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.
In this paper, sparsity-promoting sensor selection algorithms for target tracking with quantized data are developed. We formulate sensor selection as an optimization problem that aims to strike a balance between estimation accuracy and the number of selected sensors. To cope with sensor selection problems in large-scale wireless sensor networks (WSNs), we propose a fast centralized optimization algorithm...
The tracking of spatial target based on bearing-only measurements belongs to the strong nonlinear filtermodel. The uncertainty of the statistical characteristics of noise, caused by complicated space environment, leads to reduced accuracy of traditional methods. To improving the accuracy, a new method, Fuzzy Square-root Cubature Kalman Filter (FS-CKF), was presented by combining possibility techniques...
With the merits as far responding distance, hiding receiving and easy-deploying, the single observation passive location has a broad application in military domain and plays an important part in passive radar, navigation and aerospace, etc. With the information of phase-difference, phase-difference rate of change and Doppler frequency rate of change, a new algorithm called PFRC, based on EKF, is proposed...
The particle filtering (PF) is a recursive sub-optimal Bayesian estimator. The multiple model particle filtering (MMPF) has been proposed for tracking a maneuvering target. In a cluttered environment, probabilistic data association (PDA) is incorporated into MMPF to overcome the measurement-origin uncertainty. While the particle filtering is fairly easy to implement, its main drawback is that it is...
The single observation passive location is the technique used by a single observation to determine the position and velocity of an emitter from the electromagnetic wave emitted by a target. The key point is how to obtain the position and the velocity of the emitter with high speed and precision. Up to now, two popular passive location methods have been put forward. They are Bearing-only (BO) and phase-difference...
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.