EFK Localization Method in NLOS Environment Based on Residual Discrimination
Author:
Affiliation:
1. Xi’an University of Posts and Telecommunications,School of Communications and Information Engineering & School of Artificial Intelligence,Xi’an,China,710121
2. Chinese Academy of Sciences,National Time Service Center,Xi’an,China,710600
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10233255/10233122/10233641.pdf?arnumber=10233641
Reference16 articles.
1. An improved Kalman filter time scale estimation algorithm based on fading factor;song;Geomatics and Information Science of Wuhan university,2019
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3. A New Poisson Process-Based Model for LOS/NLOS Discrimination in Clutter Modeling
4. Research on Multi-source Fusion localization Theory and Method;zhao;Harbin Institute of Technology,2018
5. Research on high-precision localization algorithm of wireless sensor networks in mixed LOS/NLOS environment;he;University of Chinese Academy of Sciences (Institute of Precision Measurement Science and Technology Innovation CAS),2021
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