A Nested Ensemble Filtering Approach for Parameter Estimation and Uncertainty Quantification of Traffic Noise Models

A Nested Ensemble Filtering Approach for Parameter Estimation and Uncertainty Quantification of Traffic Noise Models

In this study, a nested ensemble filtering (NEF) approach is advanced for uncertainty parameter estimation and uncertainty quantification of a traffic noise model. As an extension of the ensemble Kalman filter (EnKF) and particle filter methods, the proposed NEF method improves upon the ensemble Kal...

Full description

Bibliographic Details
Main Authors: Kai Huang, Yurui Fan, Liming Dai
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Applied Sciences
Subjects:
traffic noise
prediction
ensemble kalman filter
particle filter
uncertainty
Online Access:https://www.mdpi.com/2076-3417/10/1/204

Internet

https://www.mdpi.com/2076-3417/10/1/204

Similar Items