A novel indoor positioning algorithm based on UWB
by Zhixue Tong; Junhao Xue; Zhiqiang Kang
International Journal of Sensor Networks (IJSNET), Vol. 40, No. 4, 2022

Abstract: The positioning method based on ultra-wideband (UWB) technology has been widely used in real life. In order to improve the indoor positioning accuracy of UWB, a new indoor positioning algorithm is proposed. Firstly, in the aspect of non-iterative method, a weighted least squares (WLS) method is proposed to solve the problem that the traditional least squares (LS) method cannot take into account the factors affecting the positioning accuracy of the system due to the different location of the base station in the indoor positioning system. Secondly, in terms of iterative method, a closed-form Newton iterative method considering high-order terms is proposed in view of the factor that the traditional Gauss-Newton iterative method only performs Taylor first-order expansion to cause large model deviation. Finally, the experimental results show that the positioning accuracy of the two proposed algorithms has been improved to a certain extent.

Online publication date: Mon, 19-Dec-2022

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