Singular Spectrum Analysis of Bistatic Tracks

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Singular Spectrum Analysis of Bistatic Tracks

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Singular Spectrum Analysis of Bistatic Tracks

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2019 Signal Processing Symposium (SPSympo)

ISBN

978-1-5090-6755-8

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

76-80

Název nakladatele

University of Warsaw

Místo vydání

Warsaw

Místo konání akce

Krakow

Datum konání akce

17. 9. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—