Research on UWB Localization Algorithm Based on Improved BP Neural Network and Kalman Filter-Reference-Cited by-同舟云学术

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Research on UWB Localization Algorithm Based on Improved BP Neural Network and Kalman Filter

Published:2023-12-08 Issue: Volume:34 Page:90-93
ISSN:
Container-title:2023 2nd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR)
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Author:

Liu Chaojie¹,Yang Guang¹

Affiliation:

1. School of Changchun University of Science and Technology,Changchun,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10505329/10505330/10505342.pdf?arnumber=10505342

Reference7 articles.

1. UWB indoor positioning algorithm to reduce NLOS error[J];Xinchun;Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition),2022

2. Performance Evaluation of a UWB Positioning System Applied to Static and Mobile Use Cases in Industrial Scenarios

3. TOA localization algorithm based on least squares method and BP neural network[J];Jiaqi;Computer Technology and Development,2018

4. A Generalized TDoA/ToA Model for ToF Positioning

5. Research on TOA/AOA joint positioning based on ultra-wideband in wireless sensor network[J];Zhu;Journal of Computer Research and Development,2013

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