Adaptive Kalman Filter Tuning in Integration of Low-Cost MEMS-INS/GPS-Reference-Cited by-同舟云学术

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Adaptive Kalman Filter Tuning in Integration of Low-Cost MEMS-INS/GPS

Published:2004-06-22 Issue: Volume: Page:
ISSN:
Container-title:AIAA Guidance, Navigation, and Control Conference and Exhibit
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Author:

Basil Helen¹,Anathasayanam M.²,Puri S.³

Affiliation:

1. ISRO Satellite Center

2. Indian Institute of Science

3. Thiruvananthapuram

Publisher

American Institute of Aeronautics and Astronautics

Link

http://arc.aiaa.org/doi/pdf/10.2514/6.2004-5122

Reference8 articles.

1. 3Candy,J.V.`SignalProcessing-ThemodelbasedApproach',McGrawHill co.,NewYork(1986)

2. Adaptive sequential estimation with unknown noise statistics

3. Importance of initial state covariance matrix for the parameter estimation using an adaptive extended Kalman filter

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive Fuzzy Control Algorithm for an Integrated Navigation of SINS and the Odometer;Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems;2016

2. Real-Time Tuning Unscented Kalman Filter for a Redundant Attitude Estimator in Microsatellites;TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES;2013

3. A new adaptive estimation method of spacecraft thermal mathematical model with an ensemble Kalman filter;Acta Astronautica;2012-04

4. Double-filter model with modified Kalman filter for baseband signal pre-processing with application to ultra-tight GPS/INS integration;GPS Solutions;2012-01-03

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