Title :
An algorithm that integrates dissimilar sensor tracks for today´s platform configurations
Author_Institution :
Lockheed Martin, Moorestown, NJ, USA
Abstract :
Today´s highly capable threats, low reaction time scenarios, diverse sensor environments, and intelligent adversarial jamming capabilities require a fast and robust tracking fusion process. The fusion of all organic (belonging to the same platform, e.g., ship, airplane, submarine, ...) sensor tracking processes improves the operational effectiveness of any platform be it fire control or situational awareness. This article discusses two concepts relevant in many existing platforms: the fusion of sensors tracks, and the optimal use of legacy systems in the fusion process
Keywords :
digital simulation; estimation theory; jamming; military computing; sensor fusion; tracking; airplane; dissimilar sensor tracks; diverse sensor environments; fire control; fusion; intelligent adversarial jamming; legacy systems; operational effectiveness; platform configurations; robust tracking fusion; ship; situational awareness; submarine; Engines; Filters; Fires; Intelligent sensors; Least squares approximation; Radar tracking; Sensor fusion; Sensor phenomena and characterization; Sensor systems; 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.1998.710167
