no code implementations • 27 Oct 2016 • Hua Lan, Shuai Sun, Zengfu Wang, Quan Pan, Zhishan Zhang
We consider multitarget detection and tracking problem for a class of multipath detection system where one target may generate multiple measurements via multiple propagation paths, and the association relationship among targets, measurements and propagation paths is unknown.
no code implementations • 5 May 2020 • Zhen Guo, Zengfu Wang, Hua Lan, Quan Pan, Kun Lu
Therefore, to improve the localization accuracy of OTHR, it is important to develop accurate models and estimation methods of ionospheric parameters and the corresponding target tracking algorithms.
no code implementations • 14 Dec 2022 • Xianglong Bai, Hua Lan, Zengfu Wang, Quan Pan, Yuhang Hao, Can Li
Then, a unified MP algorithm is used to infer the marginal posterior probability distributions of targets, clutter, and data association by splitting the joint probability distribution into a mean-field approximate part and a belief propagation part.
no code implementations • 6 May 2023 • Hua Lan, Jinjie Hu, Zengfu Wang, Qiang Cheng
Motivated by the maneuvering target tracking with sensors such as radar and sonar, this paper considers the joint and recursive estimation of the dynamic state and the time-varying process noise covariance in nonlinear state space models.
no code implementations • 19 Oct 2023 • Xianglong Bai, Zengfu Wang, Quan Pan, Tao Yun, Hua Lan
We first introduce a novel neural enhanced message passing approach, where the beliefs obtained by the unified message passing are fed into the neural network as additional information.
no code implementations • 15 Dec 2023 • Hua Lan, Shijie Zhao, Jinjie Hu, Zengfu Wang, Jing Fu
In this article, the state estimation problems with unknown process noise and measurement noise covariances for both linear and nonlinear systems are considered.