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Corrections to "Efficient Adaptive Turbo Equalization for Multiple-Input–Multiple-Output underwater Acoustic Communications" [W. Duan, J. Tao, and Y. Rosa Zheng, IEEE J. Ocean. Eng ., 2017, DOI: 10.1109/JOE.2017.2707285]

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IEEE Journal of Oceanic Engineering 2017年第3期42卷 752-752页

作者： W. Duan J. Tao Y. R. Zheng Qualcomm Technologies Inc. San Diego CA USA Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO USA Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University Nanjing China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China

Equation In [1], (6) of the above named work is corrected.

关键词： MIMO Adaptive equalizers underwater communication underwater acoustics Least mean squares methods

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A simulator for swarm AUVs acoustic communication networking 11

A simulator for swarm AUVs acoustic communication networking

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11th ACM International Conference on underwater Networks and Systems, WUWNet 2016

作者： Li, Guannan Liu, Jun Wang, Xue Xu, Hongli Cui, Jun-Hong Shenyang Institute of Automation CAS University of Chinese Academy of Sciences No. 114 Nanta Street Shenhe District Shenyang China College of Computer Science and Technology Jilin University State Key Laboratory of Robotics Key Laboratory of System Control and Information Processing Ministry of Education of China Changchun China Shenyang Institute of Automation CAS Northeast University No. 114 Nanta Street Shenhe District Shenyang China Shenyang Institute of Automation CAS No. 114 Nanta Street Shenhe District Shenyang China College of Computer Science and Technology Jilin University Changchun China Underwater Sensor Network Lab. University of Connecticut StorrsCT06269 United States

ISBN: (纸本)9781450346375

This paper presents a simulator for swarm operations designed to verify algorithms for a swarm of autonomous underwater robots (AUVs), specifically for constructing an underwater communication network with AUVs carrying acoustic communication devices. This simulator consists of three nodes: a virtual vehicle node (VV), a virtual environment node (VE), and a visual showing node (VS). The modular design treats AUV models as a combination of virtual equipment. An expert acoustic communication simulator is embedded in this simulator, to simulate scenarios with dynamic acoustic communication nodes. The several simulations we have performed demonstrate that this simulator is easy to use and can be further improved.

关键词： Simulators

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F-CNN: An FPGA-based framework for training Convolutional Neural Networks

F-CNN: An FPGA-based framework for training Convolutional Ne...

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International Conference on Application Specific Systems (ASAP), Architectures and Processors

作者： Wenlai Zhao Haohuan Fu Wayne Luk Teng Yu Shaojun Wang Bo Feng Yuchun Ma Guangwen Yang Ministry of Education Key Laboratory for Earth System Modeling and Center for Earth System Science Tsinghua University China Tsinghua National Laboratory for Information Science and Technology China Department of Computing Imperial college London UK Department of Automatic Test and Control Harbin Institute of Technology China Department of Computer Science and Technology Tsinghua University China

ISBN: (纸本)9781509015047

This paper presents a novel reconfigurable framework for training Convolutional Neural Networks (CNNs). The proposed framework is based on reconfiguring a streaming datapath at runtime to cover the training cycle for the various layers in a CNN. The streaming datapath can support various parameterized modules which can be customized to produce implementations with different trade-offs in performance and resource usage. The modules follow the same input and output data layout, simplifying configuration scheduling. For different layers, instances of the modules contain different computation kernels in parallel, which can be customized with different layer configurations and data precision. The associated models on performance, resource and bandwidth can be used in deriving parameters for the datapath to guide the analysis of design trade-offs to meet application requirements or platform constraints. They enable estimation of the implementation specifications given different layer configurations, to maximize performance under the constraints on bandwidth and hardware resources. Experimental results indicate that the proposed module design targeting Maxeler technology can achieve a performance of 62.06 GFLOPS for 32-bit floating-point arithmetic, outperforming existing accelerators. Further evaluation based on training LeNet-5 shows that the proposed framework achieves about 4 times faster than CPU implementation of Caffe and about 7.5 times more energy efficient than the GPU implementation of Caffe.

关键词： Training Field programmable gate arrays Convolution Computational modeling Bandwidth Neural networks Runtime

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Rejection Of Direct Blast Interference Based on Vector Sensor adaptive Array Processing

Rejection Of Direct Blast Interference Based on Vector Senso...

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2015 International Power,Electronics and Materials Engineering Conference(IPEMEC 2015)

作者： Yunfei Chen Bing Jia Zhenshan Wang Feng Gao Sheng Li Guijuan Li Department of Ship Engineering Dalian University of Technology Science and Technology on Underwater Test and Control Laboratory

ISBN: (纸本)9781510806474

In bistatic acoustic scattering wave testing,there will be strong direct blast interference,An algorithm based on vector sensor adaptive signal processing that rejecting of direct blast interference in bistatic sonar has been studied,through computer simulation the effectiveness of this algorithm was *** test results show that when the space angle of interference and signal greater than 5 deg,the object scattering signal can be effectively estimated with six elements of vector sensor array

关键词： Direct Blast Interference Rejection Vector Sensor Adaptive Array Processing

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Sparse Least Squares Support Vector Machine with L_0-norm in Primal Space

Sparse Least Squares Support Vector Machine with L_0-norm in...

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IEEE International Conference on Information and Automation

作者： Qi Li Xiaohang Li Wei Ba School of Control Science and Engineering Dalian University of Technology The Key Laboratory for Underwater Scientific Test and Control Technology Dalian Scientific Test and Control Technology Institute

ISBN: (纸本)9781467391054

Least squares support vector machine (LS-SVM) has been successfully applied in many classification and regression tasks. The main drawback of the LS-SVM algorithm is the lack of sparseness. Combing the primal least squares twin support vector machine (LS-TSVM) and the sparse LS-SVM with L_0-norm minimization, a new sparse least squares support vector regression algorithm with L_0-norm in primal space(L_0-PLSSVR) is proposed in this paper. Experiments on the artificial dataset illustrate that the novel L_0-PLSSVR algorithm achieves better sparseness and generalization performance than the SVM and LS-SVM algorithm.

关键词： Sparseness Support Vector Machine Primal Space L_0-norm

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A Feature Information Extraction Method Based on Wavelet Packet Transform with Fuzzy Threshold

A Feature Information Extraction Method Based on Wavelet Pac...

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IEEE International Conference on Information and Automation

作者： Wei Ba Jiasheng Qu Zhimin Zhou Qi Li The Key Laboratory for Underwater Scientific Test and Control Technology Dalian Scientific Test and Control Technology Institute School of Control Science and Engineering Dalian University of Technology

ISBN: (纸本)9781467391054

When the wavelet packet is used to extract signal, the result is greatly affected by the coefficient quantization threshold. It is difficult for the threshold to reflect the current state of the signal accurately, which leads to the failure of signal extraction. A novel method of extracting signal based on fuzzy threshold for wavelet packet is proposed in this paper. The wavelet packet decomposition coefficient is quantified by fuzzy threshold method. The concept of the maximum value of noise to signal ratio is given to characterize the signal's strength compared to the noise in the simulation experiment. The frequency distribution probability is computed. The maximum value of noise to signal ratio and the frequency distribution probability are used as fuzzy input. To make the computing of fuzzy threshold conveniently, the fuzzy output is set by fixed value. The simulation results show that the method can meet the needs of different frequency signals, compared to conventional filtering and matched filtering, the novel method can inhibit the influence of the noise on the signal effectively, enhance the signal extraction ability and improve the detection distance.

关键词： Wavelet packet coefficients Wavelet packet reconstruction Fuzzy threshold Signal extracting

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Research on High-speed Object Detection Using a Planar Capacitive Sensor

Research on High-speed Object Detection Using a Planar Capac...

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2015 3rd International Conference on Machinery,Materials and Information technology Applications(ICMMITA 2015)

作者： Sanmin Shen Yong Ye Jiahao Deng National Defence Science and Technology Key Laboratory of Mechatronic Engineering and Control Beijing Institute of Technology National Key Laboratory of Science and Technology on Electronic Test and Measurement North University of China

A new method of high-speed object detection using planar capacitive sensor was presented. The planar capacitive consists of two electrodes. A sine signal was applied on one electrode to form a quasi-electrostatic field and another electrode was use to detect the object signal. The voltage of the detecting electrode is changed when an object approached to the planar capacitive. The detection model of the planar capacitive sensor was established. The relationship between the rendezvous distance and the voltage variation was deduced. The increase of the electrode diameter and the decrease of the electrodes space contributed to the improvement of the capacitive sensor's sensitivity. The experimental results showed that the planar capacitive sensor could achieve short range detection for high-speed object.

关键词： High-speed object detection Planar capacitive sensor Quasi-electrostatic field

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L2 Gain-Based Guidance Law with Acceleration Saturation

L2 Gain-Based Guidance Law with Acceleration Saturation

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The Society of Instrument and control Engineers Annual Conference 2015

作者： Kezi Meng Di Zhou Runle Du Department of Control Science and Engineering Harbin Institute of Technology National Key Laboratory of Science and Technology on Test Physics&Numerical Mathematics

This paper focuses on the problem of designing a 2L, gain-scheduling state-feedback guidance law with acceleration saturation based on linear matrix inequality(LMI) approach. The planar target-missile engagement is described in a polar coordinate system and the target acceleration is viewed as unpredictable disturbance. Saturated state-feedback is placed into the convex hull of a group of linear feedbacks. Furthermore,2L gain guidance problem is formulated and solved as an optimization problem with parameter-dependent LMI constraints which are then converted into a finite number of LMIs to facilitate the computation. Finally, simulation results demonstrate that the proposed guidance law copes with acceleration saturation effectively and obtains excellent guidance performance in terms of miss distance.

关键词： L2 gain guidance law acceleration saturation LPV system linear matrix inequality(LMI)

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Reflections on selection about ship seismic sensor

Reflections on selection about ship seismic sensor

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2014 International Conference on Manufacturing technology and Electronics Applications, ICMTEA 2014

作者： Cui, Pei Bai, Chun Zhi Science and Technology on Underwater Test and Control Laboratory Dalian China Dalian Scientific Test and Control Technology Institute Dalian China

ISBN: (纸本)9783038353287

In the special marine environmental conditions, there are certain advantages of ship seismic wave relative to underwater acoustic signal. However, due to the poor performance of seismic wave sensor, it is difficult to effectively detect seismic signal. From the signal characteristics of ship seismic wave, we can see that the ship seismic wave signal is better than underwater acoustic signal through comparative analysis in some special environment. In the low frequency band of DC-20Hz, the energy of the ship seismic is stronger and the line spectrum is more obvious. It briefly explains the mathematical model of ocean bottom seismometers receiving ship seismic wave information based on coupling theory. Finally, this paper focuses on many factors need to be considered in the selection of seismic wave sensor from the structure, type and performance of sensor. In view of different functionality of sensor types, it is suggested to use acceleration sensor to detect the ship seismic wave signal. © (2014) Trans Tech Publications, Switzerland.

关键词： Seismic waves

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Software design for theory analysis of underwater electromagnetic field in shallow sea environment

Software design for theory analysis of underwater electromag...

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2014 International Conference on Applied Sciences, Engineering and technology, ICASET 2014

作者： Cui, Pei Wu, Liang Jiang, Kai Na Science and Technology on Underwater Test and Control Laboratory Dalian 116013 China Dalian Scientific Test and Control Technology Institute Dalian 116013 China

ISBN: (纸本)9783038351849

The driving sources of the marine environment underwater electromagnetic field are complicated, the environmental parameters working on field source amplitude are numerous. The paper filters out the main respective factor through comparative analysis, on the basis of which composes theoretical analysis software of electromagnetic field underwater and the main environmental factors. The result shows that it is easy to get the variations of field source amplitude and main environmental parameters by setting the main environmental parameter values and field source forms. © (2014) Trans Tech Publications, Switzerland.

关键词： Software design

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