A5101733682- Direction-of-Arrival Estimation Techniques
- Antenna Design and Optimization
- Speech and Audio Processing
- Advanced SAR Imaging Techniques
- Alzheimer's disease research and treatments
- Mitochondrial Function and Pathology
- Advanced Neural Network Applications
- Advanced Adaptive Filtering Techniques
- Laser Applications in Dentistry and Medicine
- Non-Invasive Vital Sign Monitoring
- Control and Dynamics of Mobile Robots
- Radar Systems and Signal Processing
- Blind Source Separation Techniques
- Robotics and Sensor-Based Localization
- Radio Wave Propagation Studies
- Adaptive Control of Nonlinear Systems
- Vibration and Dynamic Analysis
- Bioinformatics and Genomic Networks
- Advanced Image and Video Retrieval Techniques
- Optical Imaging and Spectroscopy Techniques
- Indoor and Outdoor Localization Technologies
- Ship Hydrodynamics and Maneuverability
- Underwater Vehicles and Communication Systems
- Amino Acid Enzymes and Metabolism
- Synthetic Aperture Radar (SAR) Applications and Techniques
Washington University in St. Louis
2024
Zhejiang Ocean University
2023
Zhejiang University
2023
Air Force Engineering University
2017-2022
Ship detection in large-scale synthetic aperture radar (SAR) images has achieved breakthroughs as a result of the improvement SAR imaging technology. However, there still exist some issues due to scattering interference, sparsity ships, and dim small ships. To address these issues, an anchor-free method is proposed for ship images. First, fully convolutional one-stage object (FCOS) baseline applied detecting ships pixel by pixel, which can eliminate effect anchors avoid missing Then,...
Ship detection in synthetic aperture radar (SAR) images has been widely applied maritime management and surveillance. However, some issues still exist SAR ship due to the complex surroundings, scattering interferences, diversity of scales. To address these issues, an improved anchor-free method based on FCOS + ATSS is proposed for images. First, as baseline detect ships pixel by pixel, which can eliminate effect anchors avoid missing detections. Then, residual module (IRM) a deformable...
Reduced brain energy metabolism, mammalian target of rapamycin (mTOR) dysregulation, and extracellular amyloid beta (Aβ) oligomer (xcAβO) buildup are some well-known Alzheimer's disease (AD) features; how they promote neurodegeneration is poorly understood. We previously reported that xcAβOs inhibit nutrient-induced mitochondrial activity (NiMA) in cultured neurons. now report NiMA disruption vivo.
Abstract Introduction Reduced brain energy metabolism, mTOR dysregulation, and extracellular amyloid-β oligomer (xcAβO) buildup characterize AD; how they collectively promote neurodegeneration is poorly understood. We previously reported that xcAβOs inhibit N utrient-induced M itochondrial A ctivity (NiMA) in cultured neurons. now report NiMA disruption vivo . Methods Brain metabolism oxygen consumption were recorded APP SAA/+ mice using two-photon fluorescence lifetime imaging...
Direction finding is a hot research area in radar and sonar systems. In the case of q ≥ 2, 2qth-order cumulant based direction arrival (DOA) estimation algorithm for 2q-level nested array can achieve high resolution performance. A virtual difference co-array, which contains O(N2q) sensors form uniform linear (ULA), yielded Gaussian noise eliminated. However, some elements are separated by holes among co-array cannot be fully used. Even though application multi-frequency method minimum...
We report a fiber-optic sensor that can be deployed through standard 250-µm injection needle (25 gauge) for minimally invasive measurements of deep-tissue biomechanical properties in vivo. have demonstrated the sensor's ability to provide distinct readouts muscle stiffness when hind limb rat is relaxed and stretched. To ensure minimal tissue damage distortion, we integrated optical proximity sensing within same fiber real-time, precise control position. facilitate clinical translation,...
In this paper, we initiated a method to estimate the direction of arrival (DOA) far-field, narrowband, and incoherent targets using coprime array. First, proposed array structure analysed distribution difference coarray (DCA). The degrees freedom (DOF) became clearer by referring DCA conception. However, previous algorithm only uses continuous virtual array, which causes elements in repeated position being abandoned. Therefore, paper analyses based on conception averages receiving signal...
Nested array can expand the degrees of freedom (DOF) from difference coarray perspective, but suffering performance degradation direction arrival (DOA) estimation in unknown non-uniform noise. In this paper, a novel diagonal reloading (DR) based DOA algorithm is proposed using recently developed nested MIMO array. The elements main sample covariance matrix are eliminated; next smallest MN - K eigenvalues revised obtained and averaged to estimate sum value signal power. Further estimated...
Due to the superiority in target detection, anti-jamming and parameter estimation of targets, Multiple-input multiple-output (MIMO) radar has attracted wide attention. However, good performance direction finding is achieved on assumption that all elements antenna are ideal circumstances. In practice, will suffer from some uncertainties caused by electromagnetic environment such as mutual coupling amplitude phase error, which lead decreases or even failure. A novel array geometry for nested...
The 2q-level nested array has been studied for its high resolution performance in direction-of-arrival (DOA) estimation. combination of the 2qth-order cumulant and difference coarray will further improve degrees freedom (DOFs) array. However some holes. In this paper, multi-frequency method is applied to fill holes, so that a much longer uniform linear (ULA) formed. effective DOFs are thus expanded DOA estimation improved. Simulations conducted validate proposed method.
Sparse arrays, which can localize multiple sources with less physical sensors, have attracted more attention since they were proposed. However, for optimal performance of sparse it is usually assumed that the circumstances are ideal. But in practice, arrays will suffer from model errors like mutual coupling, gain and phase error, sensor’s location causes severe degradation or even failure direction arrival (DOA) estimation algorithms. In this study, we follow interest propose a...
Here, a high-precision mutual coupling coefficient estimation method is proposed that more suitable for adaptive beamforming than traditional algorithms. According to the relationship between designed transition matrix and signal, algorithm selects corresponding high-power signal. The of obtained by using selected estimation, which yields relatively good accuracy when desired signal-to-noise ratio (SNR) low robust with unknown coupling. Simulation results demonstrate validity method.