Dan Wang

Orcid: 0000-0003-3157-4886

Affiliations:
  • Air Force Engineering University, Institute of Information and Navigation, Collaborative Innovation Center of Information Sensing and Understanding, Xi'an, China


According to our database1, Dan Wang authored at least 25 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Lightweight Cascade Network for Wideband Signal Detection and Recognition in Aerial Degraded Electromagnetic Scenarios.
IEEE Trans. Aerosp. Electron. Syst., 2026

Surpassing the Master: A Joint Channel and Power Jamming Decision-Making Approach Under Imperfect Demonstrations.
IEEE Internet Things J., 2026

Enhancing radar stealth performance through radar network resource allocation for multi-target tracking: a counter-sorting approach.
Sci. China Inf. Sci., 2026

2025
Sparse Aperture ISAR Imaging of Maneuvering Target Based on Fast Nonuniform Block Sparse Bayesian Learning.
IEEE Trans. Aerosp. Electron. Syst., August, 2025

Adaptive Jamming Decision-Making Against FHSS Communications via Inexpert Demonstrations Assisted Meta Reinforcement Learning.
IEEE Commun. Lett., January, 2025

Optimization for Paralyzing G2A Communication Network: A DRL-Based Joint Path Planning and Jamming Power Allocation Approach.
IEEE Signal Process. Lett., 2025

The pupil outdoes the master: Imperfect demonstration-assisted trust region jamming policy optimization against frequency-hopping spread spectrum.
Comput. Commun., 2025

Energy-efficient strategy generation for smart jammer in non-zero-sum games: A deep reinforcement learning approach.
Comput. Networks, 2025

RCS Imputation for Recognition Based on Networked Radar Systems.
Proceedings of the 2025 9th International Conference on Vision, 2025

2024
Fast Adaptive Jamming Resource Allocation Against Frequency-Hopping Spread Spectrum in Wireless Sensor Networks via Meta-Deep-Reinforcement-Learning.
IEEE Trans. Aerosp. Electron. Syst., December, 2024

Adaptive Resource Scheduling Algorithm for Multi-Target ISAR Imaging in Radar Systems.
Remote. Sens., May, 2024

Dynamic Jamming Power Allocation With Incomplete Sensing Information: Improving by GAN and Opponent Modeling.
IEEE Commun. Lett., May, 2024

GAF-MAE: A Self-Supervised Automatic Modulation Classification Method Based on Gramian Angular Field and Masked Autoencoder.
IEEE Trans. Cogn. Commun. Netw., February, 2024

A Resource Scheduling Algorithm for Multi-Target 3D Imaging in Radar Network Based on Deep Reinforcement Learning.
Remote. Sens., 2024

2023
Saliency-Based SAR Target Detection via Convolutional Sparse Feature Enhancement and Bayesian Inference.
IEEE Trans. Geosci. Remote. Sens., 2023

An ISAR Shape Deception Jamming Method Based on Template Multiplication and Time Delay.
Remote. Sens., 2023

2022
Evaluation Method of Communication Countermeasure Combat Effectiveness based on Cloud Model.
Proceedings of the IEEE International Conference on Signal Processing, 2022

Joint Node Selection and Power Allocation Optimization for Multi-Target ISAR Imaging in Radar Network.
Proceedings of the IEEE International Conference on Signal Processing, 2022

2021
A Suppression Method Against C&I Jamming by Time-frequency Shift Recombination.
Proceedings of the 2021 International Conference on Control, 2021

2020
Task Scheduling for Multi-Target ISAR Imaging in Radar Network.
IEEE Access, 2020

Radar Coincidence Imaging With a Uniform Circular Array.
IEEE Access, 2020

2019
Mainlobe Jamming Suppression Using Improved Frequency Diverse Array with MIMO Radar.
J. Sensors, 2019

Task Allocation for Multi-target ISAR Imaging in Bi-Static Radar Network.
Proceedings of the Communications, Signal Processing, and Systems, 2019

2018
A Seaborne Isarautofocusing Method Under Minimum Entropy Criterion.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016
The energy efficient power allocation for relay assisted network under equipment probability finite alphabet input assumption.
Proceedings of the 2016 IEEE International Conference on Communication Systems, 2016


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