A robust fusion estimation with unknown cross-covariance in distributed systems
Abstract An efficient robust fusion estimation (RFE) for distributed fusion system without knowledge of the cross-covariances of sensor estimation errors is suggested. With the hypothesis that the object lying in the intersection of some ellipsoids related to sensor estimations, the robust fusion es...
Main Authors: | Duzhi Wu, Aiping Hu |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-09-01
|
Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13634-019-0640-6 |
Similar Items
-
Distributed Robust Dimensionality Reduction Fusion Estimation Under DoS Attacks and Uncertain Covariances
by: Meng Xu, et al.
Published: (2021-01-01) -
Sensor Modalities and Fusion for Robust Indoor Localisation
by: Michał Kozłowski, et al.
Published: (2019-12-01) -
Distributed Multisensor Data Fusion under Unknown Correlation and Data Inconsistency
by: Muhammad Abu Bakr, et al.
Published: (2017-10-01) -
A Robust Adaptive Unscented Kalman Filter for Nonlinear Estimation with Uncertain Noise Covariance
by: Binqi Zheng, et al.
Published: (2018-03-01) -
Multi-Sensor Fusion Positioning Method Based on Batch Inverse Covariance Intersection and IMM
by: Yanxu Liu, et al.
Published: (2021-05-01)