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Proceedings Paper

Contrast-based moving target detection with the randomized linear receive array
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Paper Abstract

The Army Research Laboratory (ARL) has, in the past, demonstrated the effectiveness of low frequency, ultrawideband radar for detection of slow-moving targets located behind walls. While these initial results were promising, they also indicated that sidelobe artifacts produced by moving target indication (MTI) processing could pose serious problems. Such artifacts induced false alarms and necessitated the introduction of a tracker stage to eliminate them. Of course, the tracker algorithm was also imperfect, and it tended to pass any persistent, nearly collocated false alarms. In this work we describe the incorporation of a sidelobe-reduction technique-the randomized linear receiver array (RA)-into our MTI processing chain. To perform this investigation, we leverage data collected by ARL's synchronous impulse reconstruction (SIRE) radar. We begin by calculating MTI imagery using both the non-random and randomized array methods. We then compare the sidelobe levels in each image and quantify the differences. Finally, we apply a local-contrast target detection algorithm based on constant false alarm rate (CFAR) principles, and we analyze probabilities of detection and false alarm for each MTI image.

Paper Details

Date Published: 3 May 2012
PDF: 6 pages
Proc. SPIE 8361, Radar Sensor Technology XVI, 83611K (3 May 2012); doi: 10.1117/12.922965
Show Author Affiliations
Kenneth Ranney, U.S. Army Research Lab. (United States)
Anthony Martone, U.S. Army Research Lab. (United States)
Roberto Innocenti, U.S. Army Research Lab. (United States)
Lam Nguyen, U.S. Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 8361:
Radar Sensor Technology XVI
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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