NDLI: Ultra narrow band adaptive tomographic radar

Content Provider	IEEE Xplore Digital Library
Author	Wicks, M.C. Himed, B. Bracken, J.L.E. Bascom, H. Clancy, J.
Copyright Year	2005
Description	Author affiliation: Air Force Res. Lab., NY, USA (Wicks, M.C.; Himed, B.; Bracken, J.L.E.)
Abstract	This paper addresses the issue of spatial diversity in radar applications. Typically, information concerning ground and air targets is obtained via monostatic radar. Increased information is often equated with increased bandwidth in these radar systems. However, geometric diversity obtained through multistatic radar operations also affords the user the opportunity to obtain additional information concerning threat targets. With the appropriate signal processing, this translates directly into increased probability of detection and reduced probability of false alarm. In the extreme case, only discrete ultra narrow band (UNB) frequencies of operation may be available for both commercial and military applications. With limited spectrum, UNB in the limiting case, the need for geometric diversity becomes imperative. This occurs because the electromagnetic spectrum available for commercial and military radar applications is continuously being eroded while the need for increased information via radio frequency (RF) detection of threat targets is increasing. In addition, geometric diversity improves target position accuracy and image resolution, which would otherwise remain unavailable with monostatic radar.
Starting Page	36
Ending Page	39
File Size	396472
Page Count	4
File Format	PDF
ISBN	0780393228
DOI	10.1109/CAMAP.2005.1574177
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-13
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Limiting Image resolution Radar detection Bandwidth Tomography Radar signal processing Radar applications Electromagnetic spectrum Narrowband
Content Type	Text
Resource Type	Article

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