An Ultra-Wideband Indoor Localization Algorithm with Improved Cubature Kalman Filtering Based on Sigmoid Function

An Ultra-Wideband Indoor Localization Algorithm with Improved Cubature Kalman Filtering Based on Sigmoid Function

In this paper, an improved cubature Kalman filtering (CKF) is proposed using the Sigmoid function to address the problems of positioning accuracy degradation and large deviations in ultra-wideband (UWB) indoor positioning in non-line-of-sight environments. The improved CKF is based on the squared ra...

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Bibliographic Details
Main Authors: Yunzhu Lv, Songlin Liu, Yipin Gao, Jun Dai, Zongbin Ren, Yang Liu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
ultra-wideband
squared range difference model
cubature Kalman filtering
Sigmoid function adaptive
singular value decomposition
Online Access:https://www.mdpi.com/2076-3417/14/6/2239

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