Paper
30 September 2003 Signal processing techniques for forward imaging using ultrawideband synthetic aperture radar
Author Affiliations +
Abstract
The U.S. Army Research Laboratory (ARL), as part of a customer and mission-funded exploratory development program, has been developing a prototype of low-frequency, ultra-wideband (UWB) forward-imaging synthetic aperture radar (SAR) to support the U.S. Army's vision for increased mobility and survivability of unmanned ground vehicle missions. The ability of the UWB radar technology to detect objects under foilage could provide an important obstacle-avoidance capability for robotic vehicles, which could improve the speed and maneuverability of these vehicles and consequently increase the survivability of the U.S. forces. In a recent experiment at Aberdeen Proving Ground (APG), we exercised the UWB SAR radar in forward-looking mode and collected data to support the investigation. This paper discusses the signal processing algorithms and techniques that we developed and applied to the recent UWB SAR forward-looking data. The algorithms include motion data processing, self-interference signal (SIR) removal, radio frequency interference (RFI) signal removal, forward-looking image formation, and visualization techniques. We present forward-loking SAR imagery and also volumetric imagery of some targets.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lam H. Nguyen, Tuan T. Ton, David C. Wong, and Marc A. Ressler "Signal processing techniques for forward imaging using ultrawideband synthetic aperture radar", Proc. SPIE 5083, Unmanned Ground Vehicle Technology V, (30 September 2003); https://doi.org/10.1117/12.488579
Lens.org Logo
CITATIONS
Cited by 13 scholarly publications and 8 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Radar

Synthetic aperture radar

Signal processing

Electromagnetic coupling

Detection and tracking algorithms

Visualization

Algorithm development

Back to Top