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In this paper, we investigate the distributed filtering problems for a class of nonlinear continuous-time stochastic systems over wireless sensor networks. From a resource-efficient perspective, a multi-channel event-based mechanism is proposed to trigger the signal transmission that meets certain predefined conditions with hope to reduce the communication rate. A novel individual triggering threshold...
In this paper, a recursive formula of the mean-square error lower bound for the discrete-time nonlinear filtering problem when noises of dynamic systems are temporally correlated is derived based on the Van Trees (posterior) version of the Cramér-Rao inequality. The approximation formula is unified in the sense that it can be applicable to the multi-step correlated process noise, multi-step correlated...
A distributed stochastic approximation algorithm with expanding truncations (DSAAWET) is proposed to estimate the unknown parameter linearly appearing in the sensor networks. Each agent updates its local estimate by averaging its neighbors' estimates with weights and by processing its local current observation. The estimates are shown to converge to the true parameter with probability one. A numerical...
This paper studies the distributed filtering problem of sensor networks, where a set of heterogeneous sensing nodes is required to estimate the state of a linear discrete-time dynamic system in a collaborative manner. Due to limited sensing range and communication constraints, just part of sensors can get observations of the process and a consensus based sub-optimal filtering algorithm is designed...
This paper is concerned with the consensus estimation problem of wireless sensor networks (WSNs) subject to random packet dropouts. In the WSN, the sensor nodes are of general linear dynamics, and the packet dropouts are modeled as Bernoulli processes. The distributed receding horizon estimation (RHE) scheme is proposed to achieve consensus for state estimate. To design such a consensus-based RHE...
In this paper, we proposed a time difference of arrival(TDOA) location method based on the semi-definite relaxation planning in order to achieve the accurate positioning of unknown nodes in sensor network. The unknown nodes include mobile nodes and target node. Based on measurement of time arrived, the noise has been considered, by relaxation the constraint conditions, the non-convex problem has been...
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