Hao Wu

Orcid: 0000-0002-8679-1274

Affiliations:
  • National University of Defense Technology, College of Electronic Science, Changsha, China


According to our database1, Hao Wu authored at least 30 papers between 2017 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Enhanced Micro-Doppler Feature Extraction Using Adaptive Short-Time Kernel-Based Sparse Time-Frequency Distribution.
Remote. Sens., January, 2024

Power Spectrum Information Geometry-Based Radar Target Detection in Heterogeneous Clutter.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Information Geometry-Based Track-Before-Detect Algorithm for Slow-Moving Fluctuating Target Detection.
IEEE Trans. Signal Process., 2023

Manifold Projection-Based Subband Matrix Information Geometry Detection for Radar Targets in Sea Clutter.
IEEE Trans. Geosci. Remote. Sens., 2023

Joint Design of Transmit Sequence and Receive Filter Based on Riemannian Manifold of Gaussian Mixture Distribution for MIMO Radar.
IEEE Trans. Geosci. Remote. Sens., 2023

Parametric Instantaneous Frequency Estimation via PWSR With Adaptive QFM Dictionary.
IEEE Signal Process. Lett., 2023

2022
Radar Data: Real Ground Clutter Plus Unmanned Aerial Vehicle.
Dataset, July, 2022

Adaptive Matrix Information Geometry Detector With Local Metric Tensor.
IEEE Trans. Signal Process., 2022

Geodesic Normal Coordinate-Based Manifold Filtering for Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

Heterogeneous Clutter Suppression via Affine Transformation on Riemannian Manifold of HPD Matrices.
IEEE Trans. Geosci. Remote. Sens., 2022

Time-Frequency Feature Enhancement of Moving Target Based on Adaptive Short-Time Sparse Representation.
IEEE Geosci. Remote. Sens. Lett., 2022

Ship Target Detection in SAR Imagery Based on Maximum Eigenvalue Detector.
IEEE Geosci. Remote. Sens. Lett., 2022

Radar Target Detection With Multi-Task Learning in Heterogeneous Environment.
IEEE Geosci. Remote. Sens. Lett., 2022

Moving Target Detection by Robust PCA in the Topological Space of Low-Rank Matrices.
IEEE Geosci. Remote. Sens. Lett., 2022

Nonstationary Moving Target Detection in Spiky Sea Clutter via Time-Frequency Manifold.
IEEE Geosci. Remote. Sens. Lett., 2022

Subband Matrix Information Geometry Detector in Heterogeneous Clutter.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

Multi-Frame Detection via Matrix Information Geometry-Based Track-Before-Detect Algorithm.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

Information Geometry of the Locally Most Powerful Test.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

2021
Adaptive Network Detector for Radar Target in Changing Scenes.
Remote. Sens., 2021

Heterogeneous Clutter Suppression for Airborne Radar STAP Based on Matrix Manifolds.
Remote. Sens., 2021

Radar Target Detection Method Based on Neural Network Ensemble.
Proceedings of the IEEE International Conference on Signal Processing, 2021

2020
Enhanced Matrix CFAR Detection With Dimensionality Reduction of Riemannian Manifold.
IEEE Signal Process. Lett., 2020

Data-Driven Passive Localization With Non-Cooperative Radiation Sources via Mutually Inverse Networks.
IEEE Commun. Lett., 2020

PCA-Based Matrix CFAR Detection for Radar Target.
Entropy, 2020

2019
Isometric Signal Processing under Information Geometric Framework.
Entropy, 2019

Vector Bundle Model of Complex Electromagnetic Space and Change Detection.
Entropy, 2019

Modified CRLB Based Optimal Sampling Frequency Selection in Phase and Frequency Estimation.
IEEE Access, 2019

Target Localization in CEMS Based on Shunt-Wound Radial Basis Function Network.
Proceedings of the 2019 International Conference on Control, 2019

Distributed Multi-Sensor Information Acquisition for Target Localization with Range and Doppler Measurements.
Proceedings of the 2019 International Conference on Control, 2019

2017
Distribution majorization of corner points by reinforcement learning for moving object detection.
Proceedings of the Tenth International Conference on Machine Vision, 2017


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