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A Zakai equation derivation of the extended Kalman filter

✍ Scribed by Robert J. Elliott; Simon Haykin


Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
841 KB
Volume
46
Category
Article
ISSN
0005-1098

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✦ Synopsis


A discrete time filter is considered where both the observation and signal process have non-linear dynamics with additive Gaussian noise. Using the reference probability framework a convolution type Zakai equation is obtained which updates the unnormalized conditional density. Using first order approximations this equation can be solved recursively and the extended Kalman filter can be derived.


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