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Multi-mode clutter suppression of multiple-input-multiple-output over-the-horizon radar based on blind source separation

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IET RADAR SONAR AND NAVIGATION 2015年第8期9卷 956-966页

作者： Dou, Daoxiang Li, Mao He, Zishu Univ Elect Sci & Technol China EE Dept Chengdu 611731 Sichuan Peoples R China

Spread-Doppler clutter caused by multi-mode propagation seriously affects the over-the-horizon radar detection performance for slow ships. To solve this problem, the authors propose to suppress multi-mode clutter using spatial information in the multiple-input-multiple-output over-the-horizon radar system. Traditional processing algorithms need prior information of the target direction. However, it is often not readily available. In this study, they propose a novel multi-mode clutter suppression algorithm based on the second-order blind identification (SOBI) technique. The proposed algorithm does not need prior information of the target direction and can effectively suppress the multi-mode clutter. Considering that the SOBI algorithm affected by the similarity in sources spectra, they improve the proposed algorithm using the spatial smoothing technique. Simulation results show that, in the single target scene, the improved algorithm can effectively eliminate the spectrum burrs caused by incomplete separation, making separated signals smoother. Signal-to-clutter-noise ratio is greatly improved. The good multi-mode clutter suppression performance is obtained. In the multi-mode scenario that double targets with the same radial velocity, that is, sources spectra have similarities, the algorithm based on SOBI cannot separate all targets. Although the improved algorithm can make all targets visible and effectively suppresses the multi-mode clutter.

关键词： BLIND source separation MIMO systems OVER-the-horizon radar DOPPLER effect computer algorithms

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Multichannel SAR wide-swath imaging based on adaptive removal of azimuth ambiguities

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REMOTE SENSING LETTERS 2015年第8期6卷 628-636页

作者： Shen, Mingwei Yang, Liu Wu, Di Zhu, Daiyin Hohai Univ Coll Comp & Informat Engn Nanjing 211100 Jiangsu Peoples R China Nanjing Univ Aeronaut & Astronaut Minist Educ Key Lab Radar Imagine & Microwave Photon Nanjing 210016 Peoples R China

By exploiting the direction of arrival (DoA) information of azimuth ambiguity, an innovative algorithm for the adaptive suppression of azimuth ambiguity for multichannel synthetic aperture radar (SAR) wide-swath imaging is presented. It firstly estimates the DoA value of each azimuth component within a Doppler cell using the efficient noise subspace-based iterative estimation technique. Then the spatial filter for sequentially extracting the desired azimuth component is derived, which is designed to be used with the newly estimated DoA information within each Doppler bin. Finally, the azimuth ambiguities can be suppressed via the implementation of spatial filtering. The proposed approach is robust to aircraft velocity errors, and its effectiveness is validated via simulation results.

关键词： AZIMUTH SYNTHETIC aperture radar DOPPLER radar ITERATIVE methods (Mathematics) computer algorithms DIGITAL image processing

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An integrated V2X simulator with applications in vehicle platooning

An integrated V2X simulator with applications in vehicle pla...

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IEEE International Conference on Intelligent Transportation Systems

作者： Apratim Choudhury Tomasz Maszczyk Muhammad Tayyab Asif Nikola Mitrovic Chetan B. Math Hong Li Justin Dauwels Faculty of Electrical and Electronics Engineering Nanyang Technological University IBM Singapore Department of Electrical Engineering Eindhoven University of Technology NXP Semiconductors Eindhoven

ISBN: (纸本)9781509018901

One of the most exciting applications of V2X technologies, that is envisioned, is the platooning of a series of autonomous vehicles led by a manually driven vehicle. However, the realization of this application depends entirely on the efficacy of a platoon control algorithm and the communication channel amongst the platoon members. There are many different control algorithms that are being considered to maintain a constant distance/time Gap amongst the platoon members based on the speed and acceleration profile of the other vehicles in the platoon. However, before a particular control algorithm can be deployed, it needs to be thoroughly analysed to see if it can indeed produce the desired effect under all sorts of traffic conditions and with varying penetration rates of V2X technology. In addition, one would also need to collect data on data packet delivery rate and the amount of delay, using different platoon management protocols. This information can then be utilized as a feedback to fine tune both the protocol and the control algorithm itself. This work aims to provide a holistic platform which integrates three simulators VISSIM (Traffic Simulation), NS-3 (Network Simulation) and MATLAB (Platoon control algorithm) that allows testing control algorithm stability in the presence of realistic communication constraints. To illustrate the usability of this co-simulation framework, we have presented results on velocity tracking of leader by follower vehicles while maintaining a specified inter-vehicular gap, for a small platoon along with results on data packet delivery for larger platoons.

关键词： computer algorithms Car following data packets vehicle Communication channels network analog simulator penetration rate Autonomous Vehicles protocols

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One-Class Classification with Extreme Learning Machine

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-11页

作者： Leng, Qian Qi, Honggang Miao, Jun Zhu, Wentao Su, Guiping Univ Chinese Acad Sci Sch Comp & Control Engn Beijing 101408 Peoples R China Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China

One-class classification problem has been investigated thoroughly for past decades. Among one of the most effective neural network approaches for one-class classification, autoencoder has been successfully applied for many applications. However, this classifier relies on traditional learning algorithms such as backpropagation to train the network, which is quite time-consuming. To tackle the slow learning speed in autoencoder neural network, we propose a simple and efficient one-class classifier based on extreme learning machine (ELM). The essence of ELM is that the hidden layer need not be tuned and the output weights can be analytically determined, which leads to much faster learning speed. The experimental evaluation conducted on several real-world benchmarks shows that the ELM based one-class classifier can learn hundreds of times faster than autoencoder and it is competitive over a variety of one-class classification methods.

关键词： MACHINE learning NEURAL networks (computer science) BACK propagation (Artificial intelligence) computer algorithms ENCODING

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Generalized Accelerated Failure Time Frailty Model for Systems Subject to Imperfect Preventive Maintenance

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-8页

作者： Yin, Huilin Yang, Xiaohan Peng, Rui Tongji Univ CDHK Dept Elect & Informat Engn Shanghai 200092 Peoples R China Tongji Univ Dept Math Shanghai 200092 Peoples R China Tongji Univ Sch Elect & Informat Engn Shanghai 200092 Peoples R China

Imperfect preventive maintenance (PM) activities are very common in industrial systems. For condition-based maintenance (CBM), it is necessary to model the failure likelihood of systems subject to imperfect PM activities. In this paper, the models in the field of survival analysis are introduced into CBM. Namely, the generalized accelerated failure time (AFT) frailty model is investigated to model the failure likelihood of industrial systems. Further, on the basis of the traditional maximum likelihood (ML) estimation and expectation maximization (EM) algorithm, the hybrid ML-EM algorithm is investigated for the estimation of parameters. The hybrid iterative estimation procedure is analyzed in detail. In the evaluation experiment, the generated data of a typical degradation model are verified to be appropriate for the real industrial processes with imperfect PM activities. The estimates of the model parameters are calculated using the training data. Then, the performance of the model is analyzed through the prediction of remaining useful life (RUL) using the testing data. Finally, comparison between the results of the proposed model and the existing model verifies the effectiveness of the generalized AFT frailty model.

关键词： GENERALIZATION ESTIMATION theory computer algorithms PARAMETER estimation ITERATIVE methods (Mathematics)

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Image Denoising via Asymptotic Nonlocal Filtering

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-9页

作者： Liu, Xiaoyan Feng, Xiangchu Zhang, Xuande Li, Xiaoping Luo, Liang Xidian Univ Sch Math & Stat Xian 710071 Peoples R China Xian Shiyou Univ Sch Sci Xian 710065 Shaanxi Peoples R China Ningxia Univ Sch Math & Comp Sci Yinchuan 750021 Peoples R China

The nonlocal means algorithm is widely used in image denoising, but this algorithm does not work well for high-intensity noise. To overcome this shortcoming, we establish a coupled iterative nonlocal means model in this paper. Considering the computation complexity of the new model, we realize it by using multiscale wavelet transform and propose an asymptotic nonlocal filtering algorithm which can reduce the influence of noise on similarity estimation and computation complexity. Moreover, we build a new nonlocal weight function based on the structure similarity index. Simulation results indicate that the proposed approach cannot only remove the noise but also preserve the structure of image and has good visual effects, especially for highly degenerated images.

关键词： IMAGE denoising computer algorithms NOISE measurement COMPUTATIONAL complexity SIMULATION methods & models IMAGE processing

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An Algorithm for Generating Boolean Expressions in VHDL Based on Ladder Diagrams

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-10页

作者： Xie, Hongxia Zhuang, Zheng-Yun Zhejiang Univ City Coll Sch Comp & Comp Sci 51 Huzhou St Hangzhou 310015 Zhejiang Peoples R China

This study proposes an algorithm for generating the associated Boolean expression in VHDL, given a ladder diagram (LD) as the input. The purpose of the algorithm is to implement of field-programmable gate array-(FPGA-) based programmable logic controllers (PLCs), where an effective conversion from an LD to its associated Boolean expressions seems rarely mentioned. Based on this core thought, the conversion process of the algorithm first involves abstracting and expressing the encountered LD as an activity-on-vertex (AOV) graph. Next, an AND-OR tree in which AND-nodes and OR-nodes connote the series and the parallel relationships between the vertices of the AOV graph is constructed based on the AOV graph. Therefore, by a traversal to the AND-OR tree, the associated Boolean expression, as the output of the algorithm, can be easily obtained in VHDL. The proposed algorithm is then verified with an illustrative example, wherein a complicated LD is given as the input.

关键词： BOOLEAN algebra MATHEMATICAL notation VHDL (computer hardware description language) FIELD programmable gate arrays computer algorithms

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BAT ALGORITHM: A SURVEY OF THE STATE-OF-THE-ART

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APPLIED ARTIFICIAL INTELLIGENCE 2015年第6期29卷 617-634页

作者： Chawla, Mridul Duhan, Manoj Deenbandhu Chhotu Ram Univ Sci & Technol Dept Elect & Commun Engn Sonipat 131039 Haryana India

The area of metaheuristic optimization algorithms has been attracting researchers for many years. These algorithms have built in capability to explore a large region of the solution space, are computationally robust, efficient and can avoid premature convergence. They have been extensively tested and applied on many hard optimization problems where conventional computing techniques perform unsatisfactorily. They are capable of solving general N-dimensional, linear, nonlinear and complex global optimization problems. One of the latest entrants in this field is the Bat algorithm which is based on the echolocation behaviour of bats. It has been proven to have good convergence properties on different benchmark functions and seems promising for dealing with optimization problems. The aim of this paper is to provide a survey of the state of the art on Bat algorithm. A concise effort has been made so that the readers get a rapid insight into some of the applications upon which bat algorithm has been applied till date in specialized fields of science and engineering. Some of the variants of the bat algorithm as reported in the literature have also been discussed.

关键词： computer algorithms computer surveys Stochastic convergence Metaheuristic algorithms Benchmark problems (computer science)

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Smart Demand Response Based on Smart Homes

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-8页

作者： Lai, Jingang Zhou, Hong Hu, Wenshan Zhou, Dongguo Zhong, Liang Wuhan Univ Dept Automat Wuhan 430072 Peoples R China

Smart homes (SHs) are crucial parts for demand response management (DRM) of smart grid (SG). The aim of SHs based demand response (DR) is to provide a flexible two-way energy feedback whilst (or shortly after) the consumption occurs. It can potentially persuade end-users to achieve energy saving and cooperate with the electricity producer or supplier to maintain balance between the electricity supply and demand through the method of peak shaving and valley filling. However, existing solutions are challenged by the lack of consideration between the wide application of fiber power cable to the home (FPCTTH) and related users' behaviors. Based on the new network infrastructure, the design and development of smart DR systems based on SHs are related with not only functionalities as security, convenience, and comfort, but also energy savings. A new multirouting protocol based on Kruskal's algorithm is designed for the reliability and safety of the SHs distribution network. The benefits of FPCTTH-based SHs are summarized at the end of the paper.

关键词： SUPPLY & demand HOME automation SMART power grids ENERGY conservation computer algorithms

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Towards 3-D distributed odor source localization: An extended graph-based formation control algorithm for plume tracking

Towards 3-D distributed odor source localization: An extende...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Jorge M. Soares Ali Marjovi Jonathan Giezendanner Anil Kodiyan A. Pedro Aguiar Antonio M. Pascoal Alcherio Martinoli Distributed Intelligent Systems and Algorithms Laboratory School of Architecture Civil and Environmental Engineering école Polytechnique Fédérale de Lausanne (EPFL) 1015 Switzerland Research Center for Systems and Technology Faculty of Engineering University of Porto Rua Dr. Roberto Frias 4200-465 Portugal Laboratory of Robotics and Engineering Systems Instituto Superior Técnico University of Lisbon Av. Rovisco Pais 1049-001 Lisboa Portugal

ISBN: (纸本)9781509037636

The large number of potential applications for robotic odor source localization has motivated the development of a variety of plume tracking algorithms, the majority of which work in restricted two-dimensional scenarios. In this paper, we introduce a distributed algorithm for 3-D plume tracking using a system of ground and aerial robots in formation. We propose an algorithm that takes advantage of spatially distributed measurements to track the plume in 3-D and lead the robots to the source by integrating three behaviors - upwind movement, plume centering, and Laplacian feedback formation control. We evaluate this strategy in simulation and with real robots in a wind tunnel. For a source close to the ground, results show that a team of robots running our algorithm reaches the source with low lateral error while also tracing the horizontal and vertical plume shape.

关键词： Robot sensing systems Robot kinematics Laplace equations Tracking Unmanned aerial vehicles Chemicals Manipulator sensing systems Robot kinematics Laplace's equation Position measurement plume plumes tracking Unmanned Aerial Vehicle chemical compounds computer algorithms Robot vehicle drone honey bees Three Dimensions plume shape

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