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.
Space debris poses great challenge for the safe operation of spacecraft. This paper addresses the problem of distributed space debris tracking with consensus Labeled Multi-Bernoulli filtering. Sensor network of nodes with sensing, processing and communication capabilities is used to track space debris. Labeled Multi-Bernoulli filtering is used as the tracking filter. Data incest problem is solved...
Space debris tracking is of great importance for safe operation of spacecraft. This paper presents an algorithm that achieves global tracking of space debris with a multi-sensor network. The sensor network has unknown and possibly time-varying topology. A consensus algorithm is used to effectively counteract the effects of data incest. Gaussian Mixture-Cardinalized Probability Hypothesis Density (GM-CPHD)...
This paper addresses the problem of multi-sensor multi-target tracking. The main contribution is an efficient implementation of the multi-sensor δ-Generalized labeled Multi-Bernoulli (δ-GLMB) update. To truncate the weighted sums of the multi-target exponentials, the ranked assignment algorithm is used in the update to determine the most important terms without computing all the terms. Simulation...
This paper proposes an algorithm for distributed space debris tracking over a network of sensors with processing and communication capabilities. A dynamic model was used to propagate precise orbital trajectories of space debris. Gaussian Mixture-Cardinality Probability Hypothesis Density (GMCPHD) was used to estimate the state of known and previously unknown space debris. Data incest is a common problem...
The generalized labeled multi-Bernoulli filter, or Vo-Vo filter, is the optimal Bayes solution to the multi-target tracking problem. Conceptually extension of this solution to the multi-sensor case is straightforward. However, implementation of the multi-sensor generalized labeled multi-Bernoulli filter is nontrivial. In this paper, we discuss a number of implementation strategies for the multi-sensor...
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.