Comparative Study of Interpolation Techniques for Ultra-Tight Integration of GPS/INS/PL Sensors
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Springer Science and Business Media LLC
Cited by 4 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. A Method for Predicting Inertial Navigation System Positioning Errors Using a Back Propagation Neural Network Based on a Particle Swarm Optimization Algorithm;Sensors;2024-06-07
2. Sample-Wise Aiding in GPS/INS Ultra-Tight Integration for High-Dynamic, High-Precision Tracking;Sensors;2016-04-11
3. A double-filter-structure based COMPASS/INS deep integrated navigation system implementation and tracking performance evaluation;Science China Information Sciences;2012-11-30
4. Theoretical analysis and application of Kalman filters for ultra-tight global position system/inertial navigation system integration;Transactions of the Institute of Measurement and Control;2011-10-07
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