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Given a map of a polygon-shaped search area with obstacles and a group of mobile networked observers equipped with radiation dose counters (such as the Geiger-Muller counter), the data fusion problem is twofold: (1) to establish if any radioactive point sources are present in the area; (2) if present, to determine their number and their parameters (locations and intensities of radiation). The detection/estimation...
This paper proposes a cooperative game-theoretic approach for efficient measurement allocation in unattended ground sensor networks when they are engaged in localizing a target. The game-theoretic approach evolves around the idea that localization is achieved as a result of collaboration among the nodes. Hence this process can be modeled as a cooperative game and the solution concept of the Shapley...
The objective of this research is to investigate and provide a proof-of-concept demonstration of how to approach the biosensor fusion process as a systems optimization. Recent work on biosensor fusion is disjointed and compartmentalize at each technical challenge of a very complex problem. Here we try to take a systems approach in deciding the following questions: Where to locate sensors? What sensors...
The evaluation of a sentry system is dependent both on the performance of the implemented sensors and on the disposition of these sensors. In this paper, we are particularly interested in the global evaluation of the sentry system, taking into account the disposition of the sensors. Our approach is to evaluate the performance of an intruder in terms of detection probability. In order to evaluate the...
Different information theoretic sensor management approaches are compared in a Bayesian target-tracking problem. Specifically, the performance using the expected Renyi divergence with different parameter values is compared theoretically and experimentally. Included is the special case in which the expected Renyi divergence is equal to the expected Kullback-Leibler divergence, which is also equivalent...
This paper presents a game theoretic approach for the management of multiple mobile sensors. Our approach can maintain tracks of smart targets under possibly adversarial environments. To ensure computational tractability, sensor management is divided into sensor assignment and sensor scheduling. In sensor assignment, covariance control and information theoretic sensor assignment are combined logically...
Advancements in sensor technology provide new multi-sensor systems with increasing flexibility. The sensor management process aims to perform sensor actions that support the overall goal of the user of a multi-sensor system. Some sensors can support multiple functions. When the different sensor functions utilise shared resources then the sensor actions must be chosen as a compromise between competing...
This paper introduces a new approach to solve sensor management problems. Classically sensor management problems can be well formalized as partially-observed Markov decision processes (POMPD). The original approach developped here consists in deriving the optimal parameterized policy based on a stochastic gradient estimation. We assume in this work that it is possible to learn the optimal policy off-line...
In this paper, considering the problem of collaborative sensor management and data fusion for multitarget tracking, authors propose an altered version of a classical Value Iteration algorithm, one of the most commonly used techniques to calculate the optimal policy for Markov decision processes (MDPs). Dynamic element matching (DEM) algorithms, widely used for reducing harmonic distortion in Digital-to-Analog...
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