Paper
29 October 1997 Practical nonlinear filtering with the method of virtual measurements
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Abstract
The method of virtual measurements (MOVM) is 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. Several examples are given in which the performance of the new nonlinear filter is compared with the extended Kalman filter.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frederick E. Daum "Practical nonlinear filtering with the method of virtual measurements", Proc. SPIE 3163, Signal and Data Processing of Small Targets 1997, (29 October 1997); https://doi.org/10.1117/12.279530
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Cited by 1 scholarly publication.
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KEYWORDS
Nonlinear filtering

Filtering (signal processing)

Digital filtering

Time metrology

Electronic filtering

Palladium

Complex systems

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