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