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- W4308659664 abstract "The wireless signal will have a lot of loss in the process of propagation, and there is a certain relationship between the degree of signal loss and the propagation distance. In the indoor positioning algorithm, the Received Signal Strength Indication(RSSI)-based ranging positioning algorithm uses this principle to locate the target. For the ranging algorithm based on RSSI, this paper first improves the model of the algorithm, and then proposes a regularized least squares approach to estimate the unknown parameters <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$A$</tex> and <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$gamma$</tex> in the model. Finally, the effectiveness of the proposed algorithm is verified by simulation experiments." @default.
- W4308659664 created "2022-11-13" @default.
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- W4308659664 date "2022-09-23" @default.
- W4308659664 modified "2023-09-24" @default.
- W4308659664 title "Research on Environment Parameter Estimation Based on Regularization Method in RSSI Positioning" @default.
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- W4308659664 doi "https://doi.org/10.1109/icoias56028.2022.9931252" @default.
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