Title :
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
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;
Conference_Titel :
Aerospace and Electronics Conference, 1998. NAECON 1998. Proceedings of the IEEE 1998 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-4449-9
DOI :
10.1109/NAECON.1998.710104
