- Speech and Audio Processing
- Direction-of-Arrival Estimation Techniques
- Indoor and Outdoor Localization Technologies
- Antenna Design and Optimization
- Advanced Authentication Protocols Security
- Advanced Adaptive Filtering Techniques
- Complex Network Analysis Techniques
- Neural Networks Stability and Synchronization
- Cryptography and Data Security
- Peer-to-Peer Network Technologies
- Opinion Dynamics and Social Influence
- Neural dynamics and brain function
- Ultra-Wideband Communications Technology
- Functional Brain Connectivity Studies
- Photoacoustic and Ultrasonic Imaging
- Wireless Networks and Protocols
- User Authentication and Security Systems
- IoT and Edge/Fog Computing
- EEG and Brain-Computer Interfaces
- Robotics and Sensor-Based Localization
- Age of Information Optimization
- Image and Signal Denoising Methods
- Frequency Control in Power Systems
- PAPR reduction in OFDM
- Security in Wireless Sensor Networks
Nanjing University of Aeronautics and Astronautics
2020-2022
Ministry of Industry and Information Technology
2020-2021
NARI Group (China)
2019-2021
Electric Power Research Institute
2021
China Mobile (China)
2020
University of Electronic Science and Technology of China
2016
Introduction The neural mechanisms that underpin cognitive impairments in patients with schizophrenia remain unclear. Previous studies have typically treated as a homogeneous group, despite the existence of distinct symptom presentations between deficit and non-deficit subtypes. This approach has been found to be inadequate, necessitating separate investigation. Methods study was conducted at Daizhuang Hospital Jining City, China, from January 2022 October 2023. sample comprised 30 healthy...
In this letter, two-dimensional (2D) direction of arrival (DOA) estimation using one-dimensional (1D) nested array motion is studied, and an improved Discrete Fourier transform (DFT) algorithm proposed. Exploiting to move vertically along its axis enables 2D DOA with large-scale hole-free difference co-array. DFT has lower complexity than multiple signal classifications(MUSIC) method, but traditional still requires extra searches ensure accuracy. We use obtain the initial angle estimations,...
Power Internet of Things (PIoT) is a promising solution to meet the increasing electricity demand modern cities, but real-time processing and analysis huge data collected by devices challengeable due limited computing capability long distance from cloud center. In this paper, we consider edge assisted PIoT where tasks can be either processed locally devices, or offloaded servers. Aiming maximize long-term system utility which defined as weighted sum reduction in latency energy consumption,...
In this paper, a low complexity direction of arrival (DOA) estimation method for massive uniform circular array (UCA) with single snapshot is proposed. Firstly, the coarse DOAs are estimated by finding peaks from convolution between fixed coefficient vector and received data vector. Thereafter, in order to refine DOA estimates, we reconstruct matrix based on estimations take first Taylor expansion offsets into account. Finally, refined obtained compensating offsets, which via least squares...
Compared with nested array, coprime array can significantly alleviate the mutual coupling between sensors due to sparser structure. However, plenty of holes in its difference co-array extremely reduce achievable number uniform degrees freedom(uDOFs). In this letter, a prime integer 3(CAP-3) is proposed, contrast several well-known arrays, which offer comparable uDOFs, and simultaneously. Specifically, CAP-3 consists three appropriately placed subarrays, it eradicate most except two at both...
The ultra-wideband (UWB) system, which transmits information using nanosecond or even sub-nanosecond pulses, has been widely applied in precise positioning. In this paper, we investigate the problem of time arrival (TOA) estimation and direction (DOA) UWB systems with antenna array propose a joint TOA DOA algorithm doubled frequency sample points extended number clusters. Specifically, proposed uses two antennas to receive impinging signals utilizes conjugate symmetry characteristic delay...
Direction of arrival (DOA) estimation using the improved unfolded coprime array (IUFCA) subject to motion isdiscussed in this study. Unfolded (UFCA) consists two uniform linear subarrays, and subarrays are arranged at different sides theaxis, which leads a large number holes difference co-array (DCA). With DCA synthesis,part can be filled, but there still center lead virtual arrays separated.By analyzing hole positions synthetic generated by UFCA motion, authors improve originalUFCA...
Abstract Orthogonal frequency division multiplexing (OFDM) technology is an important modulation in wireless communication. One of the main disadvantages OFDM system that it very sensitive to carrier deviation. Therefore, estimation deviation one key technologies system. In this paper, global search Capon algorithm improved, and a local proposed. Simulation results show has low complexity high performance. search, P spectral peaks are superimposed, which can effectively overcome problem...
This paper analyzes the advantages and disadvantages of existing 3GPP WLAN-4G converged network access authentication protocol EAP-AKA. Aiming at design power private network, this introduces WAPI certificate mechanism designs an WEAP. The proposed WLAN4G interconnection structure model in solve problem unified for WLAN terminals a networking environment. Analysis simulation results show that compared with original protocol, WAPI-XG1, has higher security execution efficiency.
The number of Power LTE Private Network access terminals has increased sharply, which impacted the traditional centralized authentication mechanism. In response to this problem, paper proposes a lightweight and scalable multi-user broadcast protocol. Compression cloth is used in multi-level μ TESLA, Bloom filter replaces process binding TESLA key chain by Merkel tree. protocol properties such as long duration self-healing. By allocating appropriate storage space at each receiving end,...
Traditional two‐step passive localization methods need to extract the parameters like direction of arrival (DOA), time (TOA), and difference (TDOA) from original data determine source position, which causes poor positioning accuracy due error accumulation. In this paper, a direct position determination (DPD) method is proposed improve robustness, based on correlation algorithm. Firstly, cost function directly related location can be established by synthesizing received multiantenna in...
With the development of Internet Things technology, popularization mobile smart terminals and improvement city construction, it has laid foundation for economy. To provide protectable privacy preserving authentication mechanism IoT devices accessing, an anonymous based on proxy signature knowledge technology is proposed protection user's identity. In this mechanism, firstly, facility authenticates identity middle agent through then verifies whether user authorized by submitted user. And...
Aiming at the issue of parameter matching in conventional two-step location, a reduced dimension multiple signal classification direct position determination algorithm based on multi-array is proposed. Based idea reduction, avoids multi-dimensional search spatial domain and attenuation coefficient reduces complexity. Simulation results show that performance better than traditional angle arrival localization subspace data fusion algorithm.
Finding the key nodes of network is one most important applications in Community Detection. This paper combined Centrality, Cluster Coefficient and PageRank ideas, establish measurement system according to Kendal correlation coefficient each index modify system. Finally, using Fagin algorithm carry on multidimensional query, get Top-K ranking. The simulation demonstrates effectiveness proposed methods.
With a similar mechanism of processing spikes as biological neural systems, spiking networks (SNNs) are expected to perform better performance than traditional rate based networks. Despite the progress in application SNNs, how does brain learn information from codes remains an open question. To train neuron output desired spike trains, many learning methods have been proposed, and can be mainly divided into two classes: spike-driven membrane potential-driven methods. Moreover, different...
In this paper, we mainly do the research about non-overlapping community discovery. We use GN algorithm and LP to test randomly generated network, compare two algorithms in layers, which are time complexity level, static network's synchronization capability level. The simulation results show that applicable different scenes.
The accuracy of conventional two-step location methods is insufficient since the information loss problem in parameter matching procedure. In this paper, we propose a Reduced Dimension Direct Position Determination with Capon (RD-DPD-Capon) algorithm. By introducing idea dimension reduction, proposed algorithm avoids grid search along attenuation coefficient domain. Therefore, RD-DPD-Capon has relatively low computational complexity. Meanwhile, inherits high resolution and localization...