DocumentCode
1023540
Title
Distributed filtering using set models
Author
Hong, Lang
Author_Institution
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Volume
28
Issue
4
fYear
1992
fDate
10/1/1992 12:00:00 AM
Firstpage
1144
Lastpage
1153
Abstract
A distributed filtering algorithm using set models with confidence values is derived. No noise distribution statistics are needed. The only information required is the confidence values from which the modeling and measurement errors and the initial values are obtained. Therefore, the algorithm has great potential for real-world applications
Keywords
estimation theory; filtering and prediction theory; set theory; signal processing; distributed filtering algorithm; set models; Distributed algorithms; Error analysis; Filtering algorithms; Filters; Measurement errors; Smoothing methods; Statistical distributions; Statistics; Stochastic processes;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.165375
Filename
165375
Link To Document