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Proceedings Paper

Signal processing and image formation using low-frequency ultra-wideband radar data
Author(s): Lam H. Nguyen; Marc Ressler; Mehrdad Soumekh
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Paper Abstract

In support of the U.S. Army Night Vision And Electronic Sensors Directorate (NVESD), the U.S. Army Research Laboratory (ARL) has developed infrastructures, tools, and algorithms to evaluate the data set. This paper focuses on the signal processing and image formation using data from a low-frequency ultra-wideband sensor. We examine various issues that are associated with this class of SAR databases such as radio frequency interference (RFI), the effects of spectral notches, and errors in motion measurement to image quality. We show the pre-processing steps such as frequency and phase calibration, radio frequency interference extraction. We also show the application of digital spotlight technique to correct motion errors introduced by the measurement system. Finally, we show the resulting SAR imagery of various minefields.

Paper Details

Date Published: 21 September 2004
PDF: 12 pages
Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); doi: 10.1117/12.543897
Show Author Affiliations
Lam H. Nguyen, Army Research Lab. (United States)
Marc Ressler, Army Research Lab. (United States)
Mehrdad Soumekh, Univ. at Buffalo (United States)


Published in SPIE Proceedings Vol. 5415:
Detection and Remediation Technologies for Mines and Minelike Targets IX
Russell S. Harmon; J. Thomas Broach; John H. Holloway, Editor(s)

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