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 problem of tracking objects moving in Cartesian space with sensors delivering polar measurements has been under investigation of several researchers for quite some time now. Different proposals for using measurement conversion techniques in combination with a linear Kalman filter have been made in order to reduce the range bias that shows up in the filter estimates when a Cartesian pseudo-measurement...
Fusing out-of-sequence information is a very important problem for multi-sensor target tracking systems. The challenge is in dealing with measurements that arrive from the various sensors at a central processor out-of-sequence; that is, signals arriving with a measurement relating to a time previous to the time of the current state. The problem of how to deal with these updates has received much attention...
Over the past several years, the NATO Undersea Research Centre has conducted extensive research in multisensor networks for undersea surveillance, culminating in the development of the DMHT tracker. In this paper, we discuss upgrades to this technology and its application to maritime surveillance.
Uncertainty makes the analysis of even simple situations difficult. It forces situation analysts to formulate and manage hypotheses during the construction of the explicit representations of the real world situations. Because of human cognitive limitations, this may quickly become overwhelming, even for the most experienced and capable analysts. In an attempt to provide better support systems, this...
A model for characterizing communications behaviors has been generalized to a probabilistic model for intentional behavior. Responsive actions are decomposed into measurement, inference, planning and control components) and are predicted as a function of the estimated capability, opportunity and intent of given agents to perform such component actions. This representational scheme enables the generation...
The interacting multiple model (IMM) algorithm is a widely accepted state estimation scheme for solving maneuvering target tracking problems, which are generally nonlinear. During the IMM filtering process, serious errors can arise when a Gaussian mixture of posterior probability density functions is approximated by a single Gaussian. Particle filters (PFs) are effective in dealing with nonlinearity...
In this paper, a method based on maximum likelihood to estimate the target true height in 2-D radar network is presented, and it is mathematically proved that the estimator is unbiased The Cramer-Rao low bound (CRLB) of estimation error is also derived Some conclusions are drawn based on simulations. It's concluded that the bearing error only has a bounded influence on CRLB, however, the influence...
In this paper a novel multiple model particle filter algorithm for tracking ground targets on constrained paths is developed The algorithm is designed to let the different modes be represented by constrained likelihood models, whereas the state dynamics are the same for all models. The mixing procedure is performed over the likelihood models and the mixing parameters are calculated in a standard interacting...
In this paper we will consider several algorithms for tracking closely spaced objects. In particular we will concentrate on various particle filter implementations. One particular problem when using a joint multi target particle filter is the so-called mixed labelling problem. This problem amounts to the fact that different particles will have a different labelling w.r.t. target identity. The combination...
This paper presents a new probabilistic approach to determine survivability of reconfigurable systems as a system-level performance metric in an operational environment. In contrast to known methods of estimating survivability in terms of susceptibility and vulnerability, the proposed method (1) includes directional threats on various subsystems into the analysis and (2) provides a framework for operational...
The paper addresses the problem of target-tracking in tactical military surveillance operations. More specifically, a closed-loop approach to adapt the sensing and tracking operations is proposed and compared to the conventional open-loop and static approach. The objective is to control and maintain, over a certain volume of interest and by way of clustering and scheduling strategies, the level of...
This paper discusses the application of holonic control paradigm to sensor management in military surveillance operations. Sensor management is described both as part of the data fusion process and as a control problem. The choice of holonic control as the most adequate architecture for sensor management in the military environment is explained and its application to surveillance operations illustrated...
The goal of this panel discussion is to identify key technical issues for information fusion at both lower and higher levels, and promising agent-based development approaches. Currently there are high expectations in the industrial, military, and business fusion communities that agent technologies can provide insights into and solutions for some of the most complex problems. Moreover, such expectations...
This panel position paper discusses advantages and challenges of multi agent fusion systems (MAS) with respect to the modeling flexibility and fusion reliability. We argue that the MAS paradigm in combination with rigorous modeling and inference methods can facilitate design of theoretically and technically sound fusion systems. This is illustrated with the help of a MAS approach to Bayesian fusion...
A model for characterizing communications behaviors has been generalized to a probabilistic model for intentional behavior. Responsive actions are decomposed into measurement, inference, planning and control components) and are predicted as a function of the estimated capability, opportunity and intent of given agents to perform such component actions. This representational scheme enables the generation...
This paper presents our work which involves the application of a recursive Bayesian filter, the Gaussian mixture probability hypothesis density (GMPHD) filter, to a visual tracking problem. Foreground objects are detected using statistical background modeling to obtain measurements which are input into the filter. The GMPHD filter explicitly models the birth, survival and death of objects by managing...
This paper considers the recursive estimation of emitter location using time difference of arrival measurements formed by the correlation of signals received by two unmanned aerial vehicles. The time difference of arrival measurement defines an hyperbola of possible emitter locations. This hyperbola is used as a measurement in a nonlinear Alter. The performance of two such filters, an extended Kalman...
This work presents the results of a research activity to establish a framework in which a human operator can perform track-to-track fusion to produce a recognized maritime picture in support of maritime domain awareness. The work consists of three elements: 1) establishing the environment in which the operator will conduct the track-to-track fusion, 2) establish metrics that can be used to evaluate...
This paper considers the use of the Hough transform image processing method applied to the problem of agent-based multi-platform, multi-sensor emitter geolocation. In this paper, improved geolocation is obtained through the fusion of three different types of measurement: angle of arrival, time difference of arrival and frequency difference of arrival. One of the main aims of this paper is to introduce...
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.