NDLI: Creating a likelihood vector for ground moving targets in the exo-clutter region of airborne radar signals

Content Provider	IEEE Xplore Digital Library
Author	Nagel, D. Smith, S.
Copyright Year	2012
Description	Author affiliation: COEYR2 (Airborne Radar), Cassidian Wörthstr. 85, 89077 Ulm (Smith, S.) \|\| COEYR1 (Radar Concepts), Cassidian, Wörthstr. 85, 89077 Ulm (Nagel, D.)
Abstract	An airborne radar sensor operating in Ground Moving Target Indicator (GMTI) mode is able to distinguish between airborne targets and ground moving targets. Further, it is possible to separate stationary from moving ground targets. For military radar applications, it is desirable that the GMTI mode be extended to allow classification of detected ground targets. In addition, such an extension should permit classification of helicopters. A model-based classification algorithm suitable for GMTI processing as well as for Doppler signal evaluation is presented, which outputs a likelihood vector and, because it uses only signals in the exo-clutter region (clutter-free region of the range-Doppler domain), does not require STAP-processing.
Starting Page	49
Ending Page	54
File Size	211948
Page Count	6
File Format	PDF
ISBN	9781467330107
e-ISBN	9781467330114
DOI	10.1109/SDF.2012.6327907
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-04
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Likelihood-vector Target tracking GMTI Mode ATR-Processing Modulation Classification Radar tracking Radar antennas Skin Doppler effect Clutter
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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