Complex Information Filter and Complex Kalman Filter Comparison: Selection of the Faster Filter

Complex Kalman filters are used in complex signal processing. A comparison between the complex Kalman filter and the complex Information filter is presented in the general case of discrete-time widely linear models. The complex Kalman filter and the complex Information filter compute iteratively the same estimations. The computational burdens of these complex filters are determined and a method is derived to decide which filter is the faster one, taking into account only the model dimensions.

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Publication Details

Journal
WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Published
2024-11-13
DOI
https://doi.org/10.37394/23203.2024.19.34
Citations
2
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
Field-Weighted Citation Impact
0.69
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article

Complex Information Filter and Complex Kalman Filter Comparison: Selection of the Faster Filter

Nicholas Assimakis, Athanasios Polyzos, Christos G. Tsinos, Μαρία Αδάμ
2 citations
WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Target Tracking and Data Fusion in Sensor Networks
0.69
article

Complex Information Filter and Complex Kalman Filter Comparison: Selection of the Faster Filter

Nicholas Assimakis, Athanasios Polyzos, Christos G. Tsinos, Μαρία Αδάμ
article en
2 citations

Abstract

Complex Kalman filters are used in complex signal processing. A comparison between the complex Kalman filter and the complex Information filter is presented in the general case of discrete-time widely linear models. The complex Kalman filter and the complex Information filter compute iteratively the same estimations. The computational burdens of these complex filters are determined and a method is derived to decide which filter is the faster one, taking into account only the model dimensions.

WSEAS TRANSACTIONS ON SYSTEMS AND CONTROLVol. 19
University of Thessaly (GR), National and Kapodistrian University of Athens (GR)
Openalex Percentile: Top 23%
Target Tracking and Data Fusion in Sensor Networks
0.69
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