DocumentCode
2102013
Title
A circuit theory of the Kalman filter
Author
Carter, David W.
Author_Institution
Dept. of Anal. & Software, Charles Stark Draper Lab. Inc., Cambridge, MA, USA
fYear
1993
fDate
15-17 Dec 1993
Firstpage
1224
Abstract
This note gives a short heuristic derivation of the discrete Kalman filter by considering simple voltage measurement circuits. The idea is to obtain conclusions about the general estimation problem by reasoning about an electric analog. The usual Kalman filter and the formulation known as the information filter are both quickly derived by this method. A basis for this approach is Nyquist´s result (1928) that any resistance R exhibits a thermal noise voltage-the Johnson noise in radio engineering-of constant power spectral density proportional to R. It follows that multivariate white noise may be realized as the thermal noise of a resistive n-port. We model the general noisy measurement problem as a measurement problem on a resistive circuit. Covariance matrices arise in a concrete fashion as resistance matrices
Keywords
Kalman filters; estimation theory; heuristic programming; matrix algebra; multiport networks; thermal noise; voltage measurement; Johnson noise; circuit theory; constant power spectral density; covariance matrices; discrete Kalman filter; discrete sequential estimation; heuristic derivation; information filter; multivariate white noise; resistive n-port; thermal noise voltage; voltage measurement circuits; Circuit noise; Circuit theory; Covariance matrix; Electric resistance; Electrical resistance measurement; Information filters; Power engineering and energy; Thermal engineering; Thermal resistance; Voltage measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-1298-8
Type
conf
DOI
10.1109/CDC.1993.325378
Filename
325378
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