Paper Publications
- [1]徐诚,Geometrical kinematic modeling on human motion using method of multi-sensor fusion.INFORMATION FUSION,411.
- [2]徐诚,Recurrent Transformation of Prior Knowledge Based Model for Human Motion Recognition.COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE,1.
- [3]徐诚,Toward Near-Ground Localization: Modeling and Applications for TOA Ranging Error (vol 65, pg 5658, 2017).IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION,66(2):1.
- [4]Xu C*, Wu H, and Duan S. Constrained Gaussian Condensation Filter for Cooperative Target Tracking[J]. IEEE Internet of Things Journal, pp. 1–14, 2021, doi: 10.1109/JIOT.2021.3088297. (中科院 JCR 一区，IF=9.471).
- [5]Xu C*, Wang X, Duan S, Wan J. Spatial-temporal constrained particle filter for cooperative target tracking[J]. Journal of Network and Computer Applications, 2021,176:102913. (中科院 JCR 一区，IF=5.57).
- [6]Duan S, Su R, Xu C*, Chen Y, He J. Ultra-Wideband Radio Channel Characteristics for Near-Ground Swarm Robots Communication[J]. IEEE Transactions on Wireless Communications, 2020,19(7):4715-4726. (中科院 JCR 一区，IF=6.779).
- [7]Wang X, Xu C*, Duan S, et al. Error-Ellipse-Resampling-Based Particle Filtering Algorithm for Target Tracking[J]. IEEE Sensors Journal, 2020, 20(10): 5389-5397. (中科院JCR 二区，IF=3.073).
- [8]徐诚, 何杰, 张晓彤, 姚翠, 段世红, 齐悦. IMU/TOA 融合人体运动追踪性能评估方法[J]. 电子学报, 2019, 47(8): 1748-1754. （国内中文一级学报）.
- [9]Xu C, He J, Zhang X, et al. Geometrical kinematic modeling on human motion using method of multi-sensor fusion[J]. Information Fusion, 2018, 41: 243-254. (中科院 JCR 一区，IF=13.669).
- [10]Xu C, He J, Zhang X, et al. Toward Near-Ground Localization: Modeling and Applications for TOA Ranging Error[J]. IEEE Transactions on Antennas & Propagation, 2017, 65(10):5658-5662. (中科院 JCR 一区，IF=4.371).
| total10 1/1 | firstpreviousnextlast |
|
|
-
Cheng Xu
 PostalAddress:291ab61511f239d87d2304d7db44f40498b9176a5d9fd80841602511235fd8a7d5b2534514123c7db3e51e33e1a73602835557c329984c308518b6ec6db347acb099c54a1da9a3f2bcb5431a881dcd24d876c2270b7fc24663ddd1d248d5870ba014ae6c59e35366f1eee2da35252a1126d7fdc8d47c06196e31711a0634a36b Email:b96e8310342d464b87cfd2035a9084864d2bf56f63e27fcb9ead40907e07b76e5eaf84995cae65009d278e619023f81388071290a354dbbfacc92a6c4f1a2c722cb0fb6606d4dce0ed0fa983e9ab68ad19a39efa3119d6e75502aebb1b85fcef57ddd194d5141d448237f88746c42c20e727871884c855a70db5720c74f91cb8
|
MOBILE Version
