View in EDS

On the Identification of Noise Covariances and Adaptive Kalman Filtering: A New Look at a 50 Year-Old Problem.

Saved in:
Bibliographic Details
Title: On the Identification of Noise Covariances and Adaptive Kalman Filtering: A New Look at a 50 Year-Old Problem.
Authors: Zhang L; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA., Sidoti D; U.S. Naval Research Laboratory, Marine Meteorology Division, Monterey, CA 93943, USA., Bienkowski A; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA., Pattipati KR; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA., Bar-Shalom Y; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA., Kleinman DL; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA.
Source: IEEE access : practical innovations, open solutions [IEEE Access] 2020; Vol. 8, pp. 59362-59388. Date of Electronic Publication: 2020 Mar 23.
Publication Type: Journal Article
Journal Info: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101639462 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2169-3536 (Print) Linking ISSN: 21693536 NLM ISO Abbreviation: IEEE Access Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 34868797
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: On the Identification of Noise Covariances and Adaptive Kalman Filtering: A New Look at a 50 Year-Old Problem.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA.<br /><searchLink fieldCode="AU" term="%22Sidoti+D%22">Sidoti D</searchLink>; U.S. Naval Research Laboratory, Marine Meteorology Division, Monterey, CA 93943, USA.<br /><searchLink fieldCode="AU" term="%22Bienkowski+A%22">Bienkowski A</searchLink>; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA.<br /><searchLink fieldCode="AU" term="%22Pattipati+KR%22">Pattipati KR</searchLink>; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA.<br /><searchLink fieldCode="AU" term="%22Bar-Shalom+Y%22">Bar-Shalom Y</searchLink>; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA.<br /><searchLink fieldCode="AU" term="%22Kleinman+DL%22">Kleinman DL</searchLink>; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101639462%22">IEEE access : practical innovations, open solutions</searchLink> [IEEE Access] 2020; Vol. 8, pp. 59362-59388. <i>Date of Electronic Publication: </i>2020 Mar 23.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Institute+of+Electrical+and+Electronics+Engineers%22">Institute of Electrical and Electronics Engineers </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101639462 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2169-3536 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221693536%22">21693536 </searchLink><i>NLM ISO Abbreviation: </i>IEEE Access <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34868797
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/access.2020.2982407
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 59362
    Titles:
      – TitleFull: On the Identification of Noise Covariances and Adaptive Kalman Filtering: A New Look at a 50 Year-Old Problem.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhang L
      – PersonEntity:
          Name:
            NameFull: Sidoti D
      – PersonEntity:
          Name:
            NameFull: Bienkowski A
      – PersonEntity:
          Name:
            NameFull: Pattipati KR
      – PersonEntity:
          Name:
            NameFull: Bar-Shalom Y
      – PersonEntity:
          Name:
            NameFull: Kleinman DL
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: 2020
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-print
              Value: 2169-3536
          Numbering:
            – Type: volume
              Value: 8
          Titles:
            – TitleFull: IEEE access : practical innovations, open solutions
              Type: main
ResultId 1