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Proceedings Paper

Signal processing techniques for the U.S. Army Research Laboratory stepped frequency ultra-wideband radar
Author(s): Lam Nguyen
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Paper Abstract

The U.S. Army Research Laboratory (ARL) recently designed and tested a new prototype radar, the Spectrally Agile Frequency-Incrementing Reconfigurable (SAFIRE) radar system, based on a stepped-frequency architecture to address issues associated with our previous impulse-based radars. This is a low-frequency ultra-wideband (UWB) radar with frequencies spanning from 300 to 2000 MHz. Mounted on a vehicle, the radar can be configured in either sidelooking or forward-looking synthetic aperture radar (SAR) mode. We recently conducted our first experiment at Yuma Proving Grounds (YPG). This paper summarizes the radar configurations, parameters, and SAR geometry. The radar data and other noise sources, to include the self-interference signals and radio-frequency interference (RFI) noise sources, are presented and characterized in both the raw (pre-focus) and SAR imagery domains. This paper also describes our signal processing techniques for extracting noise from radar data, as well as the SAR imaging algorithms for forming SAR imagery in both forward- and side-looking modes. Finally, this paper demonstrates our spectral recovery technique and results for a radar operating in a spectrally restricted environment.

Paper Details

Date Published: 1 May 2017
PDF: 11 pages
Proc. SPIE 10188, Radar Sensor Technology XXI, 101880J (1 May 2017); doi: 10.1117/12.2262032
Show Author Affiliations
Lam Nguyen, U.S. Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 10188:
Radar Sensor Technology XXI
Kenneth I. Ranney; Armin Doerry, Editor(s)

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