Detailed Information
Cited 1 time in 
Cited 2 time in 
Cited 2 time in
Metadata Downloads
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
- Institution of Engineering and Technology
- 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
- Pages
- 8
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- IET Radar, Sonar and Navigation
- Volume
- 10
- Number
- 6
- Start Page
- 1038
- End Page
- 1045
- ISSN
- 1751-8784
1751-8792
- 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.