@inproceedings{86e39cdc108d4851bf573dc4e4635b2c,
title = "Application of Kalman Filter in Fine Alignment of INS Assisted by Magneto Sensors",
abstract = "Inertial Navigation systems (INS) combined with other navigational aids such a magneto sensor is used to provide orientation solution are introduced to improve performance on INS initial alignment. Even though INS alone can compute the position of a certain vehicle without assistance from another instance. It is well known that INS contain drift error in its navigation solution. The experiment results were obtained from an IMU in stationary condition and rotating it for a certain degree and direction and then simulated using MATLAB. The results obtained demonstrate improvement in heading angle provided when both INS and magneto sensors are integrated using the Kalman Filter.",
keywords = "Inertial navigation system, Kalman filter, fine alignment, magneto sensor",
author = "Kadir, {Rusdhianto Effendi Abdul} and Mochammad Sahal and Gaung Jagad and Achmad Jazidie and Zulkifli Hidayat",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020 ; Conference date: 22-07-2020 Through 23-07-2020",
year = "2020",
month = jul,
doi = "10.1109/ISITIA49792.2020.9163763",
language = "English",
series = "Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "292--298",
booktitle = "Proceedings - 2020 International Seminar on Intelligent Technology and Its Application",
address = "United States",
}