Title :
Computing maximal track clusters for sensor resource management
Author :
Schneider, Michael K.
Author_Institution :
Adv. Inf. Technol., BAE Syst., Burlington, MA, USA
Abstract :
In this paper, we present an approach to clustering tracks into maximal groups for sensor resource management. The motivation is that sensor tasks include ones for revisiting existing tracks, and one would like to cluster these tracks into groups that are simultaneously observable. The sensor resource manager can then schedule the groups for observation. Note that the feasible groupings are constrained by the observable region of the sensor. We illustrate our approach for two different types of sensors with different observable regions: mechanically-steered sensors such as gimbaled electro-optical or dish radars and electronically-steered radar arrays. Our numerical results demonstrate that our approach to clustering tracks into maximal groups reduces the number of tracks groups that need to be observed as compared to more conventional means for clustering tracks.
Keywords :
beam steering; radar signal processing; sensor fusion; dish radars; electronically-steered radar arrays; maximal track clusters; sensor resource management; Clustering algorithms; Electrooptic devices; Information technology; Radar tracking; Resource management; Sensor arrays; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Target tracking; Sensor resource management; clustering; maximal groups; tracking;
Conference_Titel :
Information Fusion, 2009. FUSION '09. 12th International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-0-9824-4380-4