A5100460460- Target Tracking and Data Fusion in Sensor Networks
- Indoor and Outdoor Localization Technologies
- UAV Applications and Optimization
- Robotic Path Planning Algorithms
- Radar Systems and Signal Processing
- Robotics and Sensor-Based Localization
- Advanced Measurement and Detection Methods
- Guidance and Control Systems
- 3D Shape Modeling and Analysis
- Distributed Control Multi-Agent Systems
- Advanced Decision-Making Techniques
- Underwater Vehicles and Communication Systems
- Elevator Systems and Control
- Inertial Sensor and Navigation
- Smart Parking Systems Research
- Simulation Techniques and Applications
- Systems Engineering Methodologies and Applications
- Military Defense Systems Analysis
- Radio Wave Propagation Studies
- Advanced Control Systems Optimization
- Traffic control and management
- Generative Adversarial Networks and Image Synthesis
- Reinforcement Learning in Robotics
- Cellular Automata and Applications
- RNA modifications and cancer
Zhejiang University
2024
China University of Petroleum, Beijing
2024
Hangzhou City University
2024
Deakin University
2022-2023
University of California, San Diego
2018-2022
Shandong University of Science and Technology
2022
Anhui Jiyuan Software
2021
The University of Melbourne
2020
Marconi University
2020
Central Michigan University
2020
Reconnaissance mission has a wide application in both civil and military fields, which provides intelligence basis for the following decision-making to accomplish certain goals. Due numerous advantages of UAV swarms such as strong flexibility, high efficiency, low cost, conducting reconnaissance missions by become trend future. However, path planning problem is key challenge aspect model construction, algorithm, selection computational complexity, especially when complicated. In this paper,...
In this paper, the angle-of-arrival (AOA) measurements are adapted to locate a target using UAV swarms equipped with passive receivers. The measurement noise is considered be target-to-receiver distance dependent. Cramer-Rao low bound (CRLB) of AOA localization calculated, and optimal deployments explored through changing angular separations distances. Then, distributed collaborative autonomous generation (DCAG) method proposed based on deep neural network (NN). off-line training on-line...
Source localization based on the hybrid time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements from distributed sensors is an essential problem in wireless sensor networks (WSNs). In this paper, we mainly study optimal deployment velocity configuration of UAV swarms mounted with TDOA FDOA sensors. Explicit solutions are acquired both static movable source scenarios Fisher information matrix (FIM). Both centralized decentralized explored to meet different...
In localization estimation systems, it is well known that the sensor-emitter geometry can seriously impact accuracy of location estimate. this paper, time-difference-of-arrival (TDOA) applied to locate emitter using unmanned aerial vehicle (UAV) swarms equipped with TDOA-based sensors. Different from existing studies where variance measurement noises assumed be independent and changeless, we consider a more realistic model distance-dependent. First, measurements based on signal-to-noise...
Abstract:
In this paper, passive source localization of time-difference-of-arrival (TDOA) is investigated using a swarm UAVs. First, the measurement model with parameter dependent variance introduced. The Cramer-Rao low bound(CRLB) calculated incoming measurements. Then method for optimizing UAVs trajectories based on CRLB proposed. Dryden applied and performance disturbance-TDOA analyzed in terms root mean square error (RMSE). Simulations confirm online optimization enables high accuracy show robust...
Finding a small subset of data whose linear combination spans other points, also called column selection problem (CSSP), is an important open in computer science with many applications vision and deep learning. There are some studies that solve CSSP polynomial time complexity w.r.t. the size original dataset. A simple efficient algorithm order, referred to as spectrum pursuit (SP), proposed pursuits spectral components dataset using available sample points. The non-greedy aims iteratively...
For the emerging autonomous swarm technology, from perspective of systems science and engineering, there must be some novel elements methods to aggregate multiple into a group, which distinguish with general components specific functions, we expect provide presentation their existence in development processes. The inspiration our methodology origins integration ontology, multi-paradigm modeling, multi-agent system, cyber-physical etc. Therefore, choose model-driven technology as framework...
There are many problems in present anti-stealth detection technologies, such as small range and excessive blind zone. Besides, the stealth target is difficult to be detected tracked with current technology. To solve these problems, this paper presents a novel method that based on thought of swarm makes use more flexible airborne platform generate change formation configuration. First, cooperative airspace coverage model aircraft established, an improved solution proposed. Second, four...
Elevator group control scheduling problem is considered using the approach of multi-agent coordination. Unlike traditional elevator approaches that were implemented by a central agent, this proposed in paper was many agents, and every agent able to calculate, reason decide. Based on this, structure single system are designed, coordination mechanism then defined. Finally, computer, algorithm simulated compared with other algorithms. The results show can reduce effectively average waiting time...
This paper develops the model of joint phantom track deception and techniques time-difference arrival (TDOA) frequency-difference (FDOA) localization to deceive air defense radar networks under condition that an unmanned aerial vehicle (UAV) swarm has no prior knowledge radars’ precise locations, related performance experiment analysis are presented demonstrate effectiveness proposed method clarify influence factors deception. The main contributions this as follows. Firstly, against a...
The relative sensor–emitter geometry has a great impact on the localisation accuracy. In this study, optimal deployments of hybrid time‐difference‐of‐arrival (TDOA) and angle‐of‐arrival (AOA) are studied. explicit expression determinant Fisher information matrix is acquired chosen as criterion to determine sensor with assumption Gaussian measurement noise. analytic solutions geometries derived in both general co‐located scenarios. Finally, theoretical developments corroborated by simulation...
Radar deployment is of great importance for airborne radar network performance. An efficient required a good detection performance and energy consumption. This paper focuses on the directional stealth target using UAV swarms equipped with active passive radars. Based calculated bistatic cross section (RCS) targets Cassini oval sensing region, optimum geometrical structures are analyzed radars (BRs) multiple mobile adaptive forward receivers to extend dynamic range coverage. Multi-objective...
While gliomas have become the most common cancerous brain tumors, manual diagnoses from 3D MRIs are time-consuming and possibly inconsistent when conducted by different radiotherapists, which leads to pressing demand for automatic segmentation of tumors. State-of-the-art approaches employ FCNs automatically segment MRI scans. In particular, U-Net has achieved notable performance motivated a series subsequent works. However, their significant size heavy computation impeded actual deployment....
Group chat socialization is increasingly central to online activities, yet design strategies enhance this experience remain underexplored. This study builds on the Stimuli–Organism–Response (SOR) framework examine how usability, rhythm, and user behavior influence emotions participation in group chats. Using data from 546 users China, a relevant demographic given dominance of platforms like WeChat both social professional settings, we uncover insights that are particularly applicable highly...