A5059102739- Direction-of-Arrival Estimation Techniques
- Advanced SAR Imaging Techniques
- Speech and Audio Processing
- Radar Systems and Signal Processing
- Antenna Design and Optimization
- Electrocatalysts for Energy Conversion
- Luminescence Properties of Advanced Materials
- Infrared Target Detection Methodologies
- Indoor and Outdoor Localization Technologies
- Advanced battery technologies research
- Perovskite Materials and Applications
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Luminescence and Fluorescent Materials
- Anomaly Detection Techniques and Applications
- Sparse and Compressive Sensing Techniques
- Advanced Adaptive Filtering Techniques
- Advanced Photocatalysis Techniques
- Fuel Cells and Related Materials
- Structural Health Monitoring Techniques
- Advanced Optical Sensing Technologies
- Target Tracking and Data Fusion in Sensor Networks
- Wireless Signal Modulation Classification
- Underwater Acoustics Research
National University of Defense Technology
2014-2025
Soochow University
2023-2025
Shaanxi University of Chinese Medicine
2023
Beijing University of Chemical Technology
2022
Wuyi University
2020-2022
Jiangsu University of Science and Technology
2021
Hefei University of Technology
2018-2019
Beijing Institute of Technology
2015
Tiangong University
2009
This article addresses the problem of joint direction departure (DOD) and arrival (DOA) estimation with nested bistatic multiple input output (MIMO) radar using tensor decomposition. We first employ two-level transmit receive arrays to develop sum-difference coarray for constructing Toeplitz spatial smoothing matrices. then generalize three-way model from DOD DOA dimensions, derive optimized by maximizing number detectable targets, where existing COMFAC technique is exploited angle...
Recently, deep unfolded networks have been widely utilized in direction of arrival (DOA) estimation due to the reduced computational complexity and improved accuracy. However, few consider nested array for off-grid DOA estimation, where estimated DOAs are not on prespecified grids. In this article, we propose a FOCal underdetermined system solver network alternating method multiplies address problem, which respectively aim improve accuracy further reduce complexity. We first apply...
The generation of 3D models from a single image has recently received much attention, based on which point cloud methods have been developed. However, most current reconstruction only work for relatively pure backgrounds, limit their applications real images. Meanwhile, more fine-grained details are required to provide finer models. This paper proposes an end-to-end efficient network, is composed encoder, 2D-3D fusion module, and decoder. First, single-object nearest-shape retrieval ShapeNet...
SAR automatic target recognition (SAR ATR) has been widely studied in recent years. Most ATR models are designed based on the traditional closed-set assumption. This type of model can only identify categories existing training set, and it will result missed detection or misclassification unseen encountered battlefield reconnaissance, posing a potential threat. Therefore, is great significance to design that simultaneously achieve known class classification unknown judgment. In addition,...
Synthesize and tune a series of trimetallic sulfides to achieve efficient catalysis for the OER.
Synthetic Aperture Radar (SAR) stands as an indispensable sensor for Earth observation, owing to its unique capability all-day imaging. Nevertheless, in a data-driven era, the scarcity of large-scale datasets poses significant bottleneck advancing SAR automatic target recognition (ATR) technology. This paper introduces NUDT4MSTAR, dataset vehicle wild, including 40 types and wide array imaging conditions across 5 different scenes. NUDT4MSTAR represents leap forward scale, containing over...
With enrichment of tetracycline (TC) in ecosystems, its accurate detection has become a major concern. Noble‐metal nano‐particles have attracted great interest as potential materials for sensing applications because their remarkable electrical properties and adaptability. Herein, novel electro‐chemical technique based on carbon nano‐tubes (CNTs) the support material is developed to detect TC with high precision. To achieve characteristic response TC, composite electrode prepared by loading...
In this paper, the convolution neural networks (CNN) are developed for classification and localization of mixed near-field far-field sources by using geometry symmetric nested array. We first transform received data into frequency domain. Then, we preprocess phase difference matrix to decouple sources. Considering that counter-diagonal elements in only contain direction arrival (DOA) parameter each source, utilize upper right as input CNN estimate DOA source. order avoid influence noise,...
Vehicle recognition is a fundamental problem in SAR image interpretation. However, robustly recognizing vehicle targets challenging task due to the large intraclass variations and small interclass variations. Additionally, lack of datasets further complicates task. Inspired by analysis target signature deep learning explainability, this paper proposes novel domain alignment framework named Hierarchical Disentanglement-Alignment Network (HDANet) achieve robustness under various operating...
Due to the additional degrees of freedom, multiple-element cross-eye jamming (MCJ) can reduce tolerance sensitivity and increase effective sector angle. In this paper, we investigate retrodirective (MRCJ) based on linear array. The monopulse error gain are derived via trigonometric approximations. Moreover, excellent performances MRCJ in terms induced angular requirements demonstrated simulation results.
ZnGa 2 O 4 :Ni 2+ glass-ceramic exhibits a second near-infrared emission band peaking at 1240 nm and persistent luminescence properties.
Broadband NIR phosphors as light sources are receiving increasing attention.
Electrolysis of water to produce hydrogen is an efficient, clean, and environmentally friendly production method with unlimited development prospects. However, its overall efficiency hampered by the slow oxygen evolution reaction (OER) complex electron transfer processes. Therefore, designing efficient low-cost OER catalysts key solving this problem. In paper, Ir-doped Co2P/Fe2P (abbreviated as Ir-CoFeP/NF) was grown on nickel foam through strategies low amount noble-metal doping mild...