A5100353515- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
- Direction-of-Arrival Estimation Techniques
- Distributed Sensor Networks and Detection Algorithms
- Advanced Adaptive Filtering Techniques
- Microwave Imaging and Scattering Analysis
- Speech and Audio Processing
- Control Systems and Identification
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Sensor and Control Systems
- Digital Marketing and Social Media
- Human Mobility and Location-Based Analysis
- Data-Driven Disease Surveillance
- Ocean Waves and Remote Sensing
- Long-Term Effects of COVID-19
- Aerodynamics and Fluid Dynamics Research
- Advanced Optical Sensing Technologies
- COVID-19 Clinical Research Studies
- Prostate Cancer Diagnosis and Treatment
- Cognitive Radio Networks and Spectrum Sensing
- Underwater Acoustics Research
- Remote-Sensing Image Classification
- Human-Automation Interaction and Safety
- Wireless Signal Modulation Classification
- Icing and De-icing Technologies
Wuhan Branch of the National Science Library
2024-2025
Huaqiao University
2024
Southwest University of Science and Technology
2023
Xi'an University of Technology
2023
University of Maryland, Baltimore County
2022
Shanghai Industrial Technology Institute
2022
Huazhong University of Science and Technology
2021
Tongji Hospital
2021
Fujian Institute of Research on the Structure of Matter
2020
Chinese Academy of Sciences
2020
More and more researchers are studying the heat transfer performance of aeronautical materials at high temperatures. In this paper, we use a quartz lamp to irradiate fused ceramic materials, sample surface temperature flux distribution were obtained heating power 45~150 kW. Furthermore, properties material analyzed using finite element method effect flow on internal field was investigated. The results show that fiber skeleton structure has significant thermal insulation fiber-reinforced...
Dysregulated immune response and abnormal repairment could cause secondary pulmonary fibrosis of varying severity in COVID-19, especially for the elders.The Krebs Von den Lungen-6 (KL-6) as a sensitive marker reflects degree this study will focus on analyzing evaluative efficacy predictive role KL-6 COVID-19 fibrosis.The lasted more than three months included total 289 patients who were divided into moderate (n=226) severe groups (n=63) according to illness.Clinical information such...
The distributed multiple-input multiple-output (MIMO) radar observes targets from different angles, which can overcome the adverse effects of target glint and avoid situation where target’s tangential flight cannot be effectively detected by radar, thus providing great advantages in detection. However, MIMO often encounters a scarcity training samples for To this difficulty, paper proposes Bayesian approach. By modeling signal as subspace signal, each transmit–receive pair possesses distinct...
Visual anomaly detection is a highly challenging task, often categorized as one-class classification and segmentation problem. Recent studies have demonstrated that the student-teacher (S-T) framework effectively addresses this challenge. However, most S-T frameworks rely solely on pre-trained teacher networks to guide student in learning multi-scale similar features, overlooking potential of enhance through feature fusion. In study, we propose novel model named PFADSeg, which integrates...
In a distributed frequency-modulated continuous waveform (FMCW) radar system, the echo data collected are not in azimuth direction, so imaging effect of traditional range-Doppler (RD) algorithm is poor. Sparse Bayesian learning (SBL) an optimization based on theory that has been successfully applied to high-resolution because its strong robustness and high accuracy. However, SBL highly computationally complex. Fortunately, with FMCW data, most time-consuming operations involve Toeplitz-block...
We present an improved kernel recursive least squares (KRLS) algorithm for the online prediction of nonstationary time series. In order to adaptively sparsify a selected dictionary KRLS algorithm, approximate linear dependency (ALD) criterion based is combined with quantized provide initial framework. sufficiently track strongly changeable dynamic characteristics due nonstationarity, forgetting factor further inserted into proposed algorithm. It shown that our referred as FFIKRLS provides...
Sea clutter is a kind of ubiquitous interference in sea-detecting radars, which will definitely influence target detection. An accurate sea prediction method supposed to be beneficial while existing methods are based on the one-step-ahead prediction. In this paper, network (SCPNet) proposed achieve k-step-ahead characteristics clutter. The SCPNet takes sequence-to-sequence (Seq2Seq) structure as backbone, and simple self-attention module employed enhance ability adaptive feature selections....
Human mobility patterns have been investigated on a macroscale ranging from intra-city and intercity to intra-country based mobile phone data. However, few studies conducted micro-view characterize group-level human behavior with respect point of interest (POI). In this paper, we intend explore the differences in across those groups community members at specific POI. First, an appearance probability estimation algorithm is proposed detect individual frequent locations for each user,...
A distributed MIMO radar system consists of multiple transmitters, receivers, and a fusion center where the final target detection decision is made. It has previously been shown that offers improved performance compared with conventional due to increased diversity degrees freedom. However, as complicated system, it vulnerable cybersecurity attacks against its three key components: communication links connect them center. In this paper, we investigate impact on radar. We show degrades very...
According to the idea of cognitive radar, frequency increment in diverse array (FDA) needs be adaptively adjusted changed environments so that FDA's anti-jamming performance always is optimal. The nonlinear can eliminate traditional FDA beam's periodicity range and form a single peak beam, which helpful detection target. In view this, this paper presents optimal selection method. 2It derives intrinsic relationship between output SINR increment. Within coherent processing interval (CPI),...
Abstract Aiming at the dense false target jamming, existing research does not consider problems of true and identification position estimation same time. A method jamming suppression is proposed based on multiple-input multiple-output frequency diverse array (FDA-MIMO) radar network, which makes full use different characteristics targets in space-time two-dimensional range distribution. It discriminates locates sources transmit-receive domain. Then other radars information sharing network...
When the training data contains target signals and steering vector mismatch for multiple-input multiple-output with frequency diverse array (FDA-MIMO) radar, performance of mainlobe jamming suppression will be sharply declined. Considering that nonlinear FDA-MIMO radar has no grating lobes in range dimension, an exponential method combining diagonal loading eigenvector elimination (DL-EVE) is proposed, which make full use correlation between signal subspace. Simulations show under conditions...
Marine target detection under diverse sea conditions has been a research hotspot. An effective clutter suppression method is supposed to be beneficial marine detection. However, traditional model-driven methods are likely suffer from the model mismatch problem. To overcome these problems, we propose data-driven based on an image-to-image neural network. The proposed first takes complex-valued range-Doppler (RD) images as inputs by concatenating real and imaginary parts. designed network then...
Mainlobe jamming (MLJ) brings a big challenge for radar target detection, tracking, and identification. The suppression of MLJ is hard task an open problem in the electronic counter-counter measures (ECCM) field. Target parameters direction estimation difficult MLJ. A parameter method via atom-reconstruction proposed this paper. can suppress simultaneously provide high accuracy range angle. Precisely, eigen-projection matrix processing (EMP) algorithm adopted to MLJ, estimated effectively...
An unsupervised learning-based blind RF scene analysis method is proposed. The can analyze a complex radio containing mixture of different transmission types and estimate the constituent signals with associated channel vectors from multi-antenna measurements. A deep neural network trained to learn unique time-frequency patterns various signal types. channels, noise powers, encodings input are estimated in maximum likelihood framework via an expectation-maximization algorithm. Numerical tests...
Multiple input multiple output with frequency diversity array (FDA-MIMO) radar has unique advantages in mainlobe deception jamming suppression and target location. However, if the training sample contains signal, it will lead to poor performance large measurement error. To deal problem, a method of coarse location time domain is proposed based on cumulative sampling analysis. Taking full strongest correlation characteristic between expected steering vector true target, feature value...