, UAV for

Landmine Detection Using SDR-Based GPR Technology. Intech, 2017.

W. Feng, J. M. Friedt, and P. Wan, “Sdr implemented ground-based interferometric

radar for displacement measurement,” IEEE Trans. Instrum.

Meas., vol. 70, pp. 1–18, 2021.

H. L. Hartnagel, R. Quay, U. L. Rohde, and R. M. (editors), Fundamentals

of RF and Microwave Techniques and Technologies. Springer,

M. B. Perotoni, C. J. Bordin Jr., and K. M. G. dos Santos, “Conversion

of scattering parameters to time-domain for imaging applications: Rules

and examples,” Journal of Communication and Information Systems,

vol. 36, no. 1, pp. 1–7, 2021.

H. C. Kumawat and A. B. Raj, “Extraction of doppler signature of

micro-to macro rotations/motions using continuous wave radar-assisted

measurement system,” IET Sci., Meas. Technol., vol. 14, pp. 772–785,

M. G. Amin, Through-the-wall radar imaging. CRC Press, 2011.

S. Singh, Q. Liang, D. Chen, and L. Sheng, “Sense through wall

human detection using uwb radar,” EURASIP Journal on Wireless

Communications and Networking, vol. 20, pp. 1–11, 2011.

Published

2023-11-01

How to Cite

Perotoni, M., Vieira, M., & Bartolleti, R. (2023). Experiments with a holographic radar based on Software Defined Radio. IEEE Latin America Transactions, 21(12), 1306–1312. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/8432

Issue

Section

Electronics

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