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作者： Wang, Xiangyu Wang, Robert Deng, Yunkai Wang, Wei Li, Ning Department of Space Microwave Remote Sensing System Institute of Electronics Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100039 China School of Computer and Information Engineering Henan University Kaifeng475004 China

The next generation of spaceborne synthetic aperture radar (SAR) remote sensing systems will emphasize on high-resolution and wide-coverage imaging. For these design goals, variable pulse repetition interval (PRI), which is also called staggered SAR, is a promising candidate to deal with the inherent problem of blind range effect in conventional SAR with constant PRI. This letter presents an improved work of signal processing to cope with two unavoidable problems in staggered mode: The loss of echo signal and nonuniform sampling in azimuth. Since the existing signal processing methods are mostly based on a high oversampling ratio, which would increase the range ambiguity to signal ratio and the amount of data to be downlinked, this letter focuses on signal processing with low oversampling factors. A two-step processing scheme-recovery and reconstruction-is proposed to recover the missing sampled data using the spectral-estimation techniques first and then reconstruct the in-band energy and minimize the ambiguity energy, which is from band unlimited SAR raw data, to obtain uniform sampling in azimuth. Point target simulations and artificially gapped data generated from China's S-band spaceborne SAR system HJ-1-C are shown to validate the proposed scheme. © 2004-2012 IEEE.

关键词： Synthetic aperture radar

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Circular Buffer Rate-Matched Polar Codes

Circular Buffer Rate-Matched Polar Codes

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作者： El-Khamy, Mostafa Lin, Hsien-Ping Lee, Jungwon Kang, Inyup Samsung SOC Research and Development San DiegoCA92121 United States Department of Electrical Engineering Alexandria University Alexandria21544 Egypt Electrical and Computer Engineering Department University of California at San Diego San DiegoCA92121 United States System LSI Samsung Electronics Gyeonggi-do18448 Korea Republic of

A practical rate-matching system for constructing rate-compatible polar codes is proposed. The proposed polar code circular buffer rate-matching is suitable for transmissions on communication channels that support hybrid automatic repeat request communications, as well as for flexible resource-element rate-matching on single transmission channels. Our proposed circular buffer rate matching scheme also incorporates a bit-mapping scheme for transmission on bit-interleaved coded modulation (BICM) channels using higher order modulations. An interleaver is derived from a puncturing order obtained with a low complexity progressive puncturing search algorithm on a base code of short length, and has the flexibility to achieve any desired rate at the desired code length, through puncturing or repetition. The rate-matching scheme is implied by a two-stage polarization, for transmission at any desired code length, code rate, and modulation order, and is shown to achieve the symmetric capacity of BICM channels. Numerical results on AWGN and fast fading channels show that the rate-matched polar codes have a competitive performance when compared with the spatially-coupled quasi-cyclic LDPC codes or LTE turbo codes, while having similar rate-dematching storage and computational complexities. © 1972-2012 IEEE.

关键词： Error correction

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Prediction of the parameters of a Thermoelectric Battery with Neural Network 9

Prediction of the parameters of a Thermoelectric Battery wit...

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9th National Conference with International Participation, ELECTRONICA 2018

作者： Belovski, Ivaylo Raychev Petkov, Todor Petkov Sotirov, Sotir Nikolov Aleksandrov, Anatoliy Trifonov Department of Computer System and Technologies Prof. D-r AsenZlatarov University 1 Prof. Yakimov blvd. Burgas8010 Bulgaria Department of Electrical Engineering and Electronics Technical University of Gabrovo 4 H. Dimitar str. Gabrovo5306 Bulgaria

ISBN: (纸本)9781538658017

Recently, active developments of projects related to alternative energy sources can be observed, including revival of long known effects like the effect of Seebeck. The present paper presents studies on three thermoelectric modules working in a generator mode. On the basis of the results obtained, a neural network for prediction of the parameters of the thermoelectric batteries made from such modules was synthesized. © 2018 IEEE.

关键词： Thermoelectric equipment

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Vision-based Semantic Mapping and Localization for Autonomous Indoor Parking

Vision-based Semantic Mapping and Localization for Autonomou...

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2018 IEEE Intelligent Vehicles Symposium, IV 2018

作者： Huang, Yewei Zhao, Junqiao He, Xudong Zhang, Shaoming Feng, Tiantian Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Department of Computer Science and Technology School of Electronics and Information Engineering Tongji University Shanghai China School of Surveying and Geo-Informatics Tongji University Shanghai China

ISBN: (纸本)9781538644522

In this paper, we proposed a novel and practical solution for the real-time indoor localization of autonomous driving in parking lots. High-level landmarks, the parking slots, are extracted and enriched with labels to avoid the aliasing of low-level visual features. We then proposed a robust method for detecting incorrect data associations between parking slots and further extended the optimization framework by dynamically eliminating suboptimal data associations. Visual fiducial markers are introduced to improve the overall precision. As a result, a semantic map of the parking lot can be established fully automatically and robustly. We experimented the performance of real-time localization based on the map using our autonomous driving platform TiEV, and the average accuracy of 0.3m track tracing can be achieved at a speed of 10kph. © 2018 IEEE.

关键词： Autonomous vehicles

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Formal Verification of AUTOSAR Watchdog Manager Module Using Symbolic Execution

Formal Verification of AUTOSAR Watchdog Manager Module Using...

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International Conference on Microelectronics, ICM

作者： Mazen Ahmed Mona Safar Mentor Graphics Electronics Department Cairo University Cairo Egypt Computer Engineering and System Department Ain-shams University Cairo Egypt

ISBN: (纸本)9781538681688;9781538681671

This paper proposes a new seamless and simple technique for the compliance of AUTOSAR software with functional safety standards presented in ISO-26262 standard. This new technique uses formal verification based on symbolic execution algorithms to verify that the requirements specified by the AUTOSAR software specifications for watchdog manager module are correctly covered in the implemented software. Formal verification trials were recently done in this area as proposed by ASIL C and D levels. However, they faced many barriers either due to the software complexity increase or due to the difficulty of formal verification methods. Our new proposal is a high safety level verification technique, since it verifies the software code using formal verification techniques. This approach helps in unmasking any hidden bug early in the design stage. Experimental results illustrate the efficiency of the approach in reaching high coverage results.

关键词： Software Formal verification Microelectronics Hafnium Graphics Safety Standards

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Guest Editorial Distributed Signal Processing for Security and Privacy in Networked Cyber-Physical systems

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IEEE Transactions on Signal and Information Processing over Networks 2018年第1期4卷 1-3页

作者： Mohammadi, A. Cheng, P. Piuri, V. Plataniotis, K.N. Campisi, P. Concordia Institute for Information System Engineering Concordia University MontrealQCH3G-2W1 Canada Department of Control Science and Engineering Zhejiang University Hangzhou310027 China Department of Information Technology Universita Degli Studi di Milano CremaCR 26013 Italy Department of Electrical and Computer Engineering University of Toronto TorontoONM5S-3G4 Canada Department of Applied Electronics Universita Degli Studi Roma Tre Rome00146 Italy

The papers in this special section address distributed signal processing applications that support security and privacy in networked cyber-physical systems. Networked cyber-physical systems (CPSs) are engineering systems with integrated computational and communication capabilities that interact with humans through cyber space. The CPSs have recently emerged in several practical applications of significant engineering importance including aerospace, industrial/manufacturing process control, multimedia networks, transportation systems, power grids, and medical systems. The CPSs typically consist of both wireless and wired sensor/agent networks with different capacity/reliability levels where the emphasis is on real-time operations, and performing distributed, secure, and optimal sensing/processing is the key concern. To satisfy these requirements of the CPSs, it is of paramount importance to design innovative Signal Processing tools to provide unprecedented performance and resource utilization efficiency. © 2015 IEEE.

关键词： Special issues and sections Cyber-physical systems Sensors Intrusion detection Distributed databases Security Privacy

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Energy-efficient cooperative secure transmission in multi-UAV enabled wireless networks

arXiv

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arXiv 2019年

作者： Hua, Meng Wang, Yi Wu, Qingqing Dai, Haibo Huang, Yongming Yang, Luxi School of Information Science and Engineering Southeast University Nanjing210096 China School of Electronics and Communication Engineering Zhengzhou University of Aeronautics Zhengzhou450046 China Physical Layer Security Laboratory National Digital Switching System Engineering and Technological Research Center Zhengzhou450002 China Department of Electrical and Computer Engineering National University of Singapore Singapore School of Internet of Things Nanjing University of Posts and Telecommunications Nanjing210003 China

This paper investigates a multiple unmanned aerial vehicles (UAVs) enabled cooperative secure transmission scheme in the presence of multiple potential eavesdroppers. Specifically, multiple source UAVs (SUAVs) send confidential information to multiple legitimate ground users and in the meantime multiple jamming UAVs (JUAVs) cooperatively transmit interference signals to multiple eavesdroppers in order to improve the legitimate users' achievable secrecy rate. By taking into account the limited energy budget of UAV, our goal is to maximize the system secrecy energy efficiency (SEE), namely the achievable secrecy rate per energy consumption unit, by jointly optimizing the UAV trajectory, transmit power and user scheduling under the constraints of UAV mobility as well as the maximum transmit power. The resulting optimization problem is shown to be a non-convex and mixed-integer fractional optimization problem, which is challenging to solve. We decompose the original problem into three sub-problems, and then an efficient iterative algorithm is proposed by leveraging the block coordinate descent and Dinkelbach method in combination with successive convex approximation techniques. Simulation results show that the proposed scheme outperforms the other benchmarks significantly in terms of the system SEE. Copyright © 2019, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Exploration of intercell wireless millimeter-wave communication in the landscape of intelligent metasurfaces

arXiv

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arXiv 2019年

作者： Tasolamprou, Anna C. Pitilakis, Alexandros Abadal, Sergi Tsilipakos, Odysseas Timoneda, Xavier Taghvaee, Hamidreza Mirmoosa, Mohammad Sajjad Liu, Fu Liaskos, Christos Tsioliaridou, Ageliki Kantartzis, Nikolaos V. Manessis, Dionysios Georgiou, Julius Cabellos-Aparicio, Albert Alarcón, Eduard Pitsillides, Andreas Akyildiz, Ian Tretyakov, Sergei A. Economou, Eleftherios N. Kafesaki, Maria Soukoulis, Costas M. Foundation for Research and Technology Hellas Heraklion Crete71110 Greece Electrical and Computer Engineering Aristotle University of Thessaloniki Department Thessaloniki54124 Greece Universitat Politècnica de Catalunya Barcelona Spain Department of Electronics and Nanoengineering Aalto University P.O. Box 15500 AaltoFI-00076 Finland System Integration and Interconnection Technologies Fraunhofer IZM Berlin Germany Department of Electrical and Computer Engineering University of Cyprus Cyprus Department of Computer Science University of Cyprus Cyprus Georgia Institute of Technology School of Electrical and Computer Engineering United States Department of Physics University of Crete Heraklion Crete70013 Greece Department of Materials Science and Technology University of Crete Heraklion Crete70013 Greece Ames Laboratory Department of Physics and Astronomy Iowa State University AmesIA50011 United States

Software-defined metasurfaces are electromagnetically ultra-thin, artificial components that can provide engineered and externally controllable functionalities. The control over these functionalities is enabled by the metasurface tunability, which is implemented by embedded electronic circuits that modify locally the surface resistance and reactance. Integrating controllers within the metasurface cells, able to intercommunicate and adaptively reconfigure it, thus imparting a desired electromagnetic operation, opens the path towards the creation of an artificially intelligent (AI) fabric where each unit cell can have its own sensing, programmable computing, and actuation facilities. In this work we take a crucial step towards bringing the AI metasurface technology to emerging applications, in particular exploring the wireless mm-wave intercell communication capabilities in a software-defined HyperSurface designed for operation is the microwave regime. We examine three different wireless communication channels within the landscape of the reflective metasurface: Firstly, in the layer where the control electronics of the HyperSurface lie, secondly inside a dedicated layer enclosed between two metallic plates, and, thirdly, inside the metasurface itself. For each case we examine the physical implementation of the mm-wave transponder nodes, we quantify communication channel metrics, and we identify complexity vs. performance trade-offs. Copyright © 2019, The Authors. All rights reserved.

关键词： Millimeter waves

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An Improved Non-Geometrical Stochastic Model for Non-WSSUS Vehicle-to-Vehicle Channels

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ZTE Communications 2019年第4期17卷 62-71页

作者： HUANG Ziwei CHENG Xiang ZHANG Nan State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer SciencePeking UniversityBeijing 100871China Key Laboratory of Wireless Sensor Network&Communication Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China Wireless Algorithm Department Product Research and Development SystemZTE CorporationShanghai 201203China

A novel non-geometrical stochastic model(NGSM)for non-wide sense station ary uncorrelated scattering(non-WSSUS)vehicle-to-vehicle(V2V)channels is *** model is based on a conventional NGSM and employs a more accurate method to reproduce the realistic characteristics of V2V channels,which successfully extends the existing NGSM to include the line-of-sight(LoS)***,the statistical properties of the proposed model in different scenarios,including Doppler power spectral density(PSD),power delay profile(PDP),and the tap correlation coefficient matrix are simulated and compared with those of the existing ***,the simulation results dem onstrate not only the utility of the proposed model,but also the correctness of our theoreti cal derivations.

关键词： vehicle-to-vehicle non-WSSUS channels non-geometrical stochastic model LoS component statistical properties

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Image recognition and classification by deep belief-convolutional neural networks

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Qinghua Daxue Xuebao/Journal of Tsinghua University 2018年第9期58卷 781-787页

作者： Liu, Qiong Li, Zongxian Sun, Fuchun Tian, Yonghong Zeng, Wei School of Automation Beijing Information Science and Technology University Beijing100192 China National Engineering Laboratory for Video Technology School of Electronics Engineering and Computer Science Peking University Beijing100871 China State Key Laboratory of Intelligence Technology and System Department of Computer Science Tsinghua University Beijing100084 China

Convolutional neural network (CNN) would easily converge to the local minimum if the network was randomly initialized in image classification tasks. A deep belief network pre-training method was developed by merging unsupervised and supervised methods. Feature sets were extracted from the image patches of zero component analysis (ZCA) whitening and deep belief pre-training to initialize weights of CNNs. Then, convolution features were extracted from the training samples by applying convolution and pooling operations and classified to a specific category through a fully connected network. Finally, the loss value was computed for global optimization. Extensive experimental evaluations on some public datasets show that this method is simple but very effective with the error rate decrease of 0.1% on MNIST and the accuracy increase of 0.56% on Caltech101, which indicates that this method is superior to similar methods. © 2018, Tsinghua University Press. All right reserved.

关键词： Image recognition

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