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This paper presents a regularized least squares method to estimate the location and release rate of atmospheric pollution. We assume that measured pollution concentration at different ground locations and meteorological conditions such as wind speed are available so that one can solve the advection-diffusion equation for a non-steady point source. However, even finding linear parameters related to...
This paper is concerned with the use of multi-platform agent-based emitter geolocation. Multiple, self-aware, agents representing different types of emitter location method, naturally form clusters, which are controlled by the network connectivity. Each cluster provides a fusion hierarchy: each agent is able to geolocate individually, a cluster of agents can refine the emitter position using fusion...
An improved neurobiologically inspired algorithm for situation awareness in the maritime domain takes real-time tracking information and learns motion pattern models based on temporal associations between vessel events enabling conditional probabilities between events to be learned incrementally and locally. These learned weights are used for future vessel location prediction. Improvements in prediction...
Feature aided tracking can often yield improved tracking performance over the standard radar tracking with positional measurements alone. However, the complexity of the tracker may dramatically increase due to the inclusion of the target feature state. In this paper, we study the situation where the target feature is a constant or slowly varying parameter with respect to the target state and can be...
The basis for map assisted moving target tracking is a correct and up-to-date representation of the environment. In this contribution a method is proposed to model curved structures, e.g. roads or tracks, with cubic spline curves. The unknown model parameters are estimated based on corrupted measurements using a probabilistic approach. In particular, the method presented results in a linear formulation...
Blind localization and tracking of mobile terminals in urban scenarios is an important requirement for offering new location based services, handling emergency cases of non-subscribed users, public safety etc. In this context, we propose a track-before-detect scheme, taking explicit advantage of multipath propagation in an urban terrain by using a priori information about the known locations of the...
Map matching algorithms are used to integrate an initial estimated position with digital road network data for computing the vehicle position on a road map. In this paper, a map matching algorithm based on belief function theory is proposed. This method provides an accurate estimation of vehicle position relative to a digital road map using belief function theory and interval analysis. The core idea...
Digital audio/video broadcasting (DAB/DVB-T) is already available in a large area of Europe. The advantage of using these signals for passive air surveillance is the disposability of a large range of illuminators sending an easily decodeable digital broadcast signal. In the considered multi-static scenario, one observer provides bistatic Time Difference of Arrival (TDoA) and Doppler measurements....
The effective fusion and tracking of multistatic active sonar contacts is challenging, due to high levels of false alarm clutter present on all sonar nodes. Exploiting the occurrence of high strength detections generated by the specular geometric condition, a cueing approach can be used to selectively extract further data stored locally on the individual sonar nodes for ingestion into the multi-sensor,...
Timely recognition of threats can be significantly supported by security assistance systems that work continuously in time and call the security personnel in case of anomalies. We are describing the concept and the realization of an indoor security assistance system for real-time decision support. Data for the classification of persons are provided by chemical sensors detecting hazardous materials...
A simple ADS-B data fusion method to incorporate ADS-B data in traffic control centres already operative is presented. The implementation of this solution has low-impact on the system with a quite acceptable performance. The goal is to make the fusion with the minimal intervention on the tracking filter already tuned and tested.
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