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Achievable Sum-Rate Maximizing AF Relay Beamforming Scheme in Two-Way Relay Channels

Achievable Sum-Rate Maximizing AF Relay Beamforming Scheme i...

引用

IEEE International conference on Communications Workshops, ICC

作者： N. Lee H. J. Yang J. Chun Scientific Computing Laboratory School of Electrical Engineering and Computer Science Korea Advanced Institute of Science and Technology Daejeon South Korea

This paper deals with design of a amplify-and- forward (AF) relay beamforming matrix in a two-way relay protocol when a relay node has multiple antennas. Two-way relaying is a promising protocol since it provides enhanced spectral efficiency compared to one-way relaying protocols. In this paper we derive the achievable sum-rate upper bound of AF beamforming scheme and propose the achievable sum-rate maximizing relay beamforming scheme when the destination and the relay node have perfect knowledge of the channel state information (CSI) for forward and backward channels. The solution of the sum-rate maximizing scheme is obtained by using the proposed algorithm, general power iterative algorithm, which solves a global optimization problem efficiently. Comparing with one-way relaying protocol, the improved sum-rate performance of the proposed scheme is verified by numerical simulation.

关键词： Relays Array signal processing Power system relaying Protocols Peer to peer computing Iterative algorithms Wireless networks Decoding Communications Society conferences

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Inverse kinematics for robot manipulators based on incremental unit computation method

Inverse kinematics for robot manipulators based on increment...

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Proceedings of 1993 IEEE/RSJ International conference on Intelligent Robots and Systems (IROS '93)

作者： S.-W. Park J.-H. Oh New Automotive Electronics Development Team Hyundai Electronics Industries Company Limited Incheon Gyeonggi South Korea Department of Precision Engineering and Mechatronics Korea Advanced Institute of Science and Technology Taejon South Korea

This paper adopts an incremental unit computation method to obtain the inverse kinematics of a three-axis articulated robot. This method starts by defining incremental units in joint and Cartesian spaces, which represent the position resolutions in each space. With this approach the calculation of the inverse Jacobian matrix can be realized through a simple combinational logic gate. Furthermore, the incremental direct kinematics can be solved by using a digital differential analyzer integrator. The hardware architecture to implement the algorithm is also described. Through applying the hardware realized by an erasable programmable logic device to the straight-line trajectory of an experimental robot, the end effector's maximum speed of 12.6 m/s has been obtained.

关键词： Manipulators Robot kinematics signal processing algorithms Service robots Hardware Space technology Orbital robotics Robot sensing systems Jacobian matrices Floating-point arithmetic

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advanced control of buck converter

Advanced control of buck converter

引用

IEEE International conference on Industrial Technology (ICIT)

作者： S. Uran M. Milanovic Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia

The DC-DC conversion principle is a part of many electronics devices and is a subject of many research projects which are looking for the best control. In the search for the best control of a buck converter control line regulation should be considered in addition to load regulation. With ordinary PI controllers the dynamic response of the buck converter output voltage caused by load change is slow and exhibits large dynamic deviations from the desired steady state output value. With state space controller the dynamic response of the buck converter exhibits fast load response with small dynamic deviations from the desired steady state output value. Unfortunately dynamic response of state space controller to input voltage step change (line regulation) does not meet desired performance. It exhibits steady state error. Therefore an approach with outer PI controller in addition to the internal state space controller and disturbance observer based control approach have been considered.

关键词： Buck converters State-space methods Pulse width modulation Voltage control Steady-state Switches Nonlinear control systems Control systems signal processing algorithms Filters

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EMI Suppression Techniques for Broadcast Reception in Electric Vehicles

EMI Suppression Techniques for Broadcast Reception in Electr...

引用

IEEE Vehicular Technology conference

作者： Daniel Sonner Thomas Müller Matthias Düll Robert Weigel Group Research & Advanced Engineering Telematics Daimler AG Ulm Germany Institute of Communications Engineering University of Ulm Germany Institute for Electronics Engineering University of Erlangen-Nuremberg Germany

ISBN: (纸本)9781467363365

Electric driven vehicles become more and more important in today's mobile world. In addition to all its benefits, this technology has some drawbacks. Due to the electrical drive system, we measure higher voltages and higher currents. This is the reason why we get more electromagnetic interference (EMI) in the electric vehicle (EV). The highest requirements regarding EMI result from broadcast reception systems. The conventional approach of noise suppression with passive, active or hybrid filter structures and shielding increases the costs and the weight of the vehicle. In this paper a concept is presented, where the expensive shielding is replaced or supported by digital signal processing in the tuner. The active noise suppression can be supported by additional field probes. Therefore, the tuner can receive more information about the interferers. This principle works like the well-known "Active Noise Cancelling" (ANC). The algorithms have to be developed individually for each broadcast standard and are derived in this presentation for FM, AM and DVB-T. Simulation results of the new approach demonstrate dramatic performance improvement in an EMI burdened car environment.

关键词： voltages higher currents broadcast standard Electric vehicles VOLTAGE broadcasting standards high current Noise suppression Electromagnetic interference broadcast reception European Monetary Institute drive train vehicle EMI suppression Shield Tuner Device Component Digital signal processing

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Incremental Common Spatial Pattern algorithm for BCI

Incremental Common Spatial Pattern algorithm for BCI

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International Joint conference on Neural Networks (IJCNN)

作者： Qibin Zhao Liqing Zhang Andrzej Cichocki Jie Li Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai China Lab for Advanced Brain Signal Processing RIKEN Brain Science Institute Japan

A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. An effective BCI system should be adaptive to and robust against the dynamic variations in brain signals. One solution to it is to adapt the model parameters of BCI system online. However, CSP is poor at adaptability since it is a batch type algorithm. To overcome this, in this paper, we propose the Incremental Common Spatial Pattern (ICSP) algorithm which performs the adaptive feature extraction on-line. This method allows us to perform the online adjustment of spatial filter. This procedure helps the BCI system robust to possible non-stationarity of the EEG data. We test our method to data from BCI motor imagery experiments, and the results demonstrate the good performance of adaptation of the proposed algorithm.

关键词： Electroencephalography Feature extraction Eigenvalues and eigenfunctions Electrodes Band pass filters Covariance matrix Classification algorithms

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A hardware/software partitioning algorithm for SIMD processor cores 03

A hardware/software partitioning algorithm for SIMD processo...

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Asia and South Pacific Design Automation conference

作者： K. Tachikake N. Togawa Y. Miyaoka Jinku Choi M. Yanagisawa T. Ohtsuki Department of Electronics Information and Communication Engineering Waseda University Japan Department of Information and Media Sciences University of Kitakyushu Japan Advanced Research Institute for Science and Engineering Waseda University Shinjuku Tokyo Japan

ISBN: (纸本)9780780376601

This paper proposes a new hardware/software partitioning algorithm for processor cores with SIMD instructions. Given a compiled assembly code including SIMD instructions, a timing constraint of execution time, and available hardware units, the proposed algorithm synthesizes an area-optimized processor core with a new assembly code. Firstly, we assume an initial processor core on which an input assembly code can run with the shortest execution time. Secondly we reduce a hardware unit added to a processor core one by one while the timing constraint is satisfied. At the same time, we update the assembly code so that it can run on the new processor configuration. By repeating this process, we finally obtain a processor core architecture with small area under the given timing constraint. We expect that vie can obtain a processor core which has appropriate SIMD functional units for running the input application program. The promising experimental results are also shown.

关键词： Hardware Partitioning algorithms Software algorithms Image processing Application software Assembly Timing Pixel Software systems signal synthesis

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Traffic signal recognition using YOLO, a comparative analysis

Traffic signal recognition using YOLO, a comparative analysi...

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International conference on Image Information processing

作者： Ashish Kumar Dogra Vipal Sharma Harsh Sohal Computer Science Engineering/IT JUIT Solan India Electronic and communication Engineering JUIT Solan India

ISBN: (数字)9798350371406

ISBN: (纸本)9798350371413

The identification of traffic signs is a major challenge for intelligent automobiles. Recognition of traffic signs gives useful data, such as alerts and directions, for cooperative intelligent transport systems (CITS) and advanced driver assistance systems (ADAS). In realistic autonomous driving scenarios, traffic signs can be challenging to identify even with a very precise real-time method. As a result, drivers are calling for more secure and trustworthy traffic sign recognition technology, and current automakers are also working on developing one. All images captured by the actual driving car are blurry and distorted. The study of traffic sign recognition systems faces several challenges due to external, unmanageable components, such as the impact of unfavorable conditions, and the practical use is still in its infancy. This study provides the YOLO model for traffic sign identification as a solution for the issues mentioned above. The first step is to generally arrange the traffic signs into various categories. Next, the prepossessing process then follows the characteristics of the different kinds of signs. The improved convolution neural network receives the altered images and breaks down the categories into more specific subcategories. The YOLOv3-tiny and YOLOv4-tiny algorithms are examined by using the CCTSDB dataset and the Tsinghua-Tecent 100k(TTK100) dataset and YOLOv2,YOLOv3 andYOLOv5 are examined using the CCTSDB and HRRSD(High Resolution Remote Sensing Detection) datasets depending on the various categories. The findings indicate that YOLOv4-tiny algorithm achieves good recognition performance on both TTK100 and CCTSDB datasets and YOLOv5 on both CCTSDB and HRRSD dataset are most suited for use in traffic sign recognition systems and has a high classification accuracy.

关键词： YOLO Image resolution Neural networks Information processing Real-time systems Classification algorithms Automobiles

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Acceleration of PET Monte Carlo simulation using the graphics hardware ray-tracing engine

Acceleration of PET Monte Carlo simulation using the graphic...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Zhiguang Wang Peter. D. Olcott Craig S. Levin Department of Radiology Stanford University Medical School Stanford CA USA

GRAY (High Energy Photon Ray Tracer) is a Monte-Carlo ray-driven high energy photon transport engine for PET and SPECT applications that supports complex mesh based primitives for source distributions, phantom shapes, and detector geometries. Ray tracing is a technique used in computer graphics to render scenes with realistic light properties. We adapted this technique to accelerate solving the intersection test problems in our simulator. Monte Carlo simulations study the performance of PET systems, test signal processing algorithms, guide the design of advanced PET systems, data correction schemes, and image reconstruction algorithms. GPU acceleration of these simulations makes these studies more practical while avoiding the need of a large, expensive computer cluster. Recent improvements in the computing power and programmability of graphics processing units (GPUs) have enabled the possibility of using GPUs for the acceleration of scientific applications, including time-consuming simulations in physics. This paper describes the acceleration of GRAY using NVIDIA OptiX ray tracing engine on GPUs for runtime performance and the implementation of secondary physical processes validated against GEANT for enhancing GRAY's accuracy. We describe the GPU-based computation and how it is mapped onto the many parallel computational units now available on the NVIDIA GTX 200 series GPUs. For a brain PET acquisition benchmark, a speedup of 5.2X; for a GATE PET acquisition benchmark, a speedup of 15.88X were achieved on a single GTX285 GPU over the CPU GRAY and the GATE simulation toolkit executed on an Intel(R) Core™2 Duo T6600@2.40GHz processor with equivalent accuracy.

关键词： Photonics Graphics processing unit Ray tracing Positron emission tomography Engines Acceleration Geometry

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OFDM adaptive digital predistortion method combines RLS and LMS algorithm

OFDM adaptive digital predistortion method combines RLS and ...

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IEEE conference on Industrial Electronics and Applications (ICIEA)

作者： Wei Jian Chongxiu Yu Jianxin Wang Jianguo Yu Lin Wang Key Laboratory of Optical Communication and Light wave Technology (Ministry of Education) Beijing University of Posts and Telecommunications Beijing China State Key Laboratory of Optical Communication Technologies and Networks Wuhan China Key-Laboratory of All-Optical networks & Advanced Communications Networks (Ministry of Education) Beijing Jiaotong University Beijing China

ISBN: (纸本)9781424427994

A novel adaptive digital predistortion method combines RLS (Recursive Least-Square) and LMS (Least Mean-Square) with Volterra kernel is proposed to compensate the nonlinear and memorial distortion of OFDM power amplifier. For RLS could induce unexpected modulation mistakes in small error signal, it is chosen to estimate coefficients in big error signals to ensure the high convergent speed. As soon as the value of error signal is less than defined error threshold, adaptive algorithm is changed from RLS to LMS automatically. LMS that has a stable convergence in small error signals can update coefficients in a smooth convergent process. This particular characteristic is also beneficial to hardware implementation to trace the time variability of power amplifier and compensate memorial nonlinear effects. Furthermore, the constellation distortion and spectrum characteristics of 16-QAM modulated OFDM signals with different predistortion algorithms are analyzed in detail by the simulation process. Compared with conventional single RLS or LMS predistortion algorithm, the results show that the performance of digital adaptive predistortion system could be optimized with both high speed and stability by this new method.

关键词： Predistortion Resonance light scattering Least squares approximation Nonlinear distortion Power amplifiers OFDM modulation signal processing Kernel Adaptive algorithm Convergence

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Intermittent blood pressure prediction via multiscale entropy and ensemble artificial neural networks

Intermittent blood pressure prediction via multiscale entrop...

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IEEE EMBS conference on Biomedical Engineering and Sciences (IECBES)

作者： Muammar Sadrawi Jiann-Shing Shieh Shou Zen Fan Chien Hung Lin Koichi Haraikawa Jen Chien Chien Maysam F. Abbod Dept. Mechanical Engineering and Innovation Center for Big Data and Digital Convergence Yuan Ze University Chung-Li Taiwan Department of Anesthesiology College of Medicine National Taiwan University Taipei Taiwan Health and Beauty Research Center Cal-Comp Inc New Taipei City Taiwan Health and Beauty Research Center Kinpo Electronics Inc New Taipei City Taiwan Dept Electronic and Computer Engineering Brunel University London Uxbridge UK

ISBN: (纸本)9781467377928

This study evaluates the correlation between the intermittent blood pressure (BP) and the photoplethysmography (PPG). This study of a total of twenty-five cases is started by the partitioning of the PPG signal into a 5-minute segment. The segmented PPG is filtered by ensemble empirical mode decomposition (EEMD). The feature extraction method, multiscale entropy (MSE) is utilized for the purified signal to achieve some information. The seventy-five scale of MSE is taken into the input of the artificial neural network (ANN) modeling. The outputs of this system are the intermittent diastolic and systolic blood pressure. Originally, thousand models are created. The best model is chosen for the best single ANN model. In advanced, the ensemble artificial neural network (EANN) model is initiated to observe the testing data. The result, compared to the best single ANN model, shows that the EANN model recognizes better the testing data by producing lower mean absolute error (MAE).

关键词： Artificial neural networks Entropy Blood pressure Data models Testing Empirical mode decomposition signal processing algorithms

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