The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Because noise error and measurement error exist in the control of sensor data, using acceleration transducer and gyroscope separately cannot obtain the optimal posture angle. In order to solve this problem, a self-adaptive fusion estimation algorithm for multi-information measurement based on neural networks has been presented, which used the self-adaptive ability of neural networks to make real-time...
In view of the noise and measurement errors of sensors, the data in attitude information measurement system should be filtered. Based on the previous algorithm Kalman filtering, this paper proposes a more effective algorithm using particle filtering to solve the problem of accuracy appearing in Kalman filtering. Using Bayes theory, the estimate of the state of a system is accomplished by computation...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.