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In order to localize the mobile targets in real time and with high accuracy, by employing mean shift algorithm to generate the proposal distribution for the joint particle filter, this paper proposes a novel mobile target localization algorithm, which we called mean shift particle filter. The mean shift particle filter algorithm significantly improves the accuracy of the particle state estimation...
To localize mobile target timely and improve the accuracy of the target state estimation in wireless sensor networks, this paper presents a novel mobile target localization algorithm. By using the mean shift algorithm to construct the proposal distribution to make use of the current measurements, and weighting particles according to the virtual hamming distances in the particle filter, this proposed...
This paper introduces a distributed weighted-multidimensional scaling algorithm that adaptively emphasizes the lowest relative error within the sensor networks. Each node adaptively chooses a neighborhood of sensors within 1 or 2 hops based on their relative errors and network density, then updates its position estimate by minimizing a local cost function and last passes this update to its neighboring...
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