Using the Kalman filter to integrate GPS and IMU data in noisy environments

The article deals with the problem of improving the accuracy and reliability of navigation systems that use the integration of GPS and IMU data in a noisy environment. The main task is to reduce errors arising from the periodic absence of GPS and noise in IMU measurements. To solve this problem, we...

書誌詳細
出版年:	Технічна інженерія
主要な著者:	Ye.B. Artamonov, A.K. Zhultynska, T.I. Zaloznyi, A.V. Radchenko, K.M. Radchenko
フォーマット:	論文
言語:	英語
出版事項:	Zhytomyr Polytechnic State University 2024-12-01
主題:	kalman filter gps imu navigation systems positioning accuracy
オンライン･アクセス:	http://ten.ztu.edu.ua/article/view/319109

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