4 papers
An Index Policy Based on Sarsa and Q-learning for Heterogeneous Smart Target Tracking
Yuhang Hao, Zengfu Wang, Jing Fu +1
In solving the non-myopic radar scheduling for multiple smart target tracking within an active and passive radar network, we need to consider both short-term enhanced tracking perf…
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…
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…