A Robust Evolutionary Particle Filter Technique for Integrated Navigation in Urban Environments via GNSS and 5G Signals
Author:
Affiliation:
1. College of Electronics and Information Engineering, Tongji University, Shanghai, China
2. School of Information Science and Technology, North China University of Technology, Beijing, China
Funder
National Natural Science Foundation of China
Shanghai Science and Technology Innovation Action Plan
Natural Science Foundation of Shanghai
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9424/10492621/10414266.pdf?arnumber=10414266
Reference34 articles.
1. A New Quaternion Kalman Filter Based Foot-Mounted IMU and UWB Tightly-Coupled Method for Indoor Pedestrian Navigation
2. UWB/INS Integrated Pedestrian Positioning for Robust Indoor Environments
3. On Positioning Performance for the Narrow-Band Internet of Things: How Participating eNBs Impact?
4. Robust Missile Autopilot Design Using Two Time-Scale Separation
5. Robust Autopilot Design Based on a Disturbance/Uncertainty/Coupling Estimator
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