Adaptive Techniques in Scalar Tracking Loops with Direct-State Kalman-Filter
Author:
Affiliation:
1. Fraunhofer Institute for Integrated Circuits IIS,Nuremberg,Germany
2. Tampere University,Electrical Engineering Unit,Tampere,Finland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9452123/9452191/09452269.pdf?arnumber=9452269
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Adaptive Ultra-Tight Integration Architecture for Robust GNSS Tracking;The International Technical Meeting of the The Institute of Navigation;2024-02-14
2. Evaluation of Low-Complexity Adaptive Full Direct-State Kalman Filter for Robust GNSS Tracking;Sensors;2023-03-31
3. Coordinated Passive Maneuvering Target Tracking by Multiple Underwater Vehicles Based on Asynchronous Sequential Filtering;Intelligent Robotics and Applications;2023
4. Low-Complexity Adaptive Direct-State Kalman Filter for Robust GNSS Carrier Tracking;2022 International Conference on Localization and GNSS (ICL-GNSS);2022-06-07
5. Performance Evaluation of Adaptive Tracking Techniques with Direct-State Kalman Filter;Sensors;2022-01-06
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