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International Conference on Computer and Communications (ICCC)

作者： Xinglin Mou Hao Li Feng Yan Kai Ding Tao Wu Weiwei Xia Lianfeng Shen National Mobile Communications Research Laboratory Southeast University Nanjing China Science and Technology on Near-Surface Detection Laboratory Wuxi China Jiangsu ZhongLi Electronic Information Sci-Tech Co. Ltd Changshu China

ISBN: (纸本)9781665409513

In this paper, a priority based adaptive MAC protocol (PM-MAC) is proposed for UAV ad hoc networks. Firstly, in the protocol, the arriving packets are classified into different queues according to the priority of services. A Markov chain model is proposed to analyze the channel access probabilities of different queues. And it is ensured that packets with high priority can access the channel with high probability. Secondly, the size of contention window is adaptively adjusted based on backoff times and the current packet size. Finally, simulation results show that PM-MAC can guarantee the access requirements of high priority packets, and compared with the traditional backoff method, the backoff mechanism in PM-MAC achieves better performance in access success rate, channel utilization and backoff delay.

关键词： Adaptation models Analytical models Protocols Adaptive systems Simulation Markov processes Media Access Protocol

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Search for the FCNC charmonium decay J/ψ → D⁰μ⁺μ⁻ + c.c.

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Journal of High Energy Physics 2025年第4期2025卷 1-20页

作者： Ablikim, M. Achasov, M.N. Adlarson, P. Ai, X.C. Aliberti, R. Amoroso, A. An, Q. Bai, Y. Bakina, O. Ban, Y. Bao, H.-R. Batozskaya, V. Begzsuren, K. Berger, N. Berlowski, M. Bertani, M. Bettoni, D. Bianchi, F. Bianco, E. Bortone, A. Boyko, I. Briere, R.A. Brueggemann, A. Cai, H. Cai, M.H. Cai, X. Calcaterra, A. Cao, G.F. Cao, N. Cetin, S.A. Chai, X.Y. Chang, J.F. Che, G.R. Che, Y.Z. Chelkov, G. Chen, Chao Chen, C.H. Chen, G. Chen, H.S. Chen, H.Y. Chen, M.L. Chen, S.J. Chen, S.L. Chen, S.M. Chen, T. Chen, X.R. Chen, X.T. Chen, Y.B. Chen, Y.Q. Chen, Z.J. Chen, Z.K. Choi, S.K. Chu, X. Cibinetto, G. Cossio, F. Cui, J.J. Dai, H.L. Dai, J.P. Dbeyssi, A. de Boer, R.E. Dedovich, D. Deng, C.Q. Deng, Z.Y. Denig, A. Denysenko, I. Destefanis, M. De Mori, F. Ding, B. Ding, X.X. Ding, Y. Ding, Y.X. Dong, J. Dong, L.Y. Dong, M.Y. Dong, X. Du, M.C. Du, S.X. Duan, Y.Y. Duan, Z.H. Egorov, P. Fan, G.F. Fan, J.J. Fan, Y.H. Fang, J. Fang, S.S. Fang, W.X. Fang, Y.Q. Farinelli, R. Fava, L. Feldbauer, F. Felici, G. Feng, C.Q. Feng, J.H. Feng, Y.T. Fritsch, M. Fu, C.D. Fu, J.L. Fu, Y.W. Gao, H. Gao, X.B. Gao, Y.N. Gao, Y.Y. Gao, Yang Garbolino, S. Garzia, I. Ge, P.T. Ge, Z.W. Geng, C. Gersabeck, E.M. Gilman, A. Goetzen, K. Gong, J.D. Gong, L. Gong, W.X. Gradl, W. Gramigna, S. Greco, M. Gu, M.H. Gu, Y.T. Guan, C.Y. Guo, A.Q. Guo, L.B. Guo, M.J. Guo, R.P. Guo, Y.P. Guskov, A. Gutierrez, J. Han, K.L. Han, T.T. Hanisch, F. Hao, K.D. Hao, X.Q. Harris, F.A. He, K.K. He, K.L. Heinsius, F.H. Heinz, C.H. Heng, Y.K. Herold, C. Holtmann, T. Hong, P.C. Hou, G.Y. Hou, X.T. Hou, Y.R. Hou, Z.L. Hu, B.Y. Hu, H.M. Hu, J.F. Hu, Q.P. Hu, S.L. Hu, T. Hu, Y. Hu, Z.M. Huang, G.S. Huang, K.X. Huang, L.Q. Huang, P. Huang, X.T. Huang, Y.P. Huang, Y.S. Hussain, T. Hüsken, N. in der Wiesche, N. Jackson, J. Janchiv, S. Ji, Q. Ji, Q.P. Ji, W. Ji, X.B. Ji, X.L. Ji, Y.Y. Jia, Z.K. Jiang, D. Jiang, H.B. Jiang, P.C. Jiang, S.J. Jiang, T.J. Jiang, X.S. Jiang, Y. Jiao, J.B. Jiao, J.K. Jiao, Z. Jin, S. Jin, Y. Jing, M.Q. Jing, X.M. Johansson, T. Kabana, S. Kalantar-Nayestana Institute of High Energy Physics Beijing 100049 China Beihang University Beijing 100191 China Bochum Ruhr-University Bochum D-44780 Germany Budker Institute of Nuclear Physics SB RAS (BINP) Novosibirsk 630090 Russian Federation Carnegie Mellon University Pittsburgh 15213 PA United States Central China Normal University Wuhan 430079 China Central South University Changsha 410083 China China Center of Advanced Science and Technology Beijing 100190 China China University of Geosciences Wuhan 430074 China Chung-Ang University Seoul 06974 South Korea COMSATS University Islamabad Lahore Campus Defence Road Off Raiwind Road Lahore 54000 Pakistan Fudan University Shanghai 200433 China GSI Helmholtzcentre for Heavy Ion Research GmbH Darmstadt D-64291 Germany Guangxi Normal University Guilin 541004 China Guangxi University Nanning 530004 China Hangzhou Normal University Hangzhou 310036 China Hebei University Baoding 071002 China Helmholtz Institute Mainz Staudinger Weg 18 Mainz D-55099 Germany Henan Normal University Xinxiang 453007 China Henan University Kaifeng 475004 China Henan University of Science and Technology Luoyang 471003 China Henan University of Technology Zhengzhou 450001 China Huangshan College Huangshan 245000 China Hunan Normal University Changsha 410081 China Hunan University Changsha 410082 China Indian Institute of Technology Madras Chennai 600036 India Indiana University Bloomington 47405 IN United States INFN Laboratori Nazionali di Frascati Frascati I-00044 Italy INFN Sezione di Perugia Perugia I-06100 Italy University of Perugia Perugia I-06100 Italy INFN Sezione di Ferrara Ferrara I-44122 Italy University of Ferrara Ferrara I-44122 Italy Inner Mongolia University Hohhot 010021 China Institute of Modern Physics Lanzhou 730000 China Institute of Physics and Technology Peace Avenue 54B Ulaanbaatar 13330 Mongolia Instituto de Alta Investigación Universidad de Tarapacá Casilla 7D Arica 100

Based on a data sample of (10087 ± 44) × 106J/ψ events taken with the BESIII detector, we search for the flavor-changing neutral current charmonium decay J/ψ → D0μ+μ− + c.c. No significant signal above ... 详细信息

Based on a data sample of (10087 ± 44) × 10⁶J/ψ events taken with the BESIII detector, we search for the flavor-changing neutral current charmonium decay J/ψ → D⁰μ⁺μ⁻ + c.c. No significant signal above the background is observed, and the upper limit on its branching fraction is set to be ℬ(J/ψ → D⁰μ⁺μ⁻ + c.c.) < 1.1 × 10⁻⁷ at the 90% confidence level. This marks the first search for a flavor-changing neutral current charmonium decay involving muons in the final state. © The Author(s) 2025.

关键词： e+-e− Experiments Flavour Changing Neutral Currents Quarkonium Rare Decay

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Observation of ψ3686→K−Λ1520Ξ¯+ + c.c.

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Journal of High Energy Physics 2025年第3期2025卷 1-17页

作者： Ablikim, M. Achasov, M.N. Adlarson, P. Afedulidis, O. Ai, X.C. Aliberti, R. Amoroso, A. An, Q. Bai, Y. Bakina, O. Balossino, I. Ban, Y. Bao, H.-R. Batozskaya, V. Begzsuren, K. Berger, N. Berlowski, M. Bertani, M. Bettoni, D. Bianchi, F. Bianco, E. Bortone, A. Boyko, I. Briere, R.A. Brueggemann, A. Cai, H. Cai, X. Calcaterra, A. Cao, G.F. Cao, N. Cetin, S.A. Chai, X.Y. Chang, J.F. Che, G.R. Che, Y.Z. Chelkov, G. Chen, Chao Chen, C.H. Chen, G. Chen, H.S. Chen, H.Y. Chen, M.L. Chen, S.J. Chen, S.L. Chen, S.M. Chen, T. Chen, X.R. Chen, X.T. Chen, Y.B. Chen, Y.Q. Chen, Z.J. Choi, S.K. Cibinetto, G. Cossio, F. Cui, J.J. Dai, H.L. Dai, J.P. Dbeyssi, A. de Boer, R.E. Dedovich, D. Deng, C.Q. Deng, Z.Y. Denig, A. Denysenko, I. Destefanis, M. De Mori, F. Ding, B. Ding, X.X. Ding, Y. Dong, J. Dong, L.Y. Dong, M.Y. Dong, X. Du, M.C. Du, S.X. Duan, Y.Y. Duan, Z.H. Egorov, P. Fan, G.F. Fan, J.J. Fan, Y.H. Fang, J. Fang, S.S. Fang, W.X. Fang, Y.Q. Farinelli, R. Fava, L. Feldbauer, F. Felici, G. Feng, C.Q. Feng, J.H. Feng, Y.T. Fritsch, M. Fu, C.D. Fu, J.L. Fu, Y.W. Gao, H. Gao, X.B. Gao, Y.N. Gao, Yang Garbolino, S. Garzia, I. Ge, P.T. Ge, Z.W. Geng, C. Gersabeck, E.M. Gilman, A. Goetzen, K. Gong, L. Gong, W.X. Gradl, W. Gramigna, S. Greco, M. Gu, M.H. Gu, Y.T. Guan, C.Y. Guo, A.Q. Guo, L.B. Guo, M.J. Guo, R.P. Guo, Y.P. Guskov, A. Gutierrez, J. Han, K.L. Han, T.T. Hanisch, F. Hao, X.Q. Harris, F.A. He, K.K. He, K.L. Heinsius, F.H. Heinz, C.H. Heng, Y.K. Herold, C. Holtmann, T. Hong, P.C. Hou, G.Y. Hou, X.T. Hou, Y.R. Hou, Z.L. Hu, B.Y. Hu, H.M. Hu, J.F. Hu, Q.P. Hu, S.L. Hu, T. Hu, Y. Huang, G.S. Huang, K.X. Huang, L.Q. Huang, P. Huang, X.T. Huang, Y.P. Huang, Y.S. Hussain, T. Hölzken, F. Hüsken, N. in der Wiesche, N. Jackson, J. Janchiv, S. Ji, Q. Ji, Q.P. Ji, W. Ji, X.B. Ji, X.L. Ji, Y.Y. Jia, X.Q. Jia, Z.K. Jiang, D. Jiang, H.B. Jiang, P.C. Jiang, S.S. Jiang, T.J. Jiang, X.S. Jiang, Y. Jiao, J.B. Jiao, J.K. Jiao, Z. Jin, S. Jin, Y. Jing, M.Q. Jing, X.M. Johansson, T. Kabana, S. Kalantar-Nayestanaki, N. Kang, X.L. Kang, X.S. Institute of High Energy Physics Beijing 100049 China Beihang University Beijing 100191 China Bochum Ruhr-University Bochum D-44780 Germany Budker Institute of Nuclear Physics SB RAS (BINP) Novosibirsk 630090 Russian Federation Carnegie Mellon University Pittsburgh 15213 PA United States Central China Normal University Wuhan 430079 China Central South University Changsha 410083 China China Center of Advanced Science and Technology Beijing 100190 China China University of Geosciences Wuhan 430074 China Chung-Ang University Seoul 06974 South Korea COMSATS University Islamabad Lahore Campus Defence Road Off Raiwind Road Lahore 54000 Pakistan Fudan University Shanghai 200433 China GSI Helmholtzcentre for Heavy Ion Research GmbH Darmstadt D-64291 Germany Guangxi Normal University Guilin 541004 China Guangxi University Nanning 530004 China Hangzhou Normal University Hangzhou 310036 China Hebei University Baoding 071002 China Helmholtz Institute Mainz Staudinger Weg 18 Mainz D-55099 Germany Henan Normal University Xinxiang 453007 China Henan University Kaifeng 475004 China Henan University of Science and Technology Luoyang 471003 China Henan University of Technology Zhengzhou 450001 China Huangshan College Huangshan 245000 China Hunan Normal University Changsha 410081 China Hunan University Changsha 410082 China Indian Institute of Technology Madras Chennai 600036 India Indiana University Bloomington 47405 IN United States INFN Laboratori Nazionali di Frascati Frascati I-00044 Italy INFN Sezione di Perugia Perugia I-06100 Italy University of Perugia Perugia I-06100 Italy INFN Sezione di Ferrara Ferrara I-44122 Italy University of Ferrara Ferrara I-44122 Italy Inner Mongolia University Hohhot 010021 China Institute of Modern Physics Lanzhou 730000 China Institute of Physics and Technology Peace Avenue 54B Ulaanbaatar 13330 Mongolia Instituto de Alta Investigación Universidad de Tarapacá Casilla 7D Arica 100

Based on (2712.4 ± 14.3) × 106ψ(3686) events collected at the BESIII detector operating at the BEPCII collider, we present the first observation of the decay ψ3686→K−Λ1520Ξ¯+ + c.c. The product bra... 详细信息

Based on (2712.4 ± 14.3) × 10⁶ψ(3686) events collected at the BESIII detector operating at the BEPCII collider, we present the first observation of the decay ψ3686→K−Λ1520Ξ¯+ + c.c. The product branching fraction Bψ3686→K−Λ1520Ξ¯++c.c.×BΛ1520→pK− is measured to be (9.47 ± 0.75 ± 0.97) × 10⁻⁷, where the first uncertainty is statistical and the second systematic. © The Author(s) 2025.

关键词： Branching fraction e+-e− Experiments QCD Quarkonium

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Measurement of cross sections of e+e−→KS0KS0ψ3686 from s = 4.682 to 4.951 GeV

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Journal of High Energy Physics 2025年第2期2025卷 1-21页

The process e+e−→KS0KS0ψ3686 is studied by analyzing e+e− collision data samples collected at eight center-of-mass energies ranging from 4.682 to 4.951 GeV with the BESIII detector operating at the BEPCII collider, ... 详细信息

The process e+e−→KS0KS0ψ3686 is studied by analyzing e⁺e⁻ collision data samples collected at eight center-of-mass energies ranging from 4.682 to 4.951 GeV with the BESIII detector operating at the BEPCII collider, corresponding to an integrated luminosity of 4.1 fb⁻¹. Observation of the e+e−→KS0KS0ψ3686 process is found for the first time with a statistical significance of 6.3σ, and the cross sections at each center-of-mass energy are measured. The ratio of cross sections of e+e−→KS0KS0ψ3686 relative to e⁺e⁻→ K⁺K⁻ψ(3686) is determined to be σe+e−→KS0KS0ψ3686σe+e−→K+K−ψ3686=0.45±0.25, which is consistent with the prediction based on isospin symmetry. The uncertainty includes both statistical and systematic contributions. Additionally, the KS0ψ3686 invariant mass distribution is found to be consistent with three-body phase space. The significance of a contribution beyond three-body phase space is only 0.8σ. © The Author(s) 2025.

关键词： e+-e− Experiments Exotics

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Semi-supervised Medical Image Segmentation based on Coarse-Fine Dual Training Streams

Semi-supervised Medical Image Segmentation based on Coarse-F...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Lizhi Sun Yong Huang Zhengyu Qiao Boyu Yang Xiaochen Li Qun Hao School of Optics and Photonics Beijing Institute of Technology Beijing China Beijing Institute of Technology National Key Laboratory on Near Surface Detection Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing China

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

Commonly used semi-supervised medical segmentation networks usually use consistent learning under different data perturbations to regularise training, ignoring the multiscale information of the data itself. Therefore, this paper proposes a new network based on coarse and fine dual training streams(CF-UNet), which consists of a backbone network and auxiliary learning branches(ALB). Our approach has the following two novel designs: 1) We design a simple and effective coarse- fine dual training streams. Specifically, in the coarse training stream, we improve the robustness and generalisation of the model by establishing regularisation between different strong and weak perturbation views. In the fine training stream, we introduce an auxiliary learning branch to improve the prediction performance of the backbone network.2) In the ALB module, we design the channel spatial fusion attention module (CSMA) and multiscale large kernel convolutional attention (MS-LKA) to perform feature extraction and fusion from a variety of scales. We evaluate our proposed method on ACDC and DRIVE datasets and numerous experiments have shown that our CF-UNet outperforms state-of-the-art networks. Code is available at https://***/slz-bit/CF-UNet.

关键词： Training Image segmentation Perturbation methods Biological system modeling Streaming media Robustness Multiaccess communication Kernel Streams Biomedical imaging

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Thin Wide Range Varifocal Diffractive Alvarez Lens Actuated by Dielectric Elastomers

SSRN

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SSRN 2024年

作者： Cheng, Yang Hao, Qun Liu, Lin Cao, Jie Liu, Mengyao Ou, Yangqi Key Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing Institute of Technology Beijing100081 China Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing314003 China National Key Laboratory of Science and Technology on Near-Surface Detection Beijing100012 China

A thin wide range varifocal diffractive Alvarez lens actuated by dielectric elastomers (DEs) is designed and proposed. The diffractive Alvarez lens is manufactured by the laser direct writing technique with four etching depths. The diffractive Alvarez lens consists of two diffractive phase plates, which can move laterally by applying an actuation voltage to the DEs, and then the focal length of the diffractive Alvarez lens changes. The thickness and the optical aperture of the proposed diffractive Alvarez lens are 4 mm and 10 mm, respectively. The focal length ratio is up to 10×, where the maximum the minimum focal lengths are 300 mm and 30 mm, respectively. The rise time and fall time are 134 ms and 206 ms. The average diffraction efficiency is 82% at 532 nm. Such a thin wide range varifocal diffractive Alvarez lens promises a potential solution for many applications, such as endoscopes, consumer electronics, and microscopies. © 2024, The Authors. All rights reserved.

关键词： Lenses

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Anti-personnel Mine detection by Sparse Representation of GPR B-scan Radargram Image

Anti-personnel Mine Detection by Sparse Representation of GP...

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2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

作者： Sun, Tao Luo, Chaopeng Liu, Mengna Zhou, Liqing Tang, Xianxiu Meng, Riheng Tang, Xinjian Hao, Weifeng Science and Technology on Near-Surface Detection Laboratory Wuxi China Electronic Information School of Wuhan University Wuhan China Dept.of Architectural Engineering Hubei Water Resources Technical College Wuhan China State Key Lab. of Geomechanics and Geotechnical Engineering Institutude of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan China Antarctic Center of Sureying and Mapping of Wuhan Univeristy Wuhan China

ISBN: (纸本)9781728123455

Ground penetrating radar is an efficient close-range remote sensing and non-destructive-testing technique, which probes ultra-wide-band electromagnetic pulses to detect underground targets. Then theirs geometric features and material property characters will been figured out. A major clutter interference coupling with the response of the subsurface-buried-landmine is direct air wave and direct ground reflected waves, which hinder shallow buried landmine precise detection and discrimination. As for shallow buried targets, in this paper, a clutter and target response echo decoupling method with Linear-Gain-Compensation-Robust-PCA algorithm is proposed based on low-rank prior of clutters and target distribution spatial sparse prior. Compared with Principal Component Analysis, mean subtract algorithm, the performance of LGC-RPCA method is tested with simulations and indoor sand-box experiments. These demonstrate that the LGC-RPCA method with inexact augmented Lagrangian function is an efficient algorithm for shallow buried landmine detection and discrimination. Then, it will reduce the false alarm rate for identification of shallow buried anti-personnel Mine. © 2019 IEEE.

关键词： Ground penetrating radar systems

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A 3d Non-Stationary Geometry-Based Stochastic Model for Uav Air-to-Ground Mimo Channels

SSRN

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SSRN 2022年

作者： Zhou, Tianxiang Yan, Feng Li, Hao Pang, Jingming Ding, Kai Xia, Weiwei Shen, Lianfeng National Mobile Communications Research Laboratory Southeast University Nanjing210096 China Science and Technology on Near-Surface Detection Laboratory Wuxi214035 China Jiangsu ZhongLi Electronic Information Sci-Tech Co. Ltd Changshu215542 China

In this paper, a three-dimensional geometry-based stochastic model is proposed for unmanned aerial vehicle (UAV) non-stationary air-to-ground multi-input multi-output (MIMO) channels. In the proposed model, the scatterers around the UAV and ground station are assumed to be distributed on the surface of two cylinders respectively. In order to describe the channel non-stationarity, the impact of rotations and accelerated motion of UAV are taken into account. The computation method of the corresponding time-variant parameters are theoretically deduced, including UAV antenna array angles, time delays and maximum Doppler frequencies. Based on the model, the channel statistical properties such as space-time correlation functions are further derived. Simulation results show that the increasing accelerations of the UAV and ground station can reduce the time correlation function and increase the channel non-stationarity in time domain. The UAV rotation has an important influence on the spatial correlation function, and the influence of rolling is more significant than that of pitching. © 2022, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Design and implementation of real-time localization system (RTLS) based on UWB and TDoA algorithm

arXiv

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arXiv 2021年

作者： Zhang, Fengyun Yang, Li Liu, Yuhuan Ding, Yulong Yang, Shuang-Hua Li, Hao Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Army Engineering University of PLA Nanjing China Academy for Advanced Interdisciplinary Studies Southern University of Science and Technology Shenzhen China PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China Science and Technology on Near-surface Detection Laboratory Wuxi China

Nowadays, accurate localization plays an essential role in many fields, like target tracking and path planning. The challenges of indoor localization include inadequate localization accuracy, unreasonable anchor deployment in complex scenarios, lack of stability, and the high cost. So the universal positioning technologies cannot meet the real application requirements scarcely. To overcome these shortcomings, a comprehensive Ultra Wide-Band (UWB) based RTLS is presented in this paper. We first introduce the architecture of real-time localization system, then propose a new wireless clock synchronization (WCS) scheme, finally discuss the time difference of arrival (TDoA) algorithm. We define the time-base selection strategy for TDoA algorithm, and analyze the relationship between anchor deployment and positioning accuracy. The Extended Kalman Filter (EKF) method is presented for non-linear dynamic localization estimation, and it performs well in terms of stability and accuracy in moving target. Copyright © 2021, The Authors. All rights reserved.

关键词： Extended Kalman filters

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Design and Implementation of Real-Time Localization System (Rtls) Based on Uwb and Tdoa Algorithm

SSRN

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SSRN 2022年

作者： Zhang, Fengyun Yang, Li Liu, Yuhuan Ding, Yulong Yang, Shuang-Hua Li, Hao Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Army Engineering University PLA Nanjing China Academy for Advanced Interdisciplinary Studies Southern University of Science and Technology Shenzhen China PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China Science and Technology on Near-surface Detection Laboratory Wuxi China

Nowadays, accurate localization plays an essential role in many fields, like target tracking and path planning. The challenges of indoor localization include inadequate localization accuracy, unreasonable anchor deployment in complex scenarios, lack of stability, and the high cost. So the universal positioning technologies cannot meet the real application requirements scarcely. To overcome these shortcomings, a comprehensive Ultra Wide-Band (UWB) based RTLS is presented in this paper. We introduce the architecture of real-time localization system, then propose a new wireless clock synchronization (WCS) scheme, finally discuss the time difference of arrival (TDoA) algorithm. We define the time-base selection strategy for the TDoA algorithm, and analyze the relationship between anchor deployment and positioning accuracy. The Extended Kalman Filter (EKF) method is presented for non-linear dynamic localization estimation, and it performs well in terms of stability and accuracy in moving target. © 2022, The Authors. All rights reserved.

关键词： Extended Kalman filters

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