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In terms of the location-aware applications for wireless sensor networks, it is crucial to improve the measurement reliability of the received physical signal as well as the target positioning and tracking performance in a real environment. In the localization process, reflection, scattering, and other physical phenomena have a negative impact on the measurement reliability and the estimation accuracy...
Based on the requirements of low energy consumption and high bandwidth efficiency, a primary area of study is how to improve the estimation accuracy and tracking performance for target localization in wireless sensor networks. In this paper, we propose a weighted sign algorithm (WSA) for positioning and tracking in wireless sensor networks. In terms of the reliability of distance estimation, the location...
This paper presents a weighted extended Kalman filter (WEKF) for target tracking in wireless sensor networks, where the location estimation is formulated as a weighted least squares (WLS) problem by taking weights of the local estimates based on the reliability of distance estimation and the WLS problem is solved in an iterative, decentralized manner based on the WEKF. We adopt a message passing (MP)...
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