An order insensitive optimal generalised sequential fusion estimation for stochastic uncertain multi‐sensor systems with correlated noise
Abstract The globally optimal generalised sequential fusion (GSF) algorithm in the sense of linear minimum variance for multi‐sensor stochastic uncertain systems is investigated by the authors. Specifically, in the GSF algorithm, the estimation of measurement noise is considered, and ma (ma ≥ 1) sen...
Saved in:
Main Authors: | Dejin Wang, Zhongxin Liu, Zengqiang Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-05-01
|
Series: | IET Signal Processing |
Subjects: | |
Online Access: | https://doi.org/10.1049/sil2.12217 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automated Prognostics and Diagnostics of Railway Tram Noises Using Machine Learning
by: Junhui Huang, et al.
Published: (2024-01-01) -
Exploring the Side-Information Fusion for Sequential Recommendation
by: Seunghwan Choi, et al.
Published: (2025-01-01) -
Dynamic of seismic noise sources in the Mediterranean Sea: implication for monitoring using noise correlations
by: Stehly, Laurent, et al.
Published: (2024-05-01) -
The mean and noise of stochastic gene transcription with cell division
by: Qi Wang, et al.
Published: (2018-09-01) -
REVIEW ON THE ROAD TRAFFIC NOISE ASSESSMENT
by: ALINA PETROVICI, et al.
Published: (2016-03-01)