Improved Kalman Filtering Algorithm Based on Levenberg–Marquart Algorithm in Ultra-Wideband Indoor Positioning

To improve the current indoor positioning algorithms, which have insufficient positioning accuracy, an ultra-wideband (UWB) positioning algorithm based on the Levenberg–Marquardt algorithm with improved Kalman filtering is proposed. An alternative double-sided two-way ranging (ADS-TWR) algorithm is...

詳細記述

書誌詳細

出版年:	Sensors
主要な著者:	Changping Xie, Xinjian Fang, Xu Yang
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-11-01
主題:	Kalman filter UWB least square method Levenberg–Marquardt algorithm positioning algorithm
オンライン･アクセス:	https://www.mdpi.com/1424-8220/24/22/7213