SARSA in extended Kalman Filter for complex urban environments positioning-Reference-Cited by-同舟云学术

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SARSA in extended Kalman Filter for complex urban environments positioning

Published:2021-05-23 Issue:14 Volume:52 Page:3044-3059
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Chen Chen¹,Wu Xiang¹^ORCID,Bo Yuming¹,Chen Yuwei²,Liu Yurong³⁴^ORCID,Alsaadi Fuad E.⁴

Affiliation:

1. School of Automation, Nanjing University of Science and Technology, Nanjing, Peoples's Republic of China

2. Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, Kirkkonummi, Finland

3. Department of Mathematics, Yangzhou University, Yangzhou, Peoples's Republic of China

4. Communication Systems and NetworkS (CSN) Research Group, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

Academy of Finland

Jihua lab

Chinese Academy of Sciences

Huawei

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2021.1919337

Reference51 articles.

1. Optimal Wireless Charging Inclusive of Intellectual Routing Based on SARSA Learning in Renewable Wireless Sensor Networks

2. The Study of Applications of the Kalman Filtering Algorithm

3. Performance comparison of EKF and particle filtering methods for maneuvering targets

4. Knowledge-based error detection and correction method of a Multi-sensor Multi-network positioning platform for pedestrian indoor navigation

5. The Accuracy Comparison of Three Simultaneous Localization and Mapping (SLAM)-Based Indoor Mapping Technologies

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4. Neural-Network-Based Filtering for A General Class of Nonlinear Systems under Dynamically Bounded Innovations Over Sensor Networks;IEEE Transactions on Network Science and Engineering;2022-05-01

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