Reducing UWB Indoor Localization Error Using the Fusion of Kalman Filter with Moving Average Filter-Reference-Cited by-同舟云学术

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Reducing UWB Indoor Localization Error Using the Fusion of Kalman Filter with Moving Average Filter

Published:2023-06-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)
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Author:

Borhan Nuradlin¹,Saleh Izzati¹,Yunus Azan²,Rahiman Wan¹,Novaliendry Dony³,Risfendra ²

Affiliation:

1. Universiti Sains Malaysia Engineering Campus,School of Electrical and Electronic Engineering,Nibong Tebal,Penang,Malaysia,14300

2. CL Solution Sdn. Bhd. Wisma Rampai,Kuala Lumpur,Malaysia

3. Universitas Negeri Padang,Faculty of Engineering,Padang,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192572/10192579/10193663.pdf?arnumber=10193663

Reference14 articles.

1. Optimization of BLE Beacon Density for RSSI-Based Indoor Localization

2. A New Quaternion Kalman Filter Based Foot-Mounted IMU and UWB Tightly-Coupled Method for Indoor Pedestrian Navigation

3. A TOF Localization Algorithm Based on Improved Double-sided Two Way Ranging

4. A Hybrid Method to Improve the BLE-Based Indoor Positioning in a Dense Bluetooth Environment

5. Evaluation of Localization by Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter-Based Techniques

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1. Comparative Analysis of Filtering Techniques for AGV Indoor Localization with Ultra-Wideband Technology;Pertanika Journal of Science and Technology;2024-08-15

2. Ranging Offset Calibration and Moving Average Filter Enhanced Reliable UWB Positioning in Classic User Environments;Remote Sensing;2024-07-09

3. Enhancing WiFi Access Point Localization With AI-Based Filtering;IEEE Communications Letters;2024-06

4. Indoor Localization Algorithm Based on SRD and Adaptive Kalman Filter;2024 4th International Conference on Information Communication and Software Engineering (ICICSE);2024-05-10

5. Comparative Analysis of Integrated Filtering Methods Using UWB Localization in Indoor Environment;Sensors;2024-02-06

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