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An E-type Temperature Sensor for Upper Air Meteorology

Nanotechnology and Precision Engineering 2018年第2期1卷 145-149页

作者： Shangbang Han Qingquan Liu Xu Han Wei Dai Jie Yang School of Electronic and Information Engineering Nanjing University of Information Science and TechnologyNanjing 210044China Jiangsu Key Laboratory of Meteorological Observation and Signal Processing Nanjing 210044China Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing 210044China Key Laboratory of MEMS of Ministry of Education Southeast UniversityNanjing 210096China

An E-type high-precision temperature sensor, which is adopted for upper air meteorology, was proposed in this paper. A computational fluid dynamics(CFD) method was implemented to analyze temperature rise induced by solar radiation at different altitudes and solar radiation intensities. A temperature rise correction equation was obtained by fitting the CFD results using a Broyden-Fletcher-Goldfarb-Shanno(BFGS) method. To verify the performance of the temperature sensor, an experimental platform was constructed. Through simulations and experiments, the relationship among the altitude, solar radiation intensity and radiation temperature rise was obtaned. The root-mean-square error(RMSE) between the temperature rise derived from the correction equation and that derived from the experiments is 0.013 K. The sample determination coefficient r2 of the solar radiation error correction equation is 0.9975.

关键词： High-precision temperature sensor Computational fluid dynamics Radiation temperature

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A novel Doppler centroid estimation method for multi-channel HRWS SAR

A novel Doppler centroid estimation method for multi-channel...

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2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017

作者： Liu, Yanyang Lu, Ruifeng Zhao, Di Chen, Hongfei Fang, Chao Chen, Junli Shanghai Institute of Satellite Engineering Shanghai210020 China National Key Laboratory of Radar Signal Processing Xidian University Xi'an710071 China Shanghai Academy of Space Technology Shanghai210020 China

ISBN: (纸本)9780996007856

In multi-channel high-resolution and wide-swath SAR signal processing, Doppler centroid (DC) is essential for channel phase bias estimation and SAR focusing. By exploiting that an inaccurate Doppler centroid would introduce linear errors in phase bias estimation and consequently deteriorate the reconstructed Doppler spectrum, the Doppler centroid can be accurately estimated by Doppler spectrum optimisation. Experimental results based on airborne real data confirm the effectiveness of the proposed algorithm. © 2017 Applied Computational Electromagnetics Society.

关键词： Synthetic aperture radar

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Robust time delay estimation based intelligent PID control of a 6DOF upper-limb exoskeleton robot 9

Robust time delay estimation based intelligent PID control o...

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9th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2017

作者： Fei, Fei Wang, Haoping Tian, Yang Sino-French International Joint Laboratory of Automatic Control and Signal Processing School of Automation Nanjing University of Science and Technology Nanjing210094 China

ISBN: (纸本)9781538630228

This paper will focus on a 6DOF upper-limb powered exoskeleton of healthy people or disabled people as the research object. After analyzing the human body physiological structure, this paper puts forward its own upper-limb powered exoskeleton model and designes a complete mechanical structure using SolidWorks. Then, it carries out a thorough analysis on the selected upper-limb powered exoskeleton model, using D-H matrix to establish the corresponding kinematics model;After that, this paper proposes robust time delay estimation based intelligent PID controllers (TDE-iPIDs) to control this exoskeleton model, which has simple structures, easy to adjust control parameters and strong ability to resist uncertainty. Then, this paper establishes a virtual prototype and imported it into MATLAB/SimMechanics to do simulation. Finally, the simulation results are given out. © 2017 IEEE.

关键词： MATLAB

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Comparative channel study of ray tracing and measurement for an indoor scenario at 28 GHz 12

Comparative channel study of ray tracing and measurement for...

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12th European Conference on Antennas and Propagation, EuCAP 2018

作者： Zhan, Jinnan Zhang, Jianhua Tian, Lei Zhang, Xinzhuang Tang, Pan Dou, Jianwu Wei, Hewen Key Lab of Universal Wireless Communications Ministry of Education New Zealand State Key Lab of Networking and Switching Technology Beijing University of Posts and Telecommunications Mailbox NO.92 Beijing100876 China Wireless Algorithm Department Product R and D system ZTE Corp. Ltd. Shanghai201210 China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu Sichuan610041 China

ISBN: (纸本)9781785617911

The millimeter wave communication is important for future wireless systems. In this paper, the channel characteristics at 28 GHz in an indoor scenario are researched based on ray tracing (RT) simulation and measurement. In the RT simulation, various configurations, such as different number of reflections, diffractions and penetrations are used. As for the measurement, two setups are implemented in order to analyze more parameters. Setup one is that biconical antennas are used at both the transmitter (TX) and receiver (RX). The other setup is that horn antenna at RX is rotated 360◦ in azimuth with a step of 5◦ when an omni-directional antenna located at TX. Meanwhile, antenna is rotated one circle with an elevation angle of 10◦, 0◦ and -10◦, respectively. Path loss and K-factor are analyzed firstly, and analysis results indicate the RT result with 1 or 2 reflections, 1 diffractions and 5 penetrations in this conference room is closest to the measurement result and channel models in 3GPP TR 38.901. Then, the root mean square (RMS) delay spread and RMS angular spread are investigated, which shows the value of measurement is a bit larger than RT because of the limitation of azimuth and elevation step. According to all the results, 1-2 reflections, 1 diffraction and 5 penetrations can be used in RT for future analysis of indoor scenario at 28 GHz. © Institution of Engineering and *** Rights Reserved.

关键词： Ray tracing

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A Fast Distributed Direct Postion Determination Algorithm Based on Delay and Doppler

A Fast Distributed Direct Postion Determination Algorithm Ba...

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2017 2nd International Conference on Control, Automation and Artificial Intelligence(CAAI2017)

作者： Zhuo Qiu Science and Technology On Blind Signal Processing Laboratory

In the moving sensor network, the direct positioning method(DPD) can greatly improve the positioning performance of the system, but it also brings the problem of high computational complexity and poor stability of the algorithm. In this paper, a distributed fast DPD algorithm based on timefrequency difference is proposed. The complex large-scale matrix operation and the maximal eigenvalue solution in the original DPD algorithm are replaced by the cross ambiguity function(CAF) and the matrix norm respectively. An effective distributed computing method is designed to make full use of the sensor network Of the computation resources. The simulation results show that the proposed method can greatly simplify the computational complexity, improve the stability of the algorithm, while the location performance is equivalent to the original DPD algorithm.

关键词： DPD matrix norm time-frequency difference cross Ambiguity Function(CAF)

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A Separation and Decoding algorithm for QPSK signals with Low Complexity

A Separation and Decoding algorithm for QPSK Signals with Lo...

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2017 International Conference on Electronic Information technology and Computer Engineering (EITCE 2017)

作者： Baijun Pan Shilong Tu Science and Technology on Blind Signal Processing Laboratory

In this paper, we consider separation and decoding for two QPSK signals, which have the same symbol rates. However, the complexity of the present method is too high. To solve this question, an algorithm based on lattice reduction and joint iteration is proposed to enhance the separation performance. The complexity is greatly reduced while retains considerable performance. Simulation results are provided to illustrate the performance of the proposed algorithm.

关键词： A Separation and Decoding algorithm for QPSK signals with Low Complexity

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Radio Frequency Fingerprint Extraction of Radio Emitter Based on I/Q Imbalance

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Procedia Computer science 2017年 107卷 472-477页

作者： Fei zhuo Yuanling Huang Jian chen National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

Specific emitter identification use external signal feature called radio frequency fingerprint to identify the different radio transmitter, which does not rely on information content. A radio frequency fingerprint feature extraction approach based on I/Q imbalance of quadrature modulation signal is proposed. A I/Q modulator model is utilized to investigate the sources of radio frequency fingerprint and the effect on signal. A fingerprint features extraction based on signal space is proposed, but the SNR (signal to Noise Ratio) need to be estimated before. Simulation results demonstrate that the method have superior performance than previous bispectrum-based, Hibert-Huang transform-based approaches.

关键词： specific emitter identification I/Q imbalance signal space autocorrelation matrix

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An Early Stage Researcher's Primer on Systems Medicine Terminology

Network and Systems Medicine

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Network and Systems Medicine 2021年第1期4卷 2-50页

作者： Zanin, Massimiliano Aitya, Nadim A.A. Basilio, José Baumbach, Jan Benis, Arriel Behera, Chandan K. Bucholc, Magda Castiglione, Filippo Chouvarda, Ioanna Comte, Blandine Dao, Tien-Tuan Ding, Xuemei Pujos-Guillot, Estelle Filipovic, Nenad Finn, David P. Glass, David H. Harel, Nissim Iesmantas, Tomas Ivanoska, Ilinka Joshi, Alok Boudjeltia, Karim Zouaoui Kaoui, Badr Kaur, Daman Maguire, Liam P. McClean, Paula L. McCombe, Niamh De Miranda, João Luís Moisescu, Mihnea Alexandru Pappalardo, Francesco Polster, Annikka Prasad, Girijesh Rozman, Damjana Sacala, Ioan Sanchez-Bornot, Jose M. Schmid, Johannes A. Sharp, Trevor Solé-Casals, Jordi Spiwok, Vojtěch Spyrou, George M. Stalidzans, Egils Stres, Blaa Sustersic, Tijana Symeonidis, Ioannis Tieri, Paolo Todd, Stephen Van Steen, Kristel Veneva, Milena Wang, Da-Hui Wang, Haiying Wang, Hui Watterson, Steven Wong-Lin, Kongfatt Yang, Su Zou, Xin Schmidt, Harald H.H.W. Centro de Tecnología Biomédica Universidad Politécnica de Madrid Madrid Spain Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Ulster United Kingdom Center for Physiology and Pharmacology Institute of Vascular Biology and Thrombosis Research Medical University of Vienna Vienna Austria TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany Holon Israel CNR National Research Council IAC Institute for Applied Computing Rome Italy Lab of Computing Medical Informatics and Biomedical Imaging Technologies School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Université Clermont Auvergne INRAE UNH Plateforme d'Exploration du Métabolisme MetaboHUB Clermont Clermont-Ferrand France Université de Technologie de Compiègne Compiègne France Labex MS2T Control of Technological Systems-of-Systems CNRS and Université de Technologie de Compiègne Compiègne France Faculty of Engineering University of Kragujevac Kragujevac Serbia Kragujevac Serbia Steinbeis Advanced Risk Technologies Institute Doo Kragujevac Kragujevac Serbia Pharmacology and Therapeutics School of Medicine Galway Neuroscience Centre National University of Ireland Galway Ireland School of Computing Ulster University Ulster United Kingdom Holon Israel Department of Mathematics and Natural Sciences Kaunas University of Technology Kaunas Lithuania Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Skopje Macedonia Medicine Faculty Université Libre de Bruxelles CHU de Charleroi Charleroi Belgium Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Ulster University Ulster United Kingdom Escola Superior de Tecnologia e Gestão Instituto Politécnico de Portalegre Portalegre Portugal Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Faculty of Automatic Control and Computers University Politehnica of B

Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to Systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the Systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic. © Massimiliano Zanin et al., 2021;Published by Mary Ann Liebert, Inc. 2021.

关键词： Semantics

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Mitigation of Ultra Wide-Band Interference for SAR Using Nonnegative Matrix Factorization with Prior Constraints

Mitigation of Ultra Wide-Band Interference for SAR Using Non...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Mingliang Tao Jia Su Xinyu Zhang Zijing Zhang Research & Development Institute of Northwestern Polytechnical University in Shenzhen School of Electronics and Information Northwestern Poly technical University Xi'an China School of Information Science and Engineering Lanzhou University Lanzhou China National Laboratory of Radar Signal Processing Xidian University Xi'an China

The proliferation of radio technology increase the likelihood of interference to active remote sensing systems, especially for those high-resolution synthetic aperture radar (SAR) systems with large bandwidth. The presence of radio frequency interference (RFI) in SAR data would affect the image quality and subsequent image interpretation results. Nowadays, radio services have an increasing demand for greater bandwidth, and the contamination bandwidth by RFI are becoming wider. This paper discusses the extreme case that SAR echoes are contaminated by ultra wide-band RFI, i.e., the bandwidth of RFI is relatively larger than the transmitted signal, traditional methods would fail due to large signal loss. In this paper, we proposed a mitigation method using nonnegative matrix factorization with prior constraints like independence and sparsity. The experimental results indicate the effectiveness of the proposed method.

关键词： Synthetic aperture radar Bandwidth Remote sensing Radiofrequency interference Azimuth Matrix decomposition

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X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data

arXiv

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arXiv 2020年

作者： Hong, Danfeng Yokoya, Naoto Xia, Gui-Song Chanussot, Jocelyn Zhu, Xiao Xiang Remote Sensing Technology Institute German Aerospace Center Wessling82234 Germany Signal Processing in Earth Observation Technical University of Munich Munich80333 Germany Graduate School of Frontier Sciences University of Tokyo Chiba277-8561 Japan Geoinformatics Unit RIKEN Center for Advanced Intelligence Project RIKEN Tokyo103-0027 Japan School of Computer Science Wuhan University Wuhan430072 China Institute of Artificial Intelligence Wuhan University Wuhan430072 China State Key Laboratory for Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan430079 China Univ. Grenoble Alpes INRIA CNRS Grenoble INP LJK Grenoble38000 France Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China

This paper addresses the problem of semi-supervised transfer learning with limited cross-modality data in remote sensing. A large amount of multi-modal earth observation images, such as multispectral imagery (MSI) or synthetic aperture radar (SAR) data, are openly available on a global scale, enabling parsing global urban scenes through remote sensing imagery. However, their ability in identifying materials (pixel-wise classification) remains limited, due to the noisy collection environment and poor discriminative information as well as limited number of well-annotated training images. To this end, we propose a novel cross-modal deep-learning framework, called X-ModalNet, with three well-designed modules: self-adversarial module, interactive learning module, and label propagation module, by learning to transfer more discriminative information from a small-scale hyperspectral image (HSI) into the classification task using a large-scale MSI or SAR data. Significantly, X-ModalNet generalizes well, owing to propagating labels on an updatable graph constructed by high-level features on the top of the network, yielding semi-supervised cross-modality learning. We evaluate X-ModalNet on two multi-modal remote sensing datasets (HSI-MSI and HSI-SAR) and achieve a significant improvement in comparison with several state-of-the-art methods. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep neural networks

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