I/O SNR and Noise Covariances Norm Ratio Relation in Kalman Filter

Kalman filters are used with great success to solve filtering problems in many fields of science and engineering. The ignorance of state noise covariance or the measurement noise covariance often creates difficulties in the practical application of Kalman filters. In this paper, the relation between the Input/Output signal-to-noise ratio (I/O SNR) and the noise covariance norm ratio for the discrete-time steady-state Kalman filter is established. The state or measurement noise covariance can be tuned via the I/O SNR. This result can be applied in time-varying systems and in steady-state systems, without the a priori knowledge of the state or measurement noise covariance.

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Publication Details

Journal
WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Published
2024-12-23
DOI
https://doi.org/10.37394/23203.2024.19.40
Citations
1
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
Field-Weighted Citation Impact
0.35
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article

I/O SNR and Noise Covariances Norm Ratio Relation in Kalman Filter

Nicholas Assimakis, Μαρία Αδάμ
1 citations
WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Target Tracking and Data Fusion in Sensor Networks
0.35
article

I/O SNR and Noise Covariances Norm Ratio Relation in Kalman Filter

Nicholas Assimakis, Μαρία Αδάμ
article en
1 citations

Abstract

Kalman filters are used with great success to solve filtering problems in many fields of science and engineering. The ignorance of state noise covariance or the measurement noise covariance often creates difficulties in the practical application of Kalman filters. In this paper, the relation between the Input/Output signal-to-noise ratio (I/O SNR) and the noise covariance norm ratio for the discrete-time steady-state Kalman filter is established. The state or measurement noise covariance can be tuned via the I/O SNR. This result can be applied in time-varying systems and in steady-state systems, without the a priori knowledge of the state or measurement noise covariance.

WSEAS TRANSACTIONS ON SYSTEMS AND CONTROLVol. 19
University of Thessaly (GR), National and Kapodistrian University of Athens (GR)
Openalex Percentile: Top 30%
Target Tracking and Data Fusion in Sensor Networks
0.35
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I/O SNR and Noise Covariances Norm Ratio Relation in Kalman Filter — Nicholas Assimakis, Μαρία Αδάμ · WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL (2024) | TGRS Research Map | TGRS