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In the context of electronic support measures, the use of the Dempster-Shafer theory is not flexible enough to obtain a clear evaluation of the state of allegiance for a detected target. With the new theory of plausible, paradoxical, and neutrosophic reasoning, the Dezert-Smarandache theory, we are able to get a clearer assessment. The current paper presents our research for these cases.
This paper proposes a discussion on the formal links between the situation calculus and the semantics of interpreted systems as far as they relate to higher-level information fusion tasks. Among these tasks situation analysis require to be able to reason about the decision processes of coalitions. Indeed in higher levels of information fusion, one not only need to know that a certain proposition is...
Bayesian networks are useful for predicting future activities on the battlefield. Bayesian mathematics provides the most benefit in JDL fusion levels 2+, i.e. situation, threat, and performance assessment. However, these networks are exceedingly difficult for the average person to develop, much less a soldier in the middle of a war. We are in the process of developing a Bayesian modeling aid that...
In this paper, we propose a method of combining some interacting multiple model-extended Viterbi (IMM-EV) algorithms for target tracking. The objective of the proposed scheme is to take the maximum advantage of the combined strengths of some IMM-EV algorithms so as to achieve better performance and/or computational efficiency than the IMM and some tracking algorithms. Simulation results demonstrate...
Evidence gathered from different sources may have different reliabilities. Such reliability should be integrated into corresponding evidence model to make the evidence combination result rational. In this paper, a novel discounting strategy is developed for the integration of evidence's model and reliability. Dissimilar to the current one based on BPA, this strategy discounts the evidence's plausibility...
An implemented system for achieving high level situation awareness about traffic situations in an urban area is described. It takes as input sequences of color and thermal images which are used to construct and maintain qualitative object structures and to recognize the traffic behavior of the tracked vehicles in real time. The system is tested both in simulation and on data collected during test...
The purpose of information fusion is to support and improve decision making. However, theories of decision making differ significantly on their view of what a good decision actually is. Hence, depending on which decision making theory one (un)consciously adopts there are different requirements for information fusion as decision support Information fusion researchers and practitioners should therefore...
This paper presents an innovative approach to the field of information fusion. Fuzzy mediation differentiates itself from other algorithms, as this approach is dynamic in nature. The experiments reported in this work analyze the interaction of two distinct controllers as they try to maneuver an artificial agent through a path. Fuzzy mediation functions as fusion engine to integrate the two inputs...
The paper develops an information fusion system that aims at supporting a commander's decision making by providing an assessment of threat, that is an estimate of the extent to which an enemy platform poses a threat based on evidence about its intent and capability. Threat is modelled in the framework of the valuation-based system (VBS), by a network of entities and relationships between them. The...
Summary form only given. The routing and munitions management of multiple formations of unmanned combat aerial vehicles (UCAVs) through network enabled sensing will be discussed. The ability of the UCAVs to group into large formations and to divide into smaller formations on their way to high-value, tactical targets will be cast in the optimization. To solve such problem a sensory information management...
This paper presents a methodology for the evaluation of a path planning algorithm based on a learning approach. Here this evaluation procedure is applied for the problem of optimizing the navigation of a mobile robot in a known environment. A metric map composed of landmarks representing natural elements is given to define the best trajectory which permits to guarantee a localization performance during...
Target tracking from incomplete measurements of distinct sensors in a sensor network is a task of data fusion, present in a lot of applications. Difficulties in tracking using extended Kalman filters lead to unstable behavior, mainly caused by difficult initialization. Instead of using numerical batch-estimators, we offer an analytical approach to initialize the filter from a minimum number of observations...
Errors due to sensor bias are often present in sensor data and can reduce the tracking accuracy and stability of multi-sensor systems. The other practical problem is that the target data reported by the sensors are usually not time-coincident or synchronous due to the different data. This paper deals with these problems and presents a new algorithm for estimation of both constant and dynamic biases...
Current conceptual models for information fusion, including the JDL model do not consider the fact that their information sources are often based on different ontological bases. We therefore suggest that the Alignment functional process of the JDL model, which caters for space and time common referencing, be augmented with the notional aspect of common ontological alignment We illustrate this with...
The traditional message passing algorithm developed by Pearl in 1980s provides exact inference for discrete poly-tree Bayesian networks. When there are multiple paths (loops) in the network, we can still apply Pearl's algorithm to provide approximate solutions and it is so-called "loopy propagation". However, when mixed random variables (continuous and discrete variables) are present in...
A distributed detection method is developed for the detection of a nuclear radioactive source using a small number of radiation counters. Local one bit decisions are made at each sensor over a period of time and a fusion center makes the global decision. A novel test for the fusion of correlated decisions is derived using the theory of copulas and optimal sensor thresholds are obtained using the Normal...
Intelligence in the asymmetric environment appears to lend itself to relying more heavily on information coming from human sources which may provide a wealth of opportunistic intelligence. This kind of information is increasingly available in very large quantities and various formats. The intelligence community has the challenge of ensuring that this collected information/knowledge, which is, by its...
Real radar data containing a small manoeuvring boat in sea clutter is processed using a grid based finite difference implementation of continuous-discrete filtering. Both two dimensional diffusion and four dimensional constant velocity models are implemented using Gaussian and Rayleigh sea clutter models. Superior performance is observed for the constant velocity model and significant sensitivity...
Hyperspectral imaging is becoming increasingly important in a variety of applications. These images contain a large number of contiguous bands to provide information at a fine spectral resolution and, therefore, cannot be displayed directly using an RGB color display. There has been some recent work on the problem of fusing hyperspectral images to three-band images for color display purposes. In this...
This paper deals with a cooperative fusion system parameter adjustment based on an evaluation quality of the fusion system output. The concerned application is an electro- technical part quality evaluation in which geophysicists need time and experience to analyze the 3D tomography of the parts. To help them in their task, a fusion system was designed to aggregate some measurements extracted from...
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