Search Results for author: Hua Lan

Found 6 papers, 0 papers with code

Joint Target Detection and Tracking in Multipath Environment: A Variational Bayesian Approach

no code implementations27 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.

Bayesian Inference

OTHR multitarget tracking with a GMRF model of ionospheric parameters

no code implementations5 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.

Robust Multitarget Tracking in Interference Environments: A Message-Passing Approach

no code implementations14 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.

Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance

no code implementations6 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.

Bayesian Inference Variational Inference

Classification-Aided Robust Multiple Target Tracking Using Neural Enhanced Message Passing

no code implementations19 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.

Joint State Estimation and Noise Identification Based on Variational Optimization

no code implementations15 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.

Variational Inference

Cannot find the paper you are looking for? You can Submit a new open access paper.