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Experimental Results of Novel DoA Estimation algorithms for Compact Reconfigurable Antennas

INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION 2017年第7-24期2017卷 1613638-1613638页

作者： Paaso, Henna Hakkarainen, Aki Gulati, Nikhil Patron, Damiano Dandekar, Kapil R. Valkama, Mikko Mammela, Aarne VTT Tech Res Ctr Finland Kaitovayla 1POB 1100 Oulu 90571 Finland Tampere Univ Technol Dept Elect & Commun Engn POB 553 FIN-33101 Tampere Finland Drexel Univ Dept Elect & Comp Engn 3141 Chestnut St Philadelphia PA 19104 USA

Reconfigurable antenna systems have gained much attention for potential use in the next generation wireless systems. However, conventional direction-of-arrival (DoA) estimation algorithms for antenna arrays cannot be used directly in reconfigurable antennas due to different design of the antennas. In this paper, we present an adjacent pattern power ratio (APPR) algorithm for two-port composite right/left-handed (CRLH) reconfigurable leaky-wave antennas (LWAs). Additionally, we compare the performances of the APPR algorithm and LWA-based MUSIC algorithms. We study how the computational complexity and the performance of the algorithms depend on number of selected radiation patterns. In addition, we evaluate the performance of the APPR and MUSIC algorithms with numerical simulations as well as with real world indoor measurements having both line-of-sight and non-line-of-sight components. Our performance evaluations show that the DoA estimates are in a considerably good agreement with the real DoAs, especially with the APPR algorithm. In summary, the APPR and MUSIC algorithms for DoA estimation along with the planar and compact LWA layout can be a valuable solution to enhance the performance of the wireless communication in the next generation systems.

关键词： Antennas (Electronics) computer algorithms Wireless communication systems Machine theory Estimation theory

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Chaos Quantum-Behaved Cat Swarm Optimization Algorithm and Its Application in the PV MPPT

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COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2017年第1期2017卷 1-11页

作者： Nie, Xiaohua Wang, Wei Nie, Haoyao Nanchang Univ Informat Engn Sch Nanchang 330031 Jiangxi Peoples R China Nanchang Univ Econ Management Sch Nanchang 330031 Jiangxi Peoples R China

Cat Swarm Optimization (CSO) algorithm was put forward in 2006. Despite a faster convergence speed compared with Particle Swarm Optimization (PSO) algorithm, the application of CSO is greatly limited by the drawback of "premature convergence," that is, the possibility of trapping in local optimum when dealing with nonlinear optimization problem with a large number of local extreme values. In order to surmount the shortcomings of CSO, Chaos Quantum-behaved Cat Swarm Optimization (CQCSO) algorithm is proposed in this paper. Firstly, Quantum-behaved Cat SwarmOptimization (QCSO) algorithm improves the accuracy of the CSO algorithm, because it is easy to fall into the local optimum in the later stage. Chaos Quantum-behaved Cat Swarm Optimization (CQCSO) algorithm is proposed by introducing tent map for jumping out of local optimum in this paper. Secondly, CQCSO has been applied in the simulation of five different test functions, showing higher accuracy and less time consumption than CSO and QCSO. Finally, photovoltaic MPPT model and experimental platform are established and global maximum power point tracking control strategy is achieved by CQCSO algorithm, the effectiveness and efficiency of which have been verified by both simulation and experiment.

关键词： SOLAR energy PARTICLE swarm optimization computer algorithms QUANTUM mechanics NONLINEAR systems

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Performance Analysis of 5G Transmission over Fading Channels with Random IG Distributed LOS Components

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INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION 2017年第7-13期2017卷 4287586-4287586页

作者： Jaksic, Dejan Bojovic, Risto Spalevic, Petar Stefanovic, Dusan Trajkovic, Slavisa Singidunum Univ Fac Tech Sci Belgrade Serbia Univ Pristina Fac Tech Sci Kosovska Mitrovica Serbia Univ Nis High Tech Coll Nish Serbia Univ Pristina Fac Econ Kosovska Mitrovica Serbia

Mathematical modelling of the behavior of the radio propagation at mmWave bands is crucial to the development of transmission and reception algorithms of new 5G systems. In this study we will model 5G propagation in nondeterministic line-of-sight (LOS) conditions, when the random nature of LOS component ratio will be observed as Inverse Gamma (IG) distributed process. Closed-form expressions will be presented for the probability density function (PDF) and cumulative distribution function (CDF) of such random process. Further, closed-form expressions will be provided for important performance measures such as level crossing rate (LCR) and average fade duration (AFD). Capitalizing on proposed expressions, LCR and AFD will be discussed in the function of transmission parameters.

关键词： Theory of wave motion Cumulative distribution function Probability density function Line-of-sight radio links computer algorithms

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Dynamic Optimization Design of Cranes Based on Human-Crane-Rail System Dynamics and Annoyance Rate

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SHOCK AND VIBRATION 2017年第1期2017卷 1-19页

作者： Xin, Yunsheng Xu, Gening Su, Nina Taiyuan Univ Sci & Technol Sch Mech Engn Taiyuan 030024 Peoples R China Taiyuan Univ Technol Coll Econ & Management Taiyuan 030024 Peoples R China

The operators of overhead traveling cranes experience discomfort as a result of the vibrations of crane structures. These vibrations are produced by defects in the rails on which the cranes move. To improve the comfort of operators, a nine-degree-of-freedom (nine-DOF) mathematical model of a "human-crane-rail" system was constructed. Based on the theoretical guidance provided in ISO 2631-1, an annoyance rate model was established, and quantization results were determined. A dynamic optimization design method for overhead traveling cranes is proposed. A particle swarm optimization (PSO) algorithm was used to optimize the crane structural design, with the structure parameters as the basic variables, the annoyance rate model as the objective function, and the acceleration amplitude and displacement amplitude of the crane as the constraint conditions. The proposed model and method were used to optimize the design of a double-girder 100 t-28.5m casting crane, and the optimal parameters are obtained. The results show that optimization decreases the human annoyance rate from 28.3% to 9.8% and the root mean square of the weighted acceleration of human vibration from 0.59m/s(2) to 0.38m/s(2). These results demonstrate the effectiveness and practical applicability of the models and method proposed in this paper.

关键词： CRANES, derricks, etc. RAILROADS PARTICLE swarm optimization MATHEMATICAL models computer algorithms ACCELERATION (Mechanics) DESIGN & construction

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Accurate 2-D AOA Estimation and Ambiguity Resolution for a Single Source under Fixed Uniform Circular Arrays

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INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION 2017年第12-12期2017卷 9489318-9489318页

作者： Zuo, Le Pan, Jin Univ Elect Sci & Technol China Dept Microwave Engn Chengdu 611731 Sichuan Peoples R China

This paper presents an analytic algorithm for accurate two-dimensional (2-D) angle of arrival (AOA) estimation of a single source under fixed uniform circular arrays (UCAs). Algebraic and explicit formulations for 2-D AOA estimation are first developed in the Fourier domain. It is shown that three is the minimum number of antennas for 2-D AOA estimation based on phase measurement. Then a signal model for phase extraction is established with equivalent phase noises through observations of signal samples corrupted by additive Gaussian white noise. Under fixed UCAs, 2-D AOA estimation of a single source would suffer from phase ambiguity, and hence, ambiguity resolution is also addressed in the Fourier domain by integer search. Numerical examples are provided to verify the effectiveness and appealing performance of the proposed 2-D AOA estimation algorithm.

关键词： Angle of arrival (Wave motion) Phase noise computer algorithms White noise Signal processing

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Control Strategy for Two-Stage Photovoltaic Power Converter During Simultaneous Grid Faults and Irradiance Change

Control Strategy for Two-Stage Photovoltaic Power Converter ...

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IEEE International Conference on Power Electronics and Motion Control

作者： Ivana Isakov Vladimir Katic Ivan Todorovic Stevan Grabic Faculty of Technical Sciences University of Novi Sad

ISBN: (纸本)9781538641996

The development of the distributed power energy sources has resulted in the increase of the number of the power converters in the distribution network. The control strategies of these converters have to be improved in order to maximize the power production and satisfy the grid code requirements, especially in abnormal grid conditions. In this paper control algorithm for a photovoltaic (PV) system connected to the grid through two-stage power converter is analyzed considering normal grid conditions and grid faults, as well as sudden change of the illumination intensity on the PV side. The proposed solution features several key improvements comparing to the existing solutions, such as smooth transition between the modes of operation, fast response to the grid disturbances, provision of several grid support strategies and instantaneous limitation of the phase currents. The control algorithm is tested in the hardware-in-the-loop testing environment and the results that verify the proposed control strategy are given.

关键词： control strategy power conversion unit grids Converters illumination intensity Grid Power production Phase current Energy sources Grid computing Power grids smooth transition computer algorithms PHOTOVOLTAIC Power (Psychology)

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A Global-Relationship Dissimilarity Measure for the k-Modes Clustering Algorithm

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COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2017年第20170101期2017卷 3691316-3691316页

作者： Zhou, Hongfang Zhang, Yihui Liu, Yibin Xian Univ Technol Sch Comp Sci & Engn Xian 710048 Peoples R China

The k-modes clustering algorithm has been widely used to cluster categorical data. In this paper, we firstly analyzed the k-modes algorithm and its dissimilarity measure. Based on this, we then proposed a novel dissimilarity measure, which is named as GRD. GRD considers not only the relationships between the object and all cluster modes but also the differences of different attributes. Finally the experiments were made on four real data sets from UCI. And the corresponding results show that GRD achieves better performance than two existing dissimilarity measures used in k-modes and Cao's algorithms.

关键词： K-means clustering computer algorithms DATA mining BIG data FUZZY clustering technique

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Optimal Planning of Communication System of CPS for Distribution Network

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JOURNAL OF SENSORS 2017年第3-7期2017卷 9303989-9303989页

作者： Yang, Ting Huang, Zhiyong Pen, Haibo Zhang, Yajian Tianjin Univ Key Lab Smart Grid Minist Educ Tianjin Peoples R China

IoT is the technical basis to realize the CPS (Cyber Physical System) for distribution networks, with which the complex system becomes more intelligent and controllable. Because of the multihop and self-organization characteristics, the large-scale heterogeneous CPS network becomes more difficult to plan. Using topological potential theory, one of typical big data analysis technologies, this paper proposed a novel optimal CPS planning model. Topological potential equalization is considered as the optimization objective function in heterogeneous CPS network with the constraints of communication requirements, physical infrastructures, and network reliability. An improved binary particle swarm optimization algorithm is proposed to solve this complex optimal problem. Two IEEE classic examples are adopted in the simulation, and the results show that, compared with benchmark algorithms, our proposed method can provide an effective topology optimization scheme to improve the network reliability and transmitting performance.

关键词： Telecommunication systems Cyber-physical systems Self-organizing systems computer algorithms Potential theory (Mathematics)

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Constrained Long-Horizon Direct Model Predictive Control for Synchronous Reluctance Motor Drives

Constrained Long-Horizon Direct Model Predictive Control for...

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IEEE Workshop on Control and Modeling for Power Electronics

作者： L. Ortombina E. Liegmann P. Karamanakos F. Tinazzi M. Zigliotto R. Kennel University of Padova Dept. of Management and Engineering Technical University Munich Chair of Electrical Drive Systems and Power Electronics Tampere University of Technology Faculty of Computing and Electrical Engineering

ISBN: (纸本)9781538655429

A finite control set model predictive control strategy for the control of the stator currents of a synchronous reluctance motor driven by a three-level neutral point clamped inverter is presented in this paper. The presented algorithm minimizes the stator current distortions while operating the drive system at switching frequencies of a few hundred Hertz. Moreover, the power electronic converter is protected by overcurrents and/or overvoltages owing to a hard constraint imposed on the stator currents. To efficiently solve the underlying integer nonlinear optimization problem a sphere decoding algorithm serves as optimizer. To this end, a numerical calculation of the unconstrained solution of the optimization problem is proposed, along with modifications in the algorithm proposed in [1] so as to meet the above-mentioned control objectives. Simulation results show the effectiveness of the proposed control algorithm.

关键词： stator current synchronous reluctance motor drive train Model predictive control Predictive control reluctance motor drives computer algorithms Automobile driving PROBLEM SOLUTION numerical calculation Inventors DRIVES

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Turing’s Vision: The Birth of computer Science

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2016年

作者： Chris Bernhardt

ISBN: (纸本)9780262034548

In 1936, when he was just twenty-four years old, Alan Turing wrote a remarkable paper in which he outlined the theory of computation, laying out the ideas that underlie all modern computers. This groundbreaking and powerful theory now forms the basis of computer science. In Turing's Vision, Chris Bernhardt explains the theory, Turing's most important contribution, for the general reader. Bernhardt argues that the strength of Turing's theory is its simplicity, and that, explained in a straightforward manner, it is eminently understandable by the nonspecialist. As Marvin Minsky writes, "The sheer simplicity of the theory's foundation and extraordinary short path from this foundation to its logical and surprising conclusions give the theory a mathematical beauty that alone guarantees it a permanent place in computer theory." Bernhardt begins with the foundation and systematically builds to the surprising conclusions. He also views Turing's theory in the context of mathematical history, other views of computation (including those of Alonzo Church), Turing's later work, and the birth of the modern computer. In the paper, "On Computable Numbers, with an Application to the Entscheidungsproblem," Turing thinks carefully about how humans perform computation, breaking it down into a sequence of steps, and then constructs theoretical machines capable of performing each step. Turing wanted to show that there were problems that were beyond any computer's ability to solve; in particular, he wanted to find a decision problem that he could prove was undecidable. To explain Turing's ideas, Bernhardt examines three well-known decision problems to explore the concept of undecidability; investigates theoretical computing machines, including Turing machines; explains universal machines; and proves that certain problems are undecidable, including Turing's problem concerning computable numbers.

关键词： Turing, Alan Mathison, computer engineering Mathematicians computer algorithms History. History. Great Britain Great Britain

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