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Cited 1 time in webofscience Cited 2 time in scopus
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Information filters with reduced data storage for out-of-sequence measurements update

Authors
Kim, Tae HanSong, Taek LyulKim, Hyung June
Issue Date
Jul-2016
Publisher
INST ENGINEERING TECHNOLOGY-IET
Keywords
information filters; target tracking; information filters; reduced data storage; out-of-sequence measurements update; target tracking-fusion applications; OOSM information filter state; storage requirements
Citation
IET RADAR SONAR AND NAVIGATION, v.10, no.6, pp.1038 - 1045
Indexed
SCIE
SCOPUS
Journal Title
IET RADAR SONAR AND NAVIGATION
Volume
10
Number
6
Start Page
1038
End Page
1045
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/22947
DOI
10.1049/iet-rsn.2015.0269
ISSN
1751-8784
Abstract
In target tracking/fusion applications, the measurements often do not become available in the order of measurement times. Out of sequence measurements (OOSMs) are used to update state estimates for the current' time, using measurements from previous measurement times. The authors propose information filter-based OOSM update solution(s), which forward propagate the OOSMs information filter state. This allows tradeoffs between estimation performance and storage requirements.
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서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles

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