On the Identification of Noise Covariances and Adaptive Kalman Filtering: A New Look at a 50 Year-Old Problem.
Saved in:
| Title: | On the Identification of Noise Covariances and Adaptive Kalman Filtering: A New Look at a 50 Year-Old Problem. |
|---|---|
| Authors: | Zhang L; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA., Sidoti D; U.S. Naval Research Laboratory, Marine Meteorology Division, Monterey, CA 93943, USA., Bienkowski A; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA., Pattipati KR; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA., Bar-Shalom Y; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA., Kleinman DL; Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA. |
| Source: | IEEE access : practical innovations, open solutions [IEEE Access] 2020; Vol. 8, pp. 59362-59388. Date of Electronic Publication: 2020 Mar 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101639462 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2169-3536 (Print) Linking ISSN: 21693536 NLM ISO Abbreviation: IEEE Access Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2169-3536 |
|---|---|
| DOI: | 10.1109/access.2020.2982407 |
