Sigma-Point Particle Filter for Parameter Estimation in a Multiplicative Noise Environment
A pre-requisite for the “optimal estimate” by the ensemble-based Kalman filter (EnKF) is the Gaussian assumption for background and observation errors, which is often violated when the errors are multiplicative, even for a linear system. This study first explores the challenge of the multiplicative...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2011-12-01
|
Series: | Journal of Advances in Modeling Earth Systems |
Subjects: | |
Online Access: | http://www.agu.org/journals/ms/ms1112/2011MS000065/ |