22 citations · 43 across the 14 of their papers we have counts for
5 papers · 1 filter
Classification-Aided Robust Multiple Target Tracking Using Neural Enhanced Message Passing
Xianglong Bai, Zengfu Wang, Quan Pan +2
We address the challenge of tracking an unknown number of targets in strong clutter environments using measurements from a radar sensor. Leveraging the range-Doppler spectra inform…
Combinatorial-restless-bandit-based Transmitter-Receiver Online Selection for Distributed MIMO Radars With Non-Stationary Channels
Yuhang Hao, Zengfu Wang, Jing Fu +3
We track moving targets with a distributed multiple-input multiple-output (MIMO) radar, for which the transmitters and receivers are appropriately paired and selected with a limite…
A Sea-Land Clutter Classification Framework for Over-the-Horizon-Radar Based on Weighted Loss Semi-supervised GAN
Xiaoxuan Zhang, Zengfu Wang, Kun Lu +2
Deep convolutional neural network has made great achievements in sea-land clutter classification for over-the-horizon-radar (OTHR). The premise is that a large number of labeled tr…
Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance
Hua Lan, Jinjie Hu, Zengfu Wang +1
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…
Data Augmentation and Classification of Sea-Land Clutter for Over-the-Horizon Radar Using AC-VAEGAN
Xiaoxuan Zhang, Zengfu Wang, Kun Lu +1
In the sea-land clutter classification of sky-wave over-the-horizon-radar (OTHR), the imbalanced and scarce data leads to a poor performance of the deep learning-based classificati…