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APPENDIX


We describe the formulas for the Kalman filtering steps here. The notation
we use is the same as that discussed in the section on the Kalman filter.



  1. Evaluate and using the state equation.

  2. Find the observation YtandRby observing the system. Note that we
    have the matrix Hdefined as follows:


Yt=HXt+vt


  1. Compute the Kalman gain Kt.

  2. Evaluate given by.

  3. Evaluate.


ˆˆ


Ptt||KH Ptt KH KRK

T T

=−() (^11) − 1 ()− +


ˆ


Ptt|

ˆˆ


XKYHXtt||−− 11 +−t( t tt )

ˆ


Xtt|

KPHHPH Rtt=+T()t T


ˆˆ
1

ˆˆ


ˆˆ


||
||

XAX


PAPA


tt t t
tt t t

T

−−−
−−−

=


=


111
111

ˆ


Ptt|− 1

ˆ


Xtt|− 1

Kalman Filtering 69

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