Title :
Fusion of hybrid data in mode estimation
Author :
Lin, C.E. ; Yang, C. ; Cloutier, J. ; Evers, J.H. ; Zachery, R.
Author_Institution :
American GNC Corp., Chatsworth, CA, USA
Abstract :
The adaptive management of a multisensor system is indispensable for ensuring the synergistic use of multiple sensors to improve system performance. Two aspects of the multisensor system are addressed. First, the problem of adaptive management of multiple sensors as a function of environmental and operational conditions is considered. Second, an investigation of various fusion schemes at different levels is performed by considering the use of hybrid measurements which are typically continuous-valued and discrete-valued. The hybrid-measurement-based estimation of the jump mode, which suitably describes the environmental and operational condition changes, is illustrated through simulation. It is concluded that the improved mode estimation can be used by a multisensor adaptive management system for environmental adaptation
Keywords :
adaptive systems; sensor fusion; adaptive management; environmental adaptation; hybrid data fusion; hybrid measurements; mode estimation; multisensor system; synergistic use; Adaptive systems; Environmental management; Force sensors; IEEE members; Intelligent sensors; Laser radar; Millimeter wave radar; Multisensor systems; Navigation; Performance evaluation; Power engineering and energy; Sensor phenomena and characterization; Sensor systems; System performance;
Conference_Titel :
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-0450-0
DOI :
10.1109/CDC.1991.261115