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Proceedings Paper

Position match quality method for rejecting false targets in an IR target recognition system
Author(s): John R. Broussard; David L. Arp
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Paper Abstract

An imaging infrared (IR) autonomous target recognition system uses a prebrief geoposition location and IR image data to locate and track targets. On some occasions, the image processing target recognition algorithm identifies a non-target object as the desired prebriefed target. This paper derives a position match quality (PMQ) algorithm which monitors the convergence of the IR Kalman filter target estimation system and attempts to decide when the IR target being attacked should be rejected as a false target. Imaging guidance simulation results of the PMQ algorithm for Type I and Type II errors are shown.

Paper Details

Date Published: 28 July 1997
PDF: 10 pages
Proc. SPIE 3068, Signal Processing, Sensor Fusion, and Target Recognition VI, (28 July 1997); doi: 10.1117/12.280795
Show Author Affiliations
John R. Broussard, Texas Instruments Inc. (United States)
David L. Arp, Texas Instruments Inc. (United States)


Published in SPIE Proceedings Vol. 3068:
Signal Processing, Sensor Fusion, and Target Recognition VI
Ivan Kadar, Editor(s)

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