Air target algorithm development (ATAD)

Author

Overfield, Byron ; Thomas, Job ; Cohen, Moshik ; Sylvester, V. ; Rogers, Richard ; Morgan, D.

Author_Institution

AFRL-SNAA, Wright Patterson AFB, OH, USA

fYear

1998

fDate

13-17 Jul 1998

Firstpage

104

Lastpage

110

Abstract

The Combat Air Forces have invested heavily in a sensor and weapon capability to detect and attack air targets at long ranges. Unfortunately, the ability to identify these targets lags behind these capabilities. Under the Air Force sponsored Air Target Algorithm Development (ATAD) program, model-based reasoning (MBR) fusion algorithms have been developed and demonstrated for improved air target identification (ID). The expected payoff is a robust ID algorithm that offers improved timelines, increased ID confidence, enhanced target aspect performance, robustness to countermeasures, and longer ID ranges. The technology is applicable to all current and future fighter aircraft

Keywords

Bayes methods; decision theory; feature extraction; identification; military avionics; military computing; model-based reasoning; probability; radar target recognition; sensor fusion; target tracking; Air Target Algorithm Development; Combat Air Forces; ID algorithm; ID confidence; air target algorithm; enhanced target aspect performance; feature extraction; fighter aircraft; fusion algorithms; improved air target identification; model-based reasoning; probabilistic modelling; radar data; robustness; weapon; Bayesian methods; Data visualization; Distributed computing; Probability distribution; Radar measurements; Random variables; Sensor phenomena and characterization; Sensor systems; Statistical analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1998. NAECON 1998. Proceedings of the IEEE 1998 National

Conference_Location

Dayton, OH

ISSN

0547-3578

Print_ISBN

0-7803-4449-9

Type

conf

DOI

10.1109/NAECON.1998.710104

Filename

710104