Improved initial alignment algorithm of SINS on shaking base based on Kalman filter-Reference-Cited by-同舟云学术

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Improved initial alignment algorithm of SINS on shaking base based on Kalman filter

Published:2022-10-12 Issue: Volume: Page:
ISSN:
Container-title:2022 Sensor Data Fusion: Trends, Solutions, Applications (SDF)
language:
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Author:

Shi Ling-Feng¹,Hou Zhi-Yong¹,Shi Yifan²,Liu Lushi³

Affiliation:

1. Institute of Electronic CAD, Xidian University,Xi'an,Shaanxi,China,710071

2. Queen's University,Department of Mechanical and Material Engineering,Kingston,ON,Canada,K7L 2N8

3. University of Stuttgart,Department of Aerospace Engineering,Stuttgart,BW,Germany,70569

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9931694/9931695/09931955.pdf?arnumber=9931955

Reference21 articles.

1. Study on Innovation Adaptive EKF for In-Flight Alignment of Airborne POS

2. A Computationally Efficient Variational Adaptive Kalman Filter for Transfer Alignment

3. An Improved Real-Time Transfer Alignment Algorithm Based on Adaptive Noise Estimation for Distributed POS

4. Expectation Maximization Based GPS/INS Integration for Land-Vehicle Navigation

5. A New Adaptive Extended Kalman Filter for Cooperative Localization

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