A5100434898- Direction-of-Arrival Estimation Techniques
- Radar Systems and Signal Processing
- Speech and Audio Processing
- Advanced SAR Imaging Techniques
- Blind Source Separation Techniques
- Gait Recognition and Analysis
- Wireless Signal Modulation Classification
- Video Surveillance and Tracking Methods
- Aquaculture disease management and microbiota
- Indoor and Outdoor Localization Technologies
- Antenna Design and Optimization
- Sparse and Compressive Sensing Techniques
- Advanced Wireless Communication Technologies
- Advanced Adaptive Filtering Techniques
- Network Time Synchronization Technologies
- Software-Defined Networks and 5G
- Advanced Measurement and Detection Methods
- Image and Signal Denoising Methods
- Privacy-Preserving Technologies in Data
- Cooperative Communication and Network Coding
- Food Quality and Safety Studies
- Human Pose and Action Recognition
- Error Correcting Code Techniques
- Reservoir Engineering and Simulation Methods
- Biometric Identification and Security
Tianjin University
2016-2025
Liaoning Planning and Design Institute of Post and Telecommunication
2024
Ministry of Agriculture and Rural Affairs
2020-2024
China State Shipbuilding (China)
2021-2024
Chinese Academy of Fishery Sciences
2018-2024
Tianjin University of Science and Technology
2024
Ministry of Natural Resources
2024
Hangzhou Wanxiang Polytechnic
2024
Nanjing University of Posts and Telecommunications
2015-2023
Naval University of Engineering
2022
Sparse linear arrays (SLAs) can be designed in a systematic way, with the ability for underdetermined DOA estimation where greater number of sources detected than that sensors. In this paper, as first stage, new design named multi-subarray dilated nested array (MDNA), whose difference co-array (DCA) proved to hole-free, is firstly proposed by introducing sparse ULA and multiple identical dense ULAs appropriate sub-ULA spacings. The MDNA will degenerate into under specific conditions, uniform...
A three-dimensional (3-D) near-field (NF) source localization method is introduced for a bistatic multiple-input multiple-output (MIMO) radar system equipped with arbitrary electromagnetic vector sensors (EMVSs) at both the transmitter and receiver. Firstly, to obtain estimates of steering matrices transmitting array receiving array, tensor decomposition performed on covariance matrix outputs. Then, multiple parameters targets, including two-dimensional direction-of-departure (2D-DOD), range...
Occlusion is one of the most challenging problems in depth estimation. Previous work has modeled single-occluder occlusion light field and get good results, however it still difficult to obtain accurate for multi-occluder occlusion. In this paper, we explore model field, derive occluder-consistency between spatial angular space which used as a guidance select un-occluded views each candidate point. Then an anti-occlusion energy function built regularize map. The experimental results on...
In this paper, an underdetermined threedimensional (3-D) near-field source localization method is proposed, based on a two-dimensional (2-D) symmetric nonuniform cross array. Firstly, by utilizing the coprime array along x-axis, fourth-order cumulant (FOC) matrix constructed, followed vectorization operation to form single virtual snapshot, which equivalent received data of observing from far-field sources, generating increased number degrees freedom (DOFs) compared original physical...
In this paper, a new high-resolution approach called fourth-order cumulants-based Toeplitz matrices reconstruction (FOC-TMR) method, is presented for two-dimensional (2-D) direction-of-arrival (DOA) estimation of incident narrowband coherent signals. The angle problem addressed by arranging the cumulants elements received signals from two parallel uniform linear arrays (ULAs) to matrices. Gaussian noise cases, it shown that ranks equal number incoming waves and are independent their...
Unknown mutual coupling effect can degrade the performance of a direction arrival estimation method. In this letter, new method is proposed for uniform linear arrays (ULAs) to tackle problem. Considering sparse representation exploiting inherent structure received data, effective block and convex optimization problem are constructed using steering vector parameterizing The solution based on l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Context: Automatic classification of crowdsourced test reports is important due to their tremendous sizes and large proportion noises. Most existing approaches towards this problem focus on examining the performance different machine learning or information retrieval techniques, most are evaluated open source dataset. However, our observation reveals that these generate poor unstable performances real industrial testing data. We further analyze deep reason find data have significant local...
With the applications of deep learning networks booming in physical layer communication, deep-learning-based channel decoding methods have become a research hotspot. However, high complexity hinders application neural network (DNN) on long code. In this paper, we propose model-driven method for normalized min-sum (NMS) low-density parity-check (LDPC) decoding. First, (NNMS) LDPC network. By unfolding iterative progress between checking nodes (CNs) and variable (VNs) into feedforward...
The introduction of atomically dispersed Fe atoms can modulate the PMS activation pathway; that is, radical-mediated process accelerated by graphitic N is attenuated, in turn boosting electron-transfer-mediated nonradical processes.
This monograph presents an overview of universal estimation information measures for continuous-alphabet sources. Special attention is given to the mutual and divergence based on independent identically distributed (i.i.d.) data. Plug-in methods, partitioning-based algorithms, nearest-neighbor algorithms as well other approaches are reviewed, with particular focus consistency, speed convergence experimental performance.
In a smart home environment, assisted living has been topic of great research over the past decade. Human motion analysis is considered as key technology for states recognition in an system. Recent proved that rich information can be obtained from human movements, such category, moving patterns, and identity. this paper, nonintrusive movement sensing system established with mono-static ultrawide bandwidth radar. Then, we propose well-designed joint classification (MCL) person identification...
Unlike face recognition, gait recognition does not require the cooperation of human targets, making it an attractive research area in both academia and industry. While there has been extensive recent years on feasibility employing radar micro-Doppler signatures for little conducted how to deal with unknown target detection micro-Doppler-based problems, referred as 'open-set' recognition. In this case, is probable that samples will resemble known samples, hence increasing likelihood...
Two-dimensional (2-D) direction-of-arrival (DOA) estimation method using three-parallel uniform linear arrays (ULAs) is proposed in this letter. The 2-D DOA problem addressed by making full use of elements the ULAs. Furthermore, algorithm has better angle performance practical mobile elevation angles between 70° and 90° can automatically pair estimated azimuth with lower complexity. Simulation results demonstrate effectiveness algorithm.
Standard-essential patents (SEPs) are an important technological resource for firms in the telecommunication industry. The utilisation of topic analysis to reveal global development dynamics SEPs has significant theoretical and practical implications. First, this study defines phrase extraction rules constructs a importance evaluation model extract key technical phrases patent text. Second, extracted used as input Latent Dirichlet Allocation (LDA) model, relative independence (RI) is...
Direction-of-arrival (DOA) estimation using sub-Nyquist tensor signals benefits from enhanced performance by extracting structural angular information with multi-dimensional sparse arrays. Although convolutional neural network (CNN) has been employed to achieve efficient DOA in challenging conditions, conventional methods demand excessive memory storage and computation power process statistics. In this letter, we propose a decomposed CNN for tensor-based 2-D estimation, where an augmented...
The integrated sonar and communication (ISC) system plays an important role in smart ocean engineering, owing to its convenience environmental perception communication. characteristics of the signal processing methods are critical ISC system's performance. Orthogonal chirp division multiplexing (OCDM) is considered as a potential due robustness well excellent detection However, insufficient bandwidth subcarrier spacing can significantly degrade performance OCDM-based severe Doppler expansion...