Augmented Filtering Based on Information Weighted Consensus Fusion for Simultaneous Localization and Tracking via Wireless Sensor Networks

Augmented Filtering Based on Information Weighted Consensus Fusion for Simultaneous Localization and Tracking via Wireless Sensor Networks

This paper develops a novel augmented filtering framework based on information weighted consensus fusion, to achieve the simultaneous localization and tracking (SLAT) via wireless sensor networks (WSNs). By integrating augmented transition and observation models, we formulate a dynamical system that...

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Bibliographic Details
Main Authors: Xiangyuan Jiang, Baozhou Lu, Peng Ren, Chunbo Luo, Xinheng Wang
Format: Article
Language:English
Published: SAGE Publishing 2015-09-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/391757

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