Unbiased minimum-variance linear state estimation

✍ Scribed by Peter K. Kitanidis

• Publisher: Elsevier Science
• Year: 1987
• Tongue: English
• Weight: 366 KB
• Volume: 23
• Category: Article
• ISSN: 0005-1098
• DOI: 10.1016/0005-1098(87)90037-9

✦ Synopsis

A method is developed for linear estimation in the presence of unknown or highly non-Gaussian system inputs. The state update is determined so that it is unaffected by the unknown inputs. The filter may not be globally optimum in the mean square error sense. However, it performs well when the unknown inputs take extreme or unexpected values. In many geophysical and environmental applications, it is performance during these periods which counts the most. The application of the filter is illustrated in the real-time estimation of mean areal precipitation.