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• W2510136799 abstract "In reality, Non-line-of-sight(NLOS) error is the major factor which influences the positioning accuracy. NLOS identification and correction are the major techniques of reducing the positioning error. In this paper, we investigate the NLOS propagation identification and correction for time difference of arrival (TDOA) in wireless sensor networks. Based on the TDOA residual, an NLOS identification algorithm is proposed. when the anchors which can use to location are too small, after we identified. In this case, the excessive time delay in NLOS environment; the measurements for TDOA are reconstructed by estimating the mean and variance of the excessive time delay. So we can rewrite the TDOA that we measured. In order to obtain an accuracy position, we joint AOA to this location. In this case, we can calculate the tag position with TDOA and AOA. Firstly, it figures out the radial range between tag and reference anchor, then calculates the location of tag. Simulation results show that with the existence of NLOS errors, this method can improve the positioning accuracy in wireless sensor networks." @default.
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• W2510136799 date "2016-01-01" @default.
• W2510136799 modified "2023-10-11" @default.
• W2510136799 title "Hybrid TDOA/AOA Localization Algorithm in Non-line-of-sight Environments" @default.
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• W2510136799 doi "https://doi.org/10.2991/cset-16.2016.9" @default.
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