Singular Spectrum Analysis of Bistatic Tracks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F19%3A00334129" target="_blank" >RIV/68407700:21110/19:00334129 - isvavai.cz</a>
Result on the web
<a href="http://spsympo.ise.pw.edu.pl" target="_blank" >http://spsympo.ise.pw.edu.pl</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SPS.2019.8881969" target="_blank" >10.1109/SPS.2019.8881969</a>
Alternative languages
Result language
angličtina
Original language name
Singular Spectrum Analysis of Bistatic Tracks
Original language description
In Multi-Static Primary Surveillance Radar (MSPSR) target tracking, one of the crucial issues is to determine whether track represents Target of Interest (TOI). However so far a consistent approach to such track classification has not been presented yet. The literature describes many track score based methods of only false track elimination or evaluation based on metrics, but many of these require a proper reference (ground truth) which is usually not available. In this paper, we present a new approach to bistatic track classification based on its trajectory Singular Spectrum Analysis (SSA). SSA of track trajectory allows us to gain extra knowledge about track nature. We describe such an analysis using four real datasets covering measurements of diverse target types and show that the analysis of singular spectrum allows us to distinguish TOI tracks from the others. We expect various applications of this type of analysis and discuss possible extensions in conclusion.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2019 Signal Processing Symposium (SPSympo)
ISBN
978-1-5090-6755-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
76-80
Publisher name
University of Warsaw
Place of publication
Warsaw
Event location
Krakow
Event date
Sep 17, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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