Data (Non-Gaussian Noises and Measurement Information Loss)

Name: Data (Non-Gaussian Noises and Measurement Information Loss)
Creator: Huang, Haoqian
Published: 2020-05-18T00:00:00+08:00

IEEE2020-05-18 更新2026-04-17 收录

数据链接：

https://ieee-dataport.org/documents/data-non-gaussian-noises-and-measurement-information-loss 数据链接链接失效反馈

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资源简介：

Data (Non-Gaussian Noises and Measurement Information Loss)

提供机构：

Huang, Haoqian

创建时间：

2020-05-18

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鲁棒卡尔曼滤波

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惯性对准算法

A novel coarse alignment algorithm based on vector observation and truncated vectorized κ-matrix is proposed. These data is used to test the performance of the proposed alignment method.

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变分贝叶斯

1. The complex noises underwater leads to more errors for the velocities measurements of AUV so that it is difficult to determine the accurate navigation and positioning information.The novel ariation

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In-Motion Initial Alignment Method Based on Vector Observation and Truncated Vectorized K-matrix for SINS

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动基座姿态确定

These data is used to test the performance of the proposed in-motion inital alignment method. These data includes the raw data of inertial measurement units, the raw data of GPS and the reference

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Data (Non-Gaussian Noises and Measurement Information Loss)

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