Real-Time FMCW Radar System forWaveform Optimization using SDRs

  • Shammi A Doly Center for Wireless Information Systems and Computational Architectures (WISCA), Arizona State University, Tempe, AZ
  • Gerard Gubash Center for Wireless Information Systems and Computational Architectures (WISCA), Arizona State University, Tempe, AZ
  • Mikko Heino
  • Alex Chiriyath Center for Wireless Information Systems and Computational Architectures (WISCA), Arizona State University, Tempe, AZ
  • Daniel W Bliss Center for Wireless Information Systems and Computational Architectures (WISCA), Arizona State University, Tempe, AZ

Abstract

We develop a highly flexible real-time FMCW
radar system for designing and testing different
radar waveforms (e.g., triangular, sawtooth) and
radar signal processing algorithms (e.g., stretch
processing) without the need for extensive hardware
modifications and MATLAB codes. We implement
an adaptive waveform co-design technique
in a single real-time feedback loop for
multi-user networks applications leveraging lowcost
SDRs. To implement a feedback loop in
real-time, an asynchronous message-passing interface
is employed in this experiment. Furthermore,
we show the benefits of radar waveform
optimization, particularly by increasing RMS
bandwidth and significantly increasing target detection
performance by enhancing range resolution.
To demonstrate real-time spectrum optimization,
we use the GNU Radio block for realtime
spectrum analyzer (RTSA)-like spectrum
visualization.

Published
2024-09-24
How to Cite
DOLY, Shammi A et al. Real-Time FMCW Radar System forWaveform Optimization using SDRs. Proceedings of the GNU Radio Conference, [S.l.], v. 9, n. 1, sep. 2024. Available at: <https://pubs.gnuradio.org/index.php/grcon/article/view/149>. Date accessed: 16 oct. 2024.
Citation Formats
Issue
Vol 9 No 1 (2024): Proceedings of the 14th GNU Radio Conference
Section
Articles
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