Title :
Distributed filtering using set models
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
fDate :
10/1/1992 12:00:00 AM
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
