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This paper addresses distributed tracking of the probability distribution of state parameters of a space-time-variant process described by a linear partial differential equation using a particle filter (PF). We focus on localizing an acoustic source in a given region. The underlying wave equation leads to a high-dimensional estimation problem. We propose a technique for reducing the computational...
Prognostics is crucial to providing reliable condition-based maintenance decisions. To obtain accurate predictions of component life, a variety of sensors are often needed. However, it is typically difficult to add enough sensors for reliable prognosis, due to system constraints such as cost and weight. Model-based prognostics helps to offset this problem by exploiting domain knowledge about the system,...
This paper investigates the problem of propagation delayed measurements in a particle filtering scenario. Based on implicit constraints specified by target dynamics and physics rules of signal propagation, authors apply the ideas that were first proposed in their previous work to the case of particle filters. Unlike the deterministic sampling based approach called propagation delayed measurement filter...
We propose an approach to estimating human position using multiple dual-type K band microwave Doppler sensors placed at each corner of the room. The feature of our method is to use two different kinds of information in a complementary style. The one is the change in the distance between the target and the sensor calculated from the signal phase change. It has about the wave length accuracy if the...
This paper addresses the problem of tracking a ldquosmartrdquo target, wherein the issue of the observerpsilas concealment against the target should be taken into account, as a smart target is able to detect when it is under surveillance and react in a manner that makes future surveillance more difficult. This work proposes a sensor scheduling strategy (SSS), which balances the tracking performance...
We present robust localization algorithm using particle filter for mobile robots. The blueprint of building that cannot completely represent the real environment or a simple map of environment can be used in this work. With this incomplete information, it will not be easy to estimate the pose of robots because un-modeled obstacles will make the sensor observation inconsistent. Proposed algorithm provides...
In target tracking, standard sensors as radar and EO/IR observe the target with a negligible delay, since the speed of light is much larger than the speed of the target. This contribution studies the case where the ratio of the target and the propagation speed is not negligible, as is the case in sensor networks with microphones, geophones or sonars for instance, where the speed of air, ground waves...
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