Time Convolutional Network-Based Maneuvering Target Tracking with Azimuth-Doppler Measurement
Time Convolutional Network-Based Maneuvering Target Tracking with Azimuth-Doppler Measurement
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
In the field of maneuvering target tracking, the combined observations of azimuth and Doppler may cause weak observation or non-observation in the application of traditional target-tracking algorithms. Additionally, traditional target tracking algorithms require pre-defined multiple mathematical models to accurately capture the complex motion state...
Alternative Titles
Full title
Time Convolutional Network-Based Maneuvering Target Tracking with Azimuth-Doppler Measurement
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_86660b40aeed42cab369f1344a952258
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_86660b40aeed42cab369f1344a952258
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24010263
