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Modified prediction partitioning algorithm for Gaussian inverse Wishart probability hypothesis densi...

Modified prediction partitioning algorithm for Gaussian inverse Wishart probability hypothesis densi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_643720d7166e4d389f136214342efde7

Modified prediction partitioning algorithm for Gaussian inverse Wishart probability hypothesis density filter using measurement labeling method

About this item

Full title

Modified prediction partitioning algorithm for Gaussian inverse Wishart probability hypothesis density filter using measurement labeling method

Publisher

London, England: SAGE Publications

Journal title

Journal of algorithms & computational technology, 2021-09, Vol.15

Language

English

Formats

Publication information

Publisher

London, England: SAGE Publications

More information

Scope and Contents

Contents

The Gaussian inverse Wishart probability hypothesis density filter is a promising approach for tracking multiple extended targets. However, if targets are closely spaced and performing maneuvers, the performance of a Gaussian inverse Wishart probability hypothesis density filter will decline. The reason for this is that the measurement partitioning...

Alternative Titles

Full title

Modified prediction partitioning algorithm for Gaussian inverse Wishart probability hypothesis density filter using measurement labeling method

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_643720d7166e4d389f136214342efde7

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_643720d7166e4d389f136214342efde7

Other Identifiers

ISSN

1748-3018

E-ISSN

1748-3026

DOI

10.1177/17483026211031154

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