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European Conference on Microwave

作者： Yi Zhan Da-zhuang Ji National Laboratory of Information Control Technology for Communication System Jiaxing China Engineer College Air Force Engineering University Xi'an China

A novel approach of signal subspace based improved polynomial roots (SS-IPR) for direction of arrival (DOA) estimation is proposed. The new method uses signal subspace, instead of the original IPR method, to derive the coefficients of the polynomial for DOA estimation. When the number of signals is less compared with the array number, which is the most common situation in application, the computation burden and complexity can be reduced effectively. The theoretical derivation is given to formulate the new algorithm and simulations are conducted to show the validity and effectiveness of our method.

关键词： Intellectual property Direction of arrival estimation Signal processing Polynomials Covariance matrix Directive antennas Microwave antenna arrays Additive white noise AWGN Computational modeling

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The Performance Analysis of an Improved Robust Beamforming Algorithm

The Performance Analysis of an Improved Robust Beamforming A...

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WRI International Conference on communications and Mobile Computing, CMC

作者： Chun-Jing Liu Shu Zhang Feng Liu Harbin Engineering University Harbin Heilongjiang CN College of Information and Communication Engineering Harbin Engineering of Technology Harbin China National Information Control Laboratory Chengdu China

The conventional minimum variance beamformer (MVB) is known to have better resolution and much better interference rejection capability when the array steering vector is accurately known. However, the major problem of the MVB is that it lacks robustness against the unknown array steering vector errors. Therefore, diagonal loading and its extended versions have been a popular approach to improve the robustness of MVB. In this paper, we provide an improved robust MVB (RMVB) algorithm, which has been derived by enforcing a spherical uncertainty set constraint on the array steering vector. The new algorithm has reasonable computation complexity and more numerical stability. Simulation results show that the new algorithm is effective in the presence of array steering vector errors.

关键词： Performance analysis Robustness Array signal processing Uncertainty Signal processing algorithms Interference Vectors Sensor arrays Covariance matrix Mobile communication

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Boundedness and stability for the solutions of impulsive neural networks with time-varying delay

Boundedness and stability for the solutions of impulsive neu...

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International Joint Conference on Neural Networks (IJCNN)

作者： Xuyang Lou Ruliang Wang Baotong Cui College of Communication and Control Engineering Jiangnan University Wuxi China Department of Information Technology Guangxi Teachers Education University Nanning China

By employing Lyapunov functions and Razumikhin techniques, we analyze the uniform boundedness and uniform asymptotic stability for a large class of impulsive neural networks with time-varying delay. Some new criteria are obtained to ensure the uniform boundedness and uniform asymptotic stability of the impulsive neural networks. The results remove the usual assumption that the activation functions f j (ldr) are of bounded, monotonous or differential character. Moreover, the time-varying delay function is not required to be differential. Therefore, the results which are easy to check and apply in practice, extend and improve the earlier publications.

关键词： Neural networks Asymptotic stability Lyapunov method Artificial neural networks Stability analysis Delay effects Stability criteria Sufficient conditions Frequency Differential equations

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Nonlinear predictive control based on online support vector machine

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Journal of Computational Information Systems 2009年第4期5卷 1165-1170页

作者： Du, Zhiyong Wang, Xianfang Henan Mechanical and Electrical Engineering College Henan Xinxiang 453002 China Henan Institute of Science and Technology Xinxiang 453003 China School of Communication and Control Engineering Jiangnan University Wuxi 214122 China

It is difficult to build an accurate model using the traditional predictive control algorithm for a nonlinear system. Because of the nonlinearity, time variation, the control quality is not ideal. A nonlinear predictive control algorithm based on online support vector machines model was proposed. The nonlinear model of the nonlinear system was obtained by online support vector machine to train a sequence data of input and output, and we can improve the system model accuracy online. The simulation results illustrate that the nonlinear predictive control using online SVM is effective. © 2009 Binary Information Press August, 2009.

关键词： Nonlinear systems

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Implementation and Evaluation of a Ubiquitous Health Monitoring System

Implementation and Evaluation of a Ubiquitous Health Monitor...

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International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： Akira Yamazaki Akio Koyama Junpei Arai Leonard Barolli Department of Informatics Graduate School of Science and Engineering Yamagata University Japan Department of Information and Control Engineering Yamagata College of Industry and Technology Japan Department of Information and Communication Engineering Fukuoka Institute of Technology Japan

ISBN: (纸本)9781424435692

In recent years, because of the birthrate declining and the elderly peoplepsilas population growing, the lack of doctors and the increase of the medical cost is becoming a big problem. One of solution for this problem is to prevent the humans from diseases in order to reduce the medical cost (e.g. by using the hospital as few times as possible). In this research, we have developed a wearable vital sensor which can be used anywhere without disrupting the everyday life of the patient. Furthermore, we have implemented a ubiquitous health monitoring system, which can confirm and share the sensor information received from a cellular phone attached to the wearable vital sensor immediately through the browser. This system can also send emergency report based on sensor information to the family and the doctor. In addition, we verified the system effectiveness by evaluating the implemented system.

关键词： Biomedical monitoring Wearable sensors Sensor systems Costs Senior citizens Humans Diseases Hospitals Patient monitoring Cellular phones

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Capacitive Impedance Spectroscopy Measuring System

Capacitive Impedance Spectroscopy Measuring System

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第九届电介质材料性能与应用国际会议(The 9th International Conference on Properties and Applications of Dielectric Materials)

作者： Zhaohui XI D.Vladikova Z.Stoynov Nunev NUNCHO College of Measurement Control Tech & Communication Engineering Harbin University of Science and Te Institute of Electrochemistry and Energy System 1113 Sofia Acad.G.Bonchev str. b1.10 BULGARIA

ISBN: (纸本)9781424443673

During the last years the method of the Electrochemical Impedance Spectroscopy has been intensively developed. It is the most powerful electrochemical method, because of it unique ability to investigate the structure and the properties of the objects in a wide frequency range. The Capacitive Impedance Spectroscopy (CIS) is of special interest. The further development of this principle is given in the current work. It gives an opportunity to investigate the electric properties of different kinds of materials. A special measuring system is developed for this purpose. A modern computer techniques with a special data analyze software is also described.

关键词： electrochemical impedance spectroscopy capacitive impedance spectroscopy complez electric permittivity

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Failure modes analysis of electromagnetic flowmeter based on failure data statistics

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2009年第SUPPL.期30卷 251-253页

作者： Zhou, Zhen Ma, Dezhong Yu, Xiaoyang Qin, Yong Zhang, Lina College of Measurement-Control Technology and Communications Engineering Harbin University of Science and Technology Harbin 150040 China

Failure criterion of electromagnetic flowmeter is fixed in this paper. The main points in after-sale services records and the process of collecting field failure data are also proposed. And then, it is found that the wrong use by consumer and the fault in main board are primary factors leading to failure of electromagnetic flowmeter by field failure data Statistics. Reasons and modes of failure led by wrong use are further analyzed. These analyses are bases to estimate life distribution and improve the reliability of electromagnetic flowmeter.

关键词： Flow measurement

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Segment Clustering Radar Signal Sorting

Segment Clustering Radar Signal Sorting

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The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

作者： Qiang Guo Wei Xu Changhong Wang Di Guan Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 15000 College of Information and Communication Engineering Harbin Engineering University Harbin 150001 Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 15000 Harbin Normal University Harbin 150080 China

Radar signal sorting is picking-up pulse serial of same radar emitter from dense complex pulse signal flow. The tolerance of radar signal sorting is analyzed in modern electronic warfare. The complex and dense pulses environment makes it become a vital factor to restrict the efficiency of sorting of the conventional multi-parameters signal sorting system. A segment clustering radar signal sorting method is presented based on support vector clustering (SVC) according to the idea of statistics learning theory. It prevents tolerance from affecting radar sorting. The accuracy of sorting and the sensitivity of algorithm on parameter variation is analyzed. The experimental results show that the sorting method presented is effective to overcome the tolerance of radar signal sorting.

关键词： Sorting Pulse measurements Spaceborne radar Space technology Signal processing Radar measurements Space vector pulse width modulation Signal analysis Radio frequency Data mining

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Routing Protocol for Wireless Sensor Networks in Home Automation

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IFAC Proceedings Volumes 2009年第3期42卷 27-33页

作者： Xiao Hui Li Hong Qin Xu Seung Ho Hong Zhi Wang Xiang Fan Piao Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of Education Wuhan University of Science and Technology Wuhan Hubei 430081 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China Department of Electronics Information and System Engineering Hanyang University 425-791 Korea Department of Electronic Information Engineering College of Science and Engineering Yanbian University Yanji 133002 China

Home automation systems based on wireless sensor/actuator networks are characterized by diversity of node power sources, limited computational power, and mobility. We propose a routing protocol that fully uses the location of static nodes to limit the search for a route to a small zone based on the analysis of characteristics and requirements. The calculation of two different kinds of zone and the route discovery procedure are described in this paper. According to the environment of home automation, we compared the performance of our routing protocols with the ad-hoc on-demand distance-vector protocol using simulation and gave suggestions for zone selection. Simulation results showed that our routing protocol dramatically reduced the routing overhead and increased the reliability.

关键词： Wireless Sensor/Actuator Networks Home Automation Routing Protocol

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Data Filtering Based Recursive Least Squares Parameter Estimation for ARMAX Models

Data Filtering Based Recursive Least Squares Parameter Estim...

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WRI International Conference on communications and Mobile Computing, CMC

作者： Yuwu Liao Dongqing Wang Feng Ding Department of Physics and Electronics Information Technology Xiangtan University Xiangtan China College of Automation Engineering Qingdao University of China Qingdao China School of Communication and Control Engineering Jiangnan University Wuxi China

This paper uses an estimated noise transfer function to filter the input-output data and presents a filtering based recursive least squares algorithm for ARMAX models. Through the data filtering, we obtain two identification models, one including the parameters of the system model, and the other including the parameters of the noise model. Thus, the recursive least squares method can estimate the parameters of these two identification models, respectively, by replacing unmeasurable noise terms in the information vectors with their estimates. The proposed F-RLS algorithm has high computational efficiency because the dimensions of its covariance matrices become small and can generate more accurate parameter estimation compared with other existing algorithms.

关键词： Least squares approximation Parameter estimation Autoregressive processes Recursive estimation Filtering algorithms Least squares methods Mobile communication Educational institutions Predictive models Mobile computing

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