Title :
Virtual measurements for nonlinear filters
Author_Institution :
Raytheon Co., Marlborough, MA, USA
Abstract :
The method of virtual measurements (MOVM) will be described for designing nonlinear filters. The new nonlinear filter theory generalizes the Kalman filter, and in some important applications, the performance of the new filter is vastly superior to the extended Kalman filter (EKF). Unlike the EKF, the new theory does not use linearization. The new design approach, MOVM, can be applied to exact nonlinear filters as well as nonlinear approximate filters
Keywords :
Kalman filters; filtering theory; linearisation techniques; nonlinear filters; Kalman filter; MOVM; exact nonlinear filters; nonlinear approximate filters; virtual measurements; Computational complexity; Design methodology; Electronic mail; Filtering theory; Linear approximation; Nonlinear equations; Nonlinear filters; Partial differential equations; Random variables; Time measurement;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.657754
