Information filters with reduced data storage for out-of-sequence measurements update
- Authors
- Kim, Tae Han; Song, Taek Lyul; Kim, 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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Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
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