A Novel Nonlinear Algorithm for Non-Gaussian Noises and Measurement Information Loss in Underwater Navigation

A Novel Nonlinear Algorithm for Non-Gaussian Noises and Measurement Information Loss in Underwater Navigation

The ocean environment is complex and changeable because of all kinds of noise interferences, such as salt cliffs, ships around and other electromagnetic interferences, so the measurement information is prone to be lost. It is difficult to describe the complex noise and the acquisition probability of...

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Bibliographic Details
Main Authors: Haoqian Huang, Jiacheng Tang, Bo Zhang, Jianfeng Chen, Jiajin Zhang, Xiang Song
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Non-Gaussian noises
nonlinear integral
measurement information loss
heavy-tailed noises
student <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">t</italic> distribution
variational Bayesian
Online Access:https://ieeexplore.ieee.org/document/9125939/

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https://ieeexplore.ieee.org/document/9125939/

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