- Cooperative Communication and Network Coding
- Network Security and Intrusion Detection
- Radar Systems and Signal Processing
- Advanced MIMO Systems Optimization
- UAV Applications and Optimization
- Robotic Path Planning Algorithms
- Robotics and Sensor-Based Localization
- Anomaly Detection Techniques and Applications
- Air Traffic Management and Optimization
- Advanced SAR Imaging Techniques
- Direction-of-Arrival Estimation Techniques
- Mobile Ad Hoc Networks
- Internet Traffic Analysis and Secure E-voting
- Advanced Data Storage Technologies
- Advanced Wireless Network Optimization
- Distributed and Parallel Computing Systems
- Smart Parking Systems Research
- Advanced Antenna and Metasurface Technologies
- Power Line Communications and Noise
- Microwave Engineering and Waveguides
- Autonomous Vehicle Technology and Safety
- Advanced Malware Detection Techniques
- Advanced Wireless Communication Technologies
- Underwater Acoustics Research
- Indoor and Outdoor Localization Technologies
Qingdao University
2025
University of Louisville
2021-2024
Shanghai University
2024
Beijing Jiaotong University
2023
Griffith University
2023
Beijing Microelectronics Technology Institute
2023
Washington University in St. Louis
2023
National University of Defense Technology
2021-2022
Guangxi University of Science and Technology
2020-2022
Minzu University of China
2022
Extremely large-scale multiple-input-multipleoutput (XL-MIMO) is a promising technology to empower the next-generation communications.However, XL-MIMO, which still in its early stage of research, has been designed with variety hardware and performance analysis schemes.To illustrate differences similarities among these schemes, we comprehensively review existing XL-MIMO designs characteristics this article.Then, thoroughly discuss research status from "channel modeling", "performance...
As online services have more and popular, incident diagnosis has emerged as a critical task in minimizing the service downtime ensuring high quality of provided. For most services, is mainly conducted by analyzing large amount telemetry data collected from at runtime. Time series event sequence are two major types data. Techniques correlation analysis important tools that widely used engineers for data-driven diagnosis. Despite their importance, there been little previous work addressing...
This paper examines moving target detection in distributed multi-input multi-output radar with sensors placed on platforms. Unlike previous works which were focused stationary platforms, we consider explicitly the effects of platform motion, exacerbate location-induced clutter non-homogeneity inherent such systems and thus make problem significantly more challenging. Two new detectors are proposed. The first is a sparsity based detector which, by exploiting sparse representation Doppler...
Background/Objectives: Phosphodiesterase 7 (PDE7), a member of the PDE superfamily, selectively catalyzes hydrolysis cyclic adenosine 3′,5′-monophosphate (cAMP), thereby regulating intracellular levels this second messenger and influencing various physiological functions processes. There are two subtypes PDE7, PDE7A PDE7B, which encoded by distinct genes. PDE7 inhibitors have been shown to exert therapeutic effects on neurological respiratory diseases. However, FDA-approved drugs based...
The school bus routing problem (SBRP) seeks to the optimal routes for a fleet of buses transport students schools. To share resources between schools, with mixed load plan (SBRP-MLP) is proposed in this paper, which are allowed pick up different schools and deliver them their This paper presents two modes, SBRP-MLP virtual stops interscholastic transportation. solve SBRP-MLPs efficiently, two-stage heuristic algorithm developed. results several tests suggest that modes take less time than...
As research advances diverse forms and missions of aircraft, the National Airspace System (NAS) will become increasingly crowded, limiting current aviation spectrum to accommodate future air operations. To tackle this challenge, concept intelligent management is proposed for autonomous dynamic resource allocations, where accurate aircraft position estimation one crucial tasks. However, on flight trajectory prediction has been limited in its scope efforts, frequently utilizing a unique route,...
In this paper, a knowledge-aided parametric adaptive matched filter (KA-PAMF) is proposed that utilizing both observations (including the test and training signals) priori knowledge of spatial covariance matrix. Unlike existing KA-PAMF methods, able to automatically adjust combining weight matrix, thus gaining enhanced robustness against uncertainty in prior knowledge. Meanwhile, significantly more efficient than its KA nonparametric counterparts when amount signals limited. One distinct...
The emergence of new aerial vehicles into the airspace and continued growth aviation operations will result in an increased demand for voice data communications throughout National Airspace System (NAS). However, recent studies have shown that use existing spectrum allocations not meet anticipated needs future aerospace applications; as a result, approach to management is needed support forecasted users. Aeronautics Space Administration investigating modern advancements wireless...
Different from the phased-array using same carrier frequency for each transmit element, diverse array (FDA) uses a small offset across elements to produce range-angle-dependent beampattern. FDA radar provides new application capabilities and potentials due its range-dependent beampattern, but linearly increasing offsets will range angle coupled In order decouple range-azimuth beampattern radar, this paper proposes uniform linear (ULA) Costas-sequence modulated random-like energy distribution...
The development of future technologies for the National Airspace System (NAS) will be reliant on a new communications infrastructure capable managing limited available spectrum among aircraft and ground systems. Emerging approaches to autonomous allocation aviation mostly rely machine learning techniques, where 4D (longitude, latitude, altitude, time) trajectory prediction is an important data input enable real-time resource allocation. This study explores evaluates effective sources deep...
The emerging applications of the Internet Things (IoT), such as driverless cars, have an increasing need for precise vehicle positioning. Inertial navigation systems (INSs) became a possible component autonomous driving due to low computational load, fast response, and high autonomy. However, error accumulation presents significant challenge. Although nonholonomic constraints (NHCs) odometry (ODO) been demonstrated improve INS, NHC is not always reliable, ODO often inaccessible in many...
As the airspace is experiencing an increasing number of low-altitude aircraft, concept spectrum sharing between aerial and terrestrial users emerges as a compelling solution to improve utilization efficiency. In this paper, we consider new Aerial Terrestrial Hybrid Network (ATHN) comprising vehicles (AVs), ground base stations (BSs), (TUs). ATHN, AVs BSs collaboratively form multi-hop ad-hoc network with objective minimizing average end-to-end (E2E) packet transmission delay. Meanwhile, TUs...
Rapidly repeating the original packet multiple times has been found to improve probability of successful reception a in error-prone vehicular communication environment. However, since each repetition increases channel load, performance repetition-based loss recovery starts deteriorate with increasing number vehicles on road. This paper explores benefit Network Coding improving for safety communications. A simple network coded scheme is proposed, which combines (XORs) packets from close-by...
With the emergence of new aerial vehicles into airspace and continued growth aviation operations, there will be an increasing demand for voice data communications within National Airspace System (NAS). The use existing VHF UHF frequency allocations is not a sustainable approach, as result, spectrum management solution required to support future mission needs. proposed concepts leverage modern advancements such artificial intelligence (AI) big dynamically optimize utilization based on...
This paper examines moving target detection (MTD) in distributed multi-input multi-output (MIMO) radar with sensors placed on platforms. Unlike previous works which were focused the case of stationary platforms, we consider explicitly effects platform motion, exacerbate location-induced clutter non-homogeneity inherent such systems and thus make MTD problem significantly more challenging. We propose a sparsity based detector which, by exploiting sparse representation Doppler domain,...
In this paper, a knowledge-aided parametric adaptive matched filter (KA-PAMF) is proposed that utilizing both observations (including the test and training signals) priori knowledge of spatial co-variance matrix. Unlike existing KA-PAMF methods, able to automatically adjust combining weight covariance matrix, thus gaining enhanced robustness against uncertainty in prior knowledge. Meanwhile, significantly more efficient than its KA non-parametric counterparts when amount signals limited. One...
Different from a phased-array, frequency diverse array (FDA) offers range-dependent beampattern. By jointly utilizing the advantages of cognitive radar in environment sensing and FDA with transmit beampattern, this paper proposes target tracking scheme using for increased output signal-to-interferences plus noise ratio (SINR) performance due to its interference suppression capability. The proposed method can avoid undesired strong interferences focus desired targets by optimizing increment...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> A joint source-channel multiple description (JSC-MD) framework for signal estimation and communication in resource-constrained lossy networks is presented. To keep the encoder complexity at a minimum, coded by quantizer (MDQ) with neither entropy nor channel coding. The code diversity of MDQ path network are exploited decoders to combat transmission errors. key design objective resource...
Online compression of I/O-data streams in Custom Computing Machines will enhance the effective network band-width computing systems as well storage bandwidth and capacity. In this paper a self-adaptive dynamic partial reconfigurable architecture for online is proposed. The proposed bring new possibilities due to its adaptivity environments. study, traffic, input data distribution are considered two behaviors. degree improvement provided by depends on distribution, bandwidth, available...
This paper studies the Multiple Sources and Destinations (MSMD) routing problem in a dynamic Air-to-Air Ad-hoc Network (AAAN). We consider spectrum-limited scenario where multiple links have to share same frequency channel so that co-channel interference becomes inevitable. As result, decisions spectrum access are coupled must be jointly considered. proposes deep Q-learning-based algorithm find an optimal selection strategy minimizes end-to-end communication delay. Specifically, under...
In order to meet the needs of complex and changeable working environment indoor outdoor navigation route distribution such as AGV mobile robot, integrated method differential GNSS Lidar SLAM is proposed. Firstly, accuracy positioning information improved by using system outdoors. At same time, stability combination INS system. The geodetic coordinate transformed into plane Gauss projection method, position posture obtained double antenna measurement method; algorithm used indoors obtain pose...