Paper Info
Title
A Maximum Correntropy Divided Difference Filter for Cooperative Localization.
Abstract
This paper derives a new maximum correntropy divided difference filter (DDF) to address the heavy-tailed measurement noise induced by non-Gaussian measurements in cooperative localization of autonomous underwater vehicles. By integrating the advantages of both the DDF and the maximum correntropy criterion, the proposed filter exhibits localization accuracy and robustness to address the heavy-tailed impulsive noise. The proposed maximum correntropy DDF has been tested through a lake trial. Experimental results indicate the superior performance of the proposed algorithm.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2859391
IEEE ACCESS
Keywords
Field
DocType
Maximum correntropy,divided difference filter,cooperative localization,autonomous underwater vehicles,outliers,nonlinear systems
Kernel (linear algebra),Noise measurement,Computer science,Algorithm,Robustness (computer science),Underwater,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Chengjiao Sun110.69
Yonggang Zhang28716.11
Guoqing Wang37517.84
Wei Gao401.69