Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Liangbin Wu"'
Publikováno v:
Electronics Letters, Vol 60, Iss 6, Pp n/a-n/a (2024)
Abstract A robust interacting multiple model approach is proposed to address the problem of accuracy and non‐Gaussian measurement noise in manoeuvering target tracking. The proposed approach introduces multiple fading factors into the prediction co
Externí odkaz:
https://doaj.org/article/446196e2c7e6482ba6224c0af72a77a6
Publikováno v:
IET Radar, Sonar & Navigation, Vol 17, Iss 3, Pp 435-448 (2023)
Abstract Conventional δ‐generalised labelled multi‐Bernoulli filter (δ‐GLMB) cannot deal with the problem of the heavy‐tailed process noise and measurement noise. In order to solve this problem, an adaptive δ‐GLMB approach based on minim
Externí odkaz:
https://doaj.org/article/857a6483d03a42c39a541d2fb31acf97
Robust adaptive multi‐target tracking with unknown measurement and process noise covariance matrices
Publikováno v:
IET Radar, Sonar & Navigation, Vol 16, Iss 4, Pp 735-747 (2022)
Abstract A robust adaptive probability hypothesis density (PHD) filter is proposed to address the degradation of PHD performance due to an unknown process noise and measurement noise covariance matrix. Therefore, the inverse Wishart distribution is i
Externí odkaz:
https://doaj.org/article/886caff72e81441fbd0df5e70eb86225
Autor:
Qian Wu, Honglin Li, Liangbin Wu, Zihan Bo, Changge Wang, Lei Cheng, Chao Wang, Chengjun Peng, Chuanrun Li, Xianguo Hu, Chuan Li, Bo Wu
Publikováno v:
Lubricants, Vol 11, Iss 1, p 11 (2022)
The service life of artificial joints has gradually failed to meet the needs of patients. Herein, the synergistic lubrication and antioxidant efficacies of graphene oxide (GO) and fullerenol (Fol) as biological lubricant additives for artificial join
Externí odkaz:
https://doaj.org/article/768eea3e27544d9597877d23a1b759bf
Publikováno v:
IET Radar, Sonar & Navigation. 17:435-448
Publikováno v:
Atmospheric Measurement Techniques Discussions; 12/6/2023, p1-23, 23p
Robust adaptive multi‐target tracking with unknown measurement and process noise covariance matrices
Publikováno v:
IET Radar, Sonar & Navigation. 16:735-747
Publikováno v:
IET Signal Processing. 17
Publikováno v:
Aerospace Systems. 4:1-6
One purpose of target tracking is to estimate the states of targets, and unscented Kalman filter is one of the effective algorithms for estimating in the nonlinear tracking problem. Considering the characteristics of complex maneuverability, it is ea
Publikováno v:
Proceedings of the International Conference on Aerospace System Science and Engineering 2020 ISBN: 9789813360594
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af706aef0164ebd1a83ac80e2eae37ac
https://doi.org/10.1007/978-981-33-6060-0_42
https://doi.org/10.1007/978-981-33-6060-0_42