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A Single-Pass Noise Covariance Estimation Algorithm in Nonswitching Multiple-Model Adaptive Kalman Filters for Nonstationary Systems.

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Title: A Single-Pass Noise Covariance Estimation Algorithm in Nonswitching Multiple-Model Adaptive Kalman Filters for Nonstationary Systems.
Authors: HEE-SEUNG KIM1, hee-seung.kim@uconn.edu, BIENKOWSKI, ADAM1, adam.bienkowski@uconn.edu, LINGYI ZHANG1, lingyi.zhang@uconn.edu, PATTIPATI, KRISHNA R.1, krishna.pattipati@uconn.edu
Source: Journal of Advances in Information Fusion; Jun2024, Vol. 19 Issue 1, p3-19, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180614359
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A Single-Pass Noise Covariance Estimation Algorithm in Nonswitching Multiple-Model Adaptive Kalman Filters for Nonstationary Systems.
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  Data: <searchLink fieldCode="AU" term="%22HEE-SEUNG+KIM%22">HEE-SEUNG KIM</searchLink><relatesTo>1</relatesTo>, <i>hee-seung.kim@uconn.edu</i><br /><searchLink fieldCode="AU" term="%22BIENKOWSKI%2C+ADAM%22">BIENKOWSKI, ADAM</searchLink><relatesTo>1</relatesTo>, <i>adam.bienkowski@uconn.edu</i><br /><searchLink fieldCode="AU" term="%22LINGYI+ZHANG%22">LINGYI ZHANG</searchLink><relatesTo>1</relatesTo>, <i>lingyi.zhang@uconn.edu</i><br /><searchLink fieldCode="AU" term="%22PATTIPATI%2C+KRISHNA+R%2E%22">PATTIPATI, KRISHNA R.</searchLink><relatesTo>1</relatesTo>, <i>krishna.pattipati@uconn.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Advances+in+Information+Fusion%22">Journal of Advances in Information Fusion</searchLink>; Jun2024, Vol. 19 Issue 1, p3-19, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180614359
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      – Code: eng
        Text: English
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        PageCount: 17
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      – TitleFull: A Single-Pass Noise Covariance Estimation Algorithm in Nonswitching Multiple-Model Adaptive Kalman Filters for Nonstationary Systems.
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            NameFull: HEE-SEUNG KIM
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            NameFull: LINGYI ZHANG
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            – D: 01
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              Text: Jun2024
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              Y: 2024
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              Value: 19
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