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.
Due to the log-normal model of the received signal strength(RSS), the range measurements have variance proportional to their actual range, and so this results in degradation of the tracking performance with the range increasing. To deal with this problem, we consider the collaborative tracking procedure in a cluster as a Markov jump nonlinear system, and the design the interacting multiple sensor...
Due to limited sensing range for sensors, moving object tracking has to be realized by relaying from one sensor to the other in sensor networks, and so the tracking procedure can be modelled as a Markov chain system. Based on the Bayesian theory, we propose the relaying Kalman filter(RKF) algorithm which introduce the equations of updating sensor probability, and reconstruct the innovation equation...
Due to limited sensing range for sensor nodes, moving object tracking has to be realized by relaying from one node to the other in a cluster. By taking object tracking in a fixed cluster as a Markov jump nonlinear system, the interacting multiple sensor unscented Kalman filter(IMSUKF) algorithm is designed to deal with distributed tracking. The proposed method can be divided into two parts: one-step...
Aiming to the problems of vehicle's vanishing in short time and completely occlusion in complex traffic scenes, we proposed a method with region matching based on Kalman forecasting model to forecast and track the vehicle's moving state. Firstly, the observation parameters such as centroid and block size of moving vehicle region are abstracted, and region models can be built for every vehicle. Secondly,...
Most analyses of induction motor drives make use of a conventional T-form of equivalent circuit. This model is actually more complex than necessary for analysis in the linear regime. On the other hand, it is inadequate for use when the machine parameters are changed. Inverse Gamma model is simple model for induction motor, and is particularly appropriate for analysis of vector control. A research...
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.