DocumentCode :
2254220
Title :
A likelihood-based approach to joint target tracking and identification
Author :
O´Sullivan, J.A. ; Jacobs, S.P. ; Miller, M.I. ; Snyder, D.L.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., St. Louis, MO, USA
fYear :
1993
fDate :
1-3 Nov 1993
Firstpage :
290
Abstract :
The identification of aircraft using high range resolution radars requires a close interaction between the tracker and the identification algorithm. The tracker produces as output not only the estimates of target position and orientation, but also a measure of the quality of those estimates. The identification algorithm performs a likelihood-based search over both target types and target positions and orientations. This search compares the measured data to predicted data obtained from surface models of the possible targets. The search constitutes a simultaneous target tracking and identification system
Keywords :
maximum likelihood estimation; radar target recognition; radar tracking; search problems; stochastic processes; aircraft identification; identification algorithm; likelihood-based approach; likelihood-based search; maximum likelihood estimate; measured data; radar target identification; radar target tracking; stochastic search; surface models; target orientation; target position; target types; Additive noise; Airborne radar; Aircraft; Antenna measurements; Jacobian matrices; Laboratories; Lattices; Position measurement; Predictive models; Radar tracking; Signal processing; State estimation; Target recognition; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
0-8186-4120-7
Type :
conf
DOI :
10.1109/ACSSC.1993.342519
Filename :
342519
Link To Document :
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