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Three-Dimensional Cooperative Localization via Space-Air-Ground Integrated Networks

China Communications 2022年第1期19卷 253-263页

作者： Wenxuan Li Yuanpeng Liu Xiaoxiang Li Yuan Shen Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China

The space-air-ground integrated network(SAGIN)combines the superiority of the satellite,aerial,and ground communications,which is envisioned to provide high-precision positioning ability as well as seamless connectivity in the 5G and Beyond 5G(B5G)*** this paper,we propose a three-dimensional SAGIN localization scheme for ground agents utilizing multi-source information from satellites,base stations and unmanned aerial vehicles(UAVs).Based on the designed scheme,we derive the positioning performance bound and establish a distributed maximum likelihood algorithm to jointly estimate the positions and clock offsets of ground *** results demonstrate the validity of the SAGIN localization scheme and reveal the effects of the number of satellites,the number of base stations,the number of UAVs and clock noise on positioning performance.

关键词： space-air-ground integrated network(SAGIN) three-dimensional(3D)localization clock noise multi-source information

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Scale variant vehicle object recognition by CNN module of multipooling- PCA process

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Journal of Intelligent and Connected Vehicles 2023年第4期6卷 227-236页

作者： Yuxiang Guo Itsuo Kumazawa Chuyo Kaku Department of Information and Communications Engineering Tokyo Institute of TechnologyTokyo 152-8550Japan Research and Development Center Jiangsu Chaoli Electric Manufacture Co.Ltd.Shanghai 212321China

The moving vehicles present different scales in the image due to the perspective effect of different viewpoint *** premise of advanced driver assistance system(ADAS)system for safety surveillance and safe driving is early identification of vehicle targets in front of the ego *** recognition of the same vehicle at different scales requires feature learning with scale *** existing feature vector methods,the normalized PCA eigenvalues calculated from feature maps are used to extract scale-invariant *** study proposed a convolutional neural network(CNN)structure embedded with the module of multi-pooling-PCA for scale variant object *** validation of the proposed network structure is verified by scale variant vehicle image *** with scale invariant network algorithms of Scale-invariant feature transform(SIFT)and FSAF as well as miscellaneous networks,the proposed network can achieve the best recognition accuracy tested by the vehicle scale variant *** testify the practicality of this modified network,the testing of public dataset ImageNet is done and the comparable results proved its effectiveness in general purpose of applications.

关键词： object detection scale invariance spatial pyramid pooling multi-pooling convolutional neural network(CNN)

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Joint Resource Allocation Strategy for Multiple Target Tracking in Networked Collocated MIMO Radar System

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IEEE Transactions on Vehicular technology 2025年第5期74卷 7201-7211页

作者： Huang, Jieyu Xie, Junwei Yang, Ziqing Zhang, Haowei Li, Zhengjie Feng, Weike Air Force Engineering University Air and Missile Defense College Xi'an710051 China National University of Defense Technology College of Electronic Engineering Hefei230037 China China Aerodynamics Research and Development Center High Speed Aerodynamic Institute Mianyang621000 China

Networked collocated multiple-input multipleoutput (C-MIMO) radar system shows the good performance in the multi-target tracking (MTT), and the resource allocation strategy can further improve target tracking performance. A joint polarization mode, beam and power allocation strategy (JPBPS) with the radar cross-section (RCS) prediction is proposed to improve the MTT accuracy. The RCS predicted model on polarization mode and observation angle is used to obtain the predicted RCS information. Moreover, to evaluate the global tracking performance, the posterior Cramér-Rao lower bound (PCRLB) based on the covariance intersection (CI) fusion rule is derived, and the optimization model is established. As the optimization model is non-convex, we propose a three-step algorithm to transform the problem into a convex problem by separating the variables step by step. Simulation results show that the proposed JPBPS can effectively improve the global MTT accuracy compared with other strategies. © 1967-2012 IEEE.

关键词： Radar cross section

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Simulation method for large span heavy sea clutter in pulsed Doppler radar 4

Simulation method for large span heavy sea clutter in pulsed...

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4th International Conference on Computer Science and Communication technology, ICCSCT 2023

作者： Chen, Siyuan Hao, He Li, Ruirui Luo, Peike Yao, Shujian Shuai, Hanshu Zhang, Xinyin Advanced Communication and Flexible Information Processing Technology Research and Development Center Beijing Institute of Control Engineering Beijing100038 China

ISBN: (纸本)9781510671232

The clutter generated by multiple transmitting pulses overlaps in the time domain, which results in the two-dimensional aliasing of the range domain and Doppler spectrum of the clutter for the medium and high repetition frequency radar. In the simulation of different battlefield environments, a large number of range-Doppler grid units will be generated. It is necessary to establish a simulation model of aircraft based on GPU-CPU architecture to solve the track, attitude and radar parameters in real time to generate grid units, and then add antenna and sea situation information to calculate the cross-heavy sea clutter. This is of great significance for rapidly generating large span heavy sea clutter and improving the speed and reliability of sea clutter simulation. © 2023 SPIE.

关键词： Clutter (information theory)

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In-plane spin excitation of skyrmion bags

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Chinese Physics B 2023年第11期32卷 585-590页

作者：李爽李可欣刘照华朱起源赵晨博张虎石兴强王江龙王瑞宁连如乾巩朋来金晨东 Key Laboratory of Optic-Electronic Information and Materials of Hebei Province Research Center for Computational PhysicsCollege of Physics Science and TechnologyHebei UniversityBaoding 071002China College of Mathematics and Physics Chongqing University of Science and TechnologyChongqing 401331China Department of Materials Science and Engineering Lanzhou University of TechnologyLanzhou 730050China

Skyrmion bags are spin structures with arbitrary topological charges, each of which is composed of a big skyrmion and several small skyrmions. In this work, by using an in-plane alternating current(AC) magnetic field, we investigate the spinwave modes of skyrmion bags, which behave differently from the clockwise(CW) rotation mode and the counterclockwise(CCW) rotation mode of skyrmions because of their complex spin topological structures. The in-plane excitation power spectral density shows that each skyrmion bag possesses four resonance frequencies. By further studying the spin dynamics of a skyrmion bag at each resonance frequency, the four spin-wave modes, i.e., a CCW-CW mode, two CW-breathing modes with different resonance strengths, and an inner CCW mode, appear as a composition mode of outer skyrmion–inner skyrmions. Our results are helpful in understanding the in-plane spin excitation of skyrmion bags, which may contribute to the characterization and detection of skyrmion bags, as well as the applications in logic devices.

关键词： skyrmion bags spin-wave mode power spectral density micromagnetic simulation

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A Tibetan Speaker Verification Method Based on the Improved ECAPA-TDNN Model 7

A Tibetan Speaker Verification Method Based on the Improved ...

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7th International Conference on Computer information Science and Application technology, CISAT 2024

作者： Gan, Zhenye Gong, Yitong Northwest Normal University College of Physics and Electronic Engineering Lanzhou China Engineering Research Center of Gansu Province for Intelligent Information Technology and Application Lanzhou China

ISBN: (纸本)9798350375107

The ECAPA-TDNN method is widely used for speaker recognition;however, it has not yet been applied to the Tibetan language domain. Previous work on Tibetan recognition has primarily utilized traditional models. This paper employs ECAPA-TDNN as the foundational framework for speaker recognition and proposes improvements, including the addition of SE-Res2 blocks and the incorporation of an intra-class correlation regularizer in the GE2E loss function. The addition of SE-Res2 blocks enables the network to integrate features across multiple scales, enhancing its ability to represent features at different scales. Introducing the intra-class correlation regularizer in the GE2E loss aims to consider both speaker similarity and feature compactness, thereby improving speaker verification performance. In experiments based on the ECAPATDNN model baseline, the improved model reduced the Equal Error Rate (EER) of speaker recognition by 45.38%. © 2024 IEEE.

关键词： Speech recognition

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An Improved Multi-Speaker Tibetan Speaker Diarization Based on EDA-EEND 7

An Improved Multi-Speaker Tibetan Speaker Diarization Based ...

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7th International Conference on Computer information Science and Application technology, CISAT 2024

作者： Gan, Zhenye Ma, Feiyue Northwest Normal University College of Physics and Electronic Engineering Lanzhou China Engineering Research Center of Gansu Province for Intelligent Information Technology and Application Lanzhou China

ISBN: (纸本)9798350375107

Speaker diarization research is the process of segmenting the audio of different speakers and clustering the audio of the same speaker in an audio or video task, which is commonly referred to as accomplishing the task of 'who is talking when', the current researches on speaker diarization mainly consist of multi-module systems relying on traditional clustering and end-to-end clustering. Due to the limitations of model structure and linear transformation, the above two methods can only be limited to deal with a fixed number of speakers, this paper combines attractor computing based on LSTM coding and decoding and EDA-EEND based on the self-attention mechanism of SA-EEND, in order to avoid the problem of mismatch between the simulation of the end-to-end speaker diarization and the real dataset, it also introduces of the PIT loss function creates a unique Tibetan language dataset. Tibetan dataset, the experimental results show that speaker diarization can not only be applied in small languages but also flexibly expand the number of two speakers to multiple speakers, and the effect of 45.3% in multiple speakers can be comparable to that of two speakers. © 2024 IEEE.

关键词： Decoding

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Spatial and temporal variation of water clarity in typical reservoirs in the Beijing-Tianjin-Hebei region observed by GF 1-WFV satellite data

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Journal of Oceanology and Limnology 2024年第4期42卷 1048-1060页

作者： Chang CAO Junsheng LI Xiaodong JIA Shenglei WANG Bo WAN Liaoning Earthquake Agency Shenyang 11000China Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100094China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China School of Electronic Electrical and Communication EngineeringUniversity of Chinese Academy of SciencesBeijing 100049China

Rapidly monitoring regional water quality and the changing trend is of great practical and scientific significance,especially for the Beijing-Tianjin-Hebei(BTH)region of China where water resources are relatively scarce and inland water bodies are generally *** remote sensing data of the GF 1 satellite launched in 2013 have characteristics of high spatial and temporal resolution,which can be used for the dynamic monitoring of the water environment in small lakes and ***,the water quality remote sensing monitoring model based on the GF 1 satellite data for lakes and reservoirs in BTH is still lacking because of the considerable differences in the optical characteristics of the lakes and *** this paper,the typical reservoirs in BTH-Guanting Reservoir,Yuqiao Reservoir,Panjiakou Reservoir,and Daheiting Reservoir are taken as the study *** the atmospheric correction of GF 1-WFV,the relative radiation normalized atmospheric correction was adopted after comparing it with other methods,such as 6 S and *** the water clarity retrieval,a water color hue angle based model was proposed and outperformed other available published models,with the R 2 of 0.74 and MRE of 31.7%.The clarity products of the four typical reservoirs in the BTH region in 2013-2019 were produced using the GF 1-WFV *** on the products,temporal and spatial changes in clarity were analyzed,and the main influencing factors for each water body were *** was found that the clarity of Guanting,Daheiting,and Panjiakou reservoirs showed an upward trend during this period,while that of Yuqiao Reservoir showed a downward *** the influencing factors,the water level of the water bodies can be an important factor related to the water clarity changes in this region.

关键词： GF 1 satellite atmospheric correction clarity Beijing-Tianjin-Hebei spatial and temporal change analysis

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Fault Simulation Method of UAV Flight Control Sensor Based on Hardware-in-the-loop Simulation 3

Fault Simulation Method of UAV Flight Control Sensor Based o...

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3rd International Symposium on Sensor technology and Control, ISSTC 2024

作者： Wu, Helong Sun, Lijun Cai, Mingxi Yang, Jianfeng He, Jifu China Electronic Product Reliability and Environment Testing Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Electronic Information Products Reliability Technology Guangzhou China Guangdong Provincial Engineering Technology Research Center of UAV Reliability and Safety Guangzhou510610 China

ISBN: (纸本)9798331541637

Hardware-in-the-loop simulation technology plays an important role in the flight performance and safety test of UAV flight control system. The hardware-in-the-loop simulation method can excavate the potential faults of the flight control system, optimize and adjust the flight control algorithm in time, and lay a foundation for ensuring the safety of outfield flight. In this paper, a hardware-in-the-loop simulation based fault injection method for UAV flight control sensor was proposed. Mathematical models and fault mechanism models of flight control sensors such as gyroscope, accelerometer and magnetometer were constructed. The UAV body model and sensor fault simulation model were established in Simulink environment to form a hardware-in-the-loop simulation system. The sensor fault injection test based on flight control hardware in the loop simulation was carried out. The test results showed that the built flight control hardware in the loop simulation system could effectively simulate the flight control sensor fault and test the flight performance of the flight control sensor under the condition of failure. © 2024 IEEE.

关键词： Hardware-in-the-loop simulation

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Performance Analysis of a Solar Panel Cleaning Autonomous Robot (SPCR) with comparative study 26

Performance Analysis of a Solar Panel Cleaning Autonomous Ro...

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26th International Conference on Computer and information technology, ICCIT 2023

作者： Barua, Sourav Oishi, Ashrafun Nushra Shadman Shafkat Tanjim, Meer Mansur, Ahmed Al Ahmed, Istiac Shihavuddin, A.S.M. Department of Electrical & Electronic Engineering Dhaka Bangladesh Center of Extensive Research and Technology Department of Research & Development Dhaka Bangladesh Green University of Bangladesh Department of Electrical & Electronic Engineering Dhaka Bangladesh

ISBN: (纸本)9798350359015

Photovoltaic systems are the largest source of renewable energy. Infinite amount of renewable energy generation is possible if the solar panels perform in its highest efficiency. To ensure environment friendly energy production in an ample scale, the solar panels must be operated with minimum loss. One of the major hindrances to produce solar energy is different types of dust. Cleaning the dusts on the solar panel necessitates innovative techniques as manual cleaning operation is non uniform, time consuming, causes minor injuries to people, displacement of panels, movement difficulties and expensive. The paper proposes an autonomous robot for cleaning the dusts and debris on the solar panel to increase the efficiency of the system. The proposed solar panel cleaning robot (SPCR) utilizes sensors, motors, motor drivers, cameras to strengthen the cleaning operation based on dust types. The cleaning mechanism consists of water tank and duct fan as well. Finally, the performance analysis of the robot for different case studies is evaluated and compared with the existing research outcomes. © 2023 IEEE.

关键词： BLDC motor dust efficiency etc Photovoltaic system (PV) Solar panel cleaning robot (SPCR)

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