Recursive Filtering in the Presence of Biases with Irreducible Uncertainty

Bernard Friedland

doi:10.1109/TAC.1976.1101328

Recursive Filtering in the Presence of Biases with Irreducible Uncertainty

Bernard Friedland

Research output: Contribution to journal › Letter › peer-review

11 Scopus citations

Abstract

A simplification of the “separate-bias” algorithm described in [1] is afforded by the assumption that the covariance matrix of the bias cannot be reduced by the operation of the filter. The calculations are illustrated for a biased sensor governed by a first-order differential equation.

Original language	English (US)
Pages (from-to)	789-790
Number of pages	2
Journal	IEEE Transactions on Automatic Control
Volume	21
Issue number	5
DOIs	https://doi.org/10.1109/TAC.1976.1101328
State	Published - Oct 1976
Externally published	Yes

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Control and Systems Engineering
Computer Science Applications

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10.1109/TAC.1976.1101328

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abstract = "A simplification of the “separate-bias” algorithm described in [1] is afforded by the assumption that the covariance matrix of the bias cannot be reduced by the operation of the filter. The calculations are illustrated for a biased sensor governed by a first-order differential equation.",

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year = "1976",

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AB - A simplification of the “separate-bias” algorithm described in [1] is afforded by the assumption that the covariance matrix of the bias cannot be reduced by the operation of the filter. The calculations are illustrated for a biased sensor governed by a first-order differential equation.

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Recursive Filtering in the Presence of Biases with Irreducible Uncertainty

Abstract

All Science Journal Classification (ASJC) codes

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