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.
The paper deals with the localization of mobile robot using the bearing only beacons as the only source of sensor data. The localization is based on Extended Kalman Filter. Derivation of localization algorithm is given together with test results for both simulation and real robot equipped with low cost sensor hardware. Beacons use infrared LEDs detected by the receiver on the robot and position estimator...
By combining a low-order model of forecast errors, the extended Kalman filter, and classical continuous optimization, we develop an integrated methodology for planning mobile sensor paths to sample continuous fields. Agent trajectories are developed that specifically take into account the fact that data collected will be used for near real-time assimilation with large predictive models. This aspect...
In passive coherent radar tracking using external illuminator as transmitters, the traditional extended Kalman filter (EKF) is adopted frequently, but the tracking performance is affected seriously by the glint noise in practice. To solve this problem, a novel passive coherent radar tracking method is proposed based on particle filter (PF) and only time difference of arrival (TDOA) measurements. This...
The objective of this paper is to compare the performance of the proposed measurement assisted partial resampling (MAPR) particle filter against the performance of the extended Kalman filter (EKF) within the context of a dynamic 6 DoF hydrodynamic system. In order to compare the respective performances of the above two filters in resolving a navigation solution, the filters are given a trajectory...
An ordinary differential equation technique is developed via averaging theory and weak convergence theory to analyze the asymptotic behavior of continuous time recursive stochastic parameter estimators. This technique is an extension of L. Ljung's work in discrete time. Using this technique, the following results are obtained for various continuous time parameter estimators. The recursive prediction...
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.