Fast tracking and noise-immunised RLS algorithm based on Kalman filter
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Eom, Kwang-Seop | ko |
| dc.contributor.author | Jun, Byung-Eul | ko |
| dc.contributor.author | Park, Dong-Jo | ko |
| dc.date.accessioned | 2013-03-02T12:35:14Z | - |
| dc.date.available | 2013-03-02T12:35:14Z | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.issued | 1996-12 | - |
| dc.identifier.citation | ELECTRONICS LETTERS, v.32, no.25, pp.2311 - 2312 | - |
| dc.identifier.issn | 0013-5194 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/73542 | - |
| dc.description.abstract | A new least-squares algorithm based on the Kalman filter is presented. The algorithm has a self-perturbing term added to the covariance matrix, which keeps the gain vector from going infinitely small. It not only has a fast tracking capability, but also is immunised against measurement noise. The effectiveness of the algorithm are confirmed through computer simulations. | - |
| dc.language | English | - |
| dc.publisher | IEE-INST ELEC ENG | - |
| dc.title | Fast tracking and noise-immunised RLS algorithm based on Kalman filter | - |
| dc.type | Article | - |
| dc.identifier.wosid | A1996WT31200015 | - |
| dc.identifier.scopusid | 2-s2.0-0030571346 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 32 | - |
| dc.citation.issue | 25 | - |
| dc.citation.beginningpage | 2311 | - |
| dc.citation.endingpage | 2312 | - |
| dc.citation.publicationname | ELECTRONICS LETTERS | - |
| dc.contributor.localauthor | Park, Dong-Jo | - |
| dc.contributor.nonIdAuthor | Eom, Kwang-Seop | - |
| dc.contributor.nonIdAuthor | Jun, Byung-Eul | - |
| dc.type.journalArticle | Article | - |
| dc.subject.keywordAuthor | Kalman filters | - |
| dc.subject.keywordAuthor | least squares approximations | - |
| dc.subject.keywordAuthor | signal processing | - |
- Appears in Collection
- EE-Journal Papers(저널논문)
- Files in This Item
- There are no files associated with this item.
This item is cited by other documents in WoS
| ⊙ Detail Information in WoSⓡ | Click to see |  |
| ⊙ Cited 1 items in WoS | Click to see citing articles in |  |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.