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Gaussian approximation in recursive estimation of multiple states of nonlinear wiener systems

โœ Scribed by O.L.R. Jacobs


Publisher
Elsevier Science
Year
1988
Tongue
English
Weight
361 KB
Volume
24
Category
Article
ISSN
0005-1098

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โœฆ Synopsis


The paper concerns recursive state estimation in Wiener systems where the output is a scalar weighted sum of multiple states. A Gaussian approximation to the computed conditional probability distribution for the scalar sum of states is shown to lead to a practicable numerical algorithm for estimating the multiple states. This algorithm mimics the Kaiman filter. Simulations show the method giving good performance when the nonlinearity is severe quantization.


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