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.
This paper presents an exact Bayesian filtering solution for the multiobject tracking problem with the generic observation model. The proposed solution is designed in the labeled random finite set framework, using the product styled representation of labeled multiobject densities, with the standard multiobject transition kernel and no particular simplifying assumptions on the multiobject likelihood...
This paper addresses the dim target tracking problem with respect to the multi-frame detection (MFD). Generally, the MFD strategy implicitly merges the tracking stage into its framework, by which the estimated target trajectory can be simultaneously returned when a target is declared. However, due to the batch processing manner of MFD, such products, essentially, are short state sequences in time...
The paper addresses the problem of tracking multiple highly dynamic targets. The Vo-Vo filter (also known as Generalized Labeled Multi-Bernoulli or GLMB filter) is an attractive approach which possesses useful analytical properties and is a closed form solution to the Bayes multi-target filter. However, Vo-Vo filter with a fixed motion model is not general enough to accommodate maneuvering targets...
In this paper, we are devoted to the labeled multi-object tracking problem for generic observation model (GOM) in the framework of Finite set statistics. Firstly, we derive a product-labeled multi-object (P-LMO) filter which is a closed form solution to labeled multi-object Bayesian filter under the standard multi-object transition kernel and generic multi-object likelihood, and thus can be used as...
The paper addresses the problem of multi-sensor control for multi-target tracking via labelled random finite sets (RFS) in the sensor network systems. Based on an information theoretic divergence measure, namely Cauchy-Schwarz (CS) divergence which admits a closed form solution for generalized labeled multi-Bernoulli (GLMB) densities, we propose two novel multi-sensor control approaches in the framework...
In this paper, we propose a new class of random finite set (RFS), which is the union of a group of Bernoulli RFSs with unknown level of correlation, whose statistics are considered jointly. The proposed RFS is referred to as joint multi-Bernoulli (JMB) RFS defined by a set of parameters. As a preliminary study, this paper provides the derivations of set density, set marginal density of JMB RFS family,...
Dynamic programming based track before detect (DP-TBD) is a batch processing method. It exploits the space-time correlation among several consecutive frames of measurements and jointly processes all the measurements in these frames. Due to this batch processing manner, DP-TBD suffers heavy computational load since it involves processing a large volume of data. Moreover, in order to track long continuous...
The meteor trail interference worsens the performance of the sky wave OTHR. The interference greatly reduce target detection capability. An approach based on Gabor coefficient and binary hypothesis to restrain the meteor trail interference is developed in this paper. The approach is used to process the real measurement data of a Chinese sky wave radar and show effectiveness.
In through-wall-radar imaging (TWRI), this paper presents a fast wall compensation algorithm to deal with the problem of image defocusing and displacement of the target behind multiple parallel and equivalent walls in the case of the known wall parameters including thickness and relative permittivity. Based on the Snell law, we combine these walls into a virtual wall by translating the second wall...
This paper deals with the problem of simultaneously detecting and tracking multiple maneuvering targets. The multitarget, multi-Bernoulli (MeMber) filter based track-before-detect (TBD) is an attractive approach to detect and track targets at low signal-to-noise (SNR). However, MeMber-TBD with a fixed motion model is not general enough to accommodate maneuvering targets. In this paper, a new MeMber...
The effects of velocity change, refraction and absorption all must be considered for through-the-wall radar, which can displace the target and defocus in imaging. Based on signal propagation model in presence of the wall and the system concept, the relationship is obtained among the transmit signal, target position and the wall transfer function. In this paper, we will present a method to estimate...
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.