Search Results for author: Jing Fu

Found 6 papers, 0 papers with code

Interference Mitigation in LEO Constellations with Limited Radio Environment Information

no code implementations19 Feb 2024 Fernando Moya Caceres, Akram Al-Hourani, Saman Atapattu, Michael Aygur, Sithamparanathan Kandeepan, Jing Fu, Ke Wang, Wayne S. T. Rowe, Mark Bowyer, Zarko Krusevac, Edward Arbon

This research paper delves into interference mitigation within Low Earth Orbit (LEO) satellite constellations, particularly when operating under constraints of limited radio environment information.

An Index Policy Based on Sarsa and Q-learning for Heterogeneous Smart Target Tracking

no code implementations19 Feb 2024 Yuhang Hao, Zengfu Wang, Jing Fu, Quan Pan

Each bandit process is associated with a smart target, of which the estimation state evolves according to different discrete dynamic models for different actions - whether or not the target is being tracked.

Q-Learning Scheduling

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

Non-myopic Beam Scheduling for Multiple Smart Target Tracking in Phased Array Radar Network

no code implementations13 Dec 2023 Yuhang Hao, Zengfu Wang, José Niño-Mora, Jing Fu, Min Yang, Quan Pan

We present numerical evidence that the model satisfies sufficient conditions for indexability (existence of the Whittle index) based upon partial conservation laws, and, through extensive simulations, we validate the effectiveness of the proposed policy in different scenarios.

Scheduling

Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer

no code implementations19 Jun 2023 Yongquan Yang, Fengling Li, Yani Wei, YuanYuan Zhao, Jing Fu, Xiuli Xiao, Hong Bu

The primary reason for this situation lies in that the distribution of the external data for validation is different from the distribution of the training data for the construction of the predictive model.

Combinatorial-restless-bandit-based Transmitter-Receiver Online Selection for Distributed MIMO Radars With Non-Stationary Channels

no code implementations16 Jun 2023 Yuhang Hao, Zengfu Wang, Jing Fu, Xianglong Bai, Can Li, Quan Pan

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 limited number of radar stations.

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