A5100339503- Direction-of-Arrival Estimation Techniques
- Data Management and Algorithms
- Power Systems and Technologies
- Antenna Design and Optimization
- PAPR reduction in OFDM
- Blockchain Technology Applications and Security
- Face and Expression Recognition
- Advanced Adaptive Filtering Techniques
- Metaheuristic Optimization Algorithms Research
- IoT and Edge/Fog Computing
- Advanced Wireless Communication Techniques
- Speech and Audio Processing
- Advanced SAR Imaging Techniques
- IPv6, Mobility, Handover, Networks, Security
- Smart Grid Security and Resilience
- Biometric Identification and Security
- Radar Systems and Signal Processing
- Face recognition and analysis
- Evolutionary Algorithms and Applications
- Age of Information Optimization
- Opportunistic and Delay-Tolerant Networks
- Cooperative Communication and Network Coding
- Power Line Communications and Noise
City University of Hong Kong
2025
Tianjin Normal University
2024
Hefei University of Technology
2023
NARI Group (China)
2021
Electric Power Research Institute
2021
Tianjin University of Science and Technology
2015
Zhejiang Science and Technology Information Institute
2014
Finger vein recognition is a biometric technology using finger veins to authenticate person, and due its high degree of uniqueness, liveness, safety, it widely used.The traditional Symmetric Local Graph Structure (SLGS) method only considers the relationship between image pixels as dominating set, uses relevant theories tap features.In order better extract features, taking into account location information direction image, this paper presents novel feature extraction method,...
It is desirable in many multi-objective machine learning applications, such as multi-task and reinforcement learning, to find a Pareto optimal solution that can exactly match given preference of decision-makers. These problems are often large-scale with available gradient information but cannot be handled very well by the existing algorithms. To tackle this critical issue, paper proposes novel predict-and-correct framework for locating exact solutions required decision maker. In proposed...
Abstract This article investigates the problem of robust direction‐of‐arrival (DOA) estimation with unknown sensor gain and phase uncertainties. A Dual‐Polarised Regularised Multiple FOCal Underdetermined System Solver is proposed to estimate 2‐D DOA for dual‐polarised conformal array. Each polarisation signal decomposed into two orthogonal components, which are regarded as a pair coherent signals, parameters merged waveform. sparse‐based method based on signals block presented, implementing...
A direction of arrival (DOA) estimation method for coherent signals is proposed based on an improved convolutional neural network (CNN) with attention mechanism. The real, imaginary and phase components the covariance matrix are employed as CNN multi-channel inputs. regression model adopted output which avoids grid mismatch problem caused by multi-classification output. Moreover, to enhance accuracy estimation, mechanism added CNN, could give more weight main features effectively. simulation...
Orthogonal frequency division multiplexing (OFDM) is the key technique of communication system. In this paper, coprime array designed in OFDM system to obtain joint direction arrival (DOA) and carrier offset (CFO) estimates. The proposed can achieve beamforming adaptive signal processing, reduce multipath fading, attain angle diversity. Meanwhile, has advantages extended aperture, increased degrees freedom, reduced mutual coupling effect, which adaptable Moreover, paper proposes a...