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Curved Target Echo Modeling and Distributed SAR Imaging

Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of technology 2019年 39卷 178-183页

作者： Fan, Yu-Jie Chen, Xin-Liang Ding, Ze-Gang Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

It is hard to obtain the complete image of curved target in the SAR image. So the quality of SAR image is degraded, because only partial features of the curved target can be reflected. In order to solve this problem, the parametric modeling of the curved target is researched. The corresponding relationship between the parameters and the scattering characteristics of curve target is studied to analyze the image incomplete reason from the echo domain. Based on the distributed SAR observation, the parameters of the curve target are estimated according to the discontinuous curve imaging results. Then the continuous image of the target is reconstructed. Finally, the simulation results demonstrate the improvement of curve target imaging quality. © 2019, Editorial Department of Transaction of Beijing Institute of technology. All right reserved.

关键词： Synthetic aperture radar

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Industrial Air Pollution Prediction Using Deep Neural Network 1

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13th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2018

作者： Pengfei, Yu Juanjuan, He Xiaoming, Liu Kai, Zhang School of Computer Science Wuhan University of Science and Technology Wuhan430081 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China

ISBN: (数字)9789811328268

ISBN: (纸本)9789811328251

In this paper, a deep neural network model is proposed to predict industrial air pollution, such as PM2.5 and PM10. The deep neural network model contains 9 hidden layers, each layer contains 45 neurons. The output of the hidden layer neurons is calculated using the ReLU activation function, which can effectively reduce the gradient elimination effect of the deep neural network. Twelve air pollutant indicators from industrial factories are collected as the input data, such as CO, NO2, O3, and SO2. About 180,000 real industrial air pollution data from Wuhan City are used to train and test the DNN model. Furthermore, the performance of our approach is compared with the SVM and Artificial neural network methods, and the comparison result shows that our algorithm is accurate and competitive with higher prediction accuracy and generalization ability. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Deep neural networks

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Simulation and Analysis of the Impacts of Anisotropic Ionospheric Scintallition on Geosynchronous Synthetic Aperture Radar

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Journal of Beijing Institute of technology 2017年第1期26卷 115-120页

作者： Yinhui Xu Xichao Dong Cheng Hu Yuanhao Li School of Information and Electronics Beijing Institute of Technology Beijing 100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing 100081 China

The impacts of ionospheric scintillation on geosynchronous synthetic aperture radar（GEO SAR）focusing is studied based on the multiple phase screen（MPS）*** power spectrum density of electron irregularities is first modified according to the ionospheric *** propagation wave equations in random medium are deduced in the case of oblique incidence in GEO *** amplitude and phase errors induced by the random electron fluctuations are generated by the iterated MPS simulations and are superimposed into the GEO SAR *** the following imaging and evaluation,the effects of the anisotropic ionospheric scintallition on GEO SAR are *** last,the optimized integration time under different ionospheric scintillation conditions are recommended through Monte Carlo *** is concluded that,greater ionospheric fluctuations and longer integration time will result in more severe deterioration,even no focus at all in the worst case.

关键词： anisotropy focusing geosynchronous synthetic aperture radar （GEO SAR） ionospher-ic scintillation multiple phase screen

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Design of Distributed Multi-Parameter Measurement Control System Based On CAN Bus 3

Design of Distributed Multi-Parameter Measurement Control Sy...

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2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering, IMMAEE 2018

作者： Guo, Hong Hu, Wei College of Computer Science and Technology Wuhan University of Science and Technology Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan430065 China

This paper introduces a multi-parameter distributed measurement control system based on CAN bus network and uses C8051F040 MCU as measurement control node, and corresponding hardware and software design to realize simultaneous detection of multiple measurement nodes. This paper described the overall structure of the system, introduced the hardware design and system software design of the data acquisition and control processing module based on C8051F040 microcontroller, and verified the correctness and feasibility of the system design by experimental tests. © 2018 Published under licence by IOP Publishing Ltd.

关键词： Software design

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An Efficient Genetic Algorithm for Solving Constraint Shortest Path Problem Through Specified Vertices 1

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13th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2018

作者： Kai, Zhang Yunfeng, Shao Zhaozong, Zhang Wei, Hu School of Computer Science Wuhan University of Science and Technology Wuhan430081 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan430081 China

ISBN: (数字)9789811328268

ISBN: (纸本)9789811328251

Finding a constraint shortest path which passes through a set of specified vertices is very important for many research areas, such as intelligent transportation systems, emergency rescue, and military planning. In this paper, we propose an efficient genetic algorithm for solving the constraint shortest path problem. Firstly, the Dijkstra algorithm is used to calculate the shortest distance between any two specified vertices. The optimal solution change from the original problem into the Hamilton path problem with the specified vertices. Because the number of specified vertices is much less than the number of vertices for the whole road network, the search space would be reduced exponentially. Secondly, the genetic algorithm is adopted to search for the optimal solution of the Hamilton path problem. Thirdly our algorithm should detect and eliminate the cycle path. Finally, the performance of our algorithm is evaluated by some real-life city road networks and some randomly generated road networks. The computational results show that our algorithm can find the constraint shortest path efficiently and effectively. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Genetic algorithms

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Interference removal for radar/communication Co-existence: The random scattering case

arXiv

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arXiv 2019年

作者： Li, Yinchuan Le Zheng Lops, Marco Wang, Xiaodong School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China Electrical Engineering Department Columbia University New York10027 United States Department of Electrical Engineering and Information Technologies Università di Napoli"Federico II" Via Claudio 21 NaplesI-80125 Italy

In this paper we consider an un-cooperative spectrum sharing scenario, wherein a radar system is to be overlaid to a pre-existing wireless communication system. Given the order of magnitude of the transmitted powers in play, we focus on the issue of interference mitigation at the communication receiver. We explicitly account for the reverberation produced by the (typically high-power) radar transmitter whose signal hits scattering centers (whether targets or clutter) producing interference onto the communication receiver, which is assumed to operate in an un-synchronized and un-coordinated scenario. We first show that receiver design amounts to solving a non-convex problem of joint interference removal and data demodulation: next, we introduce two algorithms, both exploiting sparsity of a proper representation of the interference and of the vector containing the errors of the data block. The first algorithm is basically a relaxed constrained Atomic Norm minimization, while the latter relies on a two-stage processing structure and is based on alternating minimization. The merits of these algorithms are demonstrated through extensive simulations: interestingly, the two-stage alternating minimization algorithm turns out to achieve satisfactory performance with moderate computational complexity. Copyright © 2019, The Authors. All rights reserved.

关键词： Convolution

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A General Gray Code Quantized Method of Binary Feature Descriptors for Fast and Efficient keypoint Matching

A General Gray Code Quantized Method of Binary Feature Descr...

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International Conference on Intelligent Autonomous Systems (ICoIAS)

作者： Yunhan Lin Yalan Sun Huasong Min College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial Systems Wuhan China Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology Wuhan China

In this paper, a general Gray code quantized method of binary feature descriptors is proposed for fast and efficient keypoint matching on 3D point clouds. In our method, it includes 2 variable L and N. L is rule variable which can be used to set the encoding group length according to the feature of the real-valued descriptor, and N is bits variable which can be used to set the number of Gray code bits according to the actual system requirements. Be different from the exist method, such as B-SHOT, our proposed method has the advantages of reasonable and flexible. As an example, our method is applied on the feature descriptor SHOT and tested in a standard benchmark dataset, different variable combinations of L and N are tested in the Gray code quantized processes, the best combination of L and N is dubbed as GRAY-SHOT through performance comparison. At last, GRAY-SHOT is compared with the state-of-the-art binary 3D feature descriptor B-SHOT, experimental evaluation result shows that GRAY-SHOT offers better keypoint matching performances to B-SHOT on a standard benchmark dataset with a slight more memory footprint and time consumption.

关键词： Three-dimensional displays Reflective binary codes Encoding Histograms Feature extraction Standards Benchmark testing

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Lightweight Protection of User Identity Privacy Based on Zero-knowledge Proof

Lightweight Protection of User Identity Privacy Based on Zer...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Zhengwei Ren Xianye Zha Kai Zhang Jing Liu Heng Zhao College of Computer Science and Technology Wuhan University of Science and Technology and Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Wuhan Digital and Engineering Institute Wuhan China

A number of solutions have been proposed to tackle the user privacy-preserving issue. Most of existing schemes, however, focus on methodology and techniques from the perspective of data processing. In this paper, we propose a lightweight privacy-preserving scheme for user identity from the perspective of data user and applied cryptography. The basic idea is to break the association relationships between User identity and his behaviors and ensure that User can access data or services as usual while the real identity will not be revealed. To this end, an interactive zero-knowledge proof protocol of identity is executed between CSP and User. Besides, a trusted third-party is introduced to manage user information, help CSP to validate User identity and establish secure channel between CSP and User via random shared key. After passing identity validation, User can log into cloud platform as usual without changing existing business process using random temporary account and password generated by CSP and sent to User by the secure channel which can further obscure the association relationships between identity and behaviors. Formal security analysis and theoretic and experimental evaluations are conducted, showing that the proposal is efficient and practical.

关键词： Proposals Data privacy Privacy Protocols Password Authentication

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SAR doppler center frequency parameters estimation parallel optimization based on multi-core ARM NEON technology

SAR doppler center frequency parameters estimation parallel ...

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2017 International Conference on Radar Systems, Radar 2017

作者： Xing, Shiwen Xie, Yizhuang Chen, Liang Li, Bingyi Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781785615153

Obtaining Doppler center frequency parameters estimation (DCFPE) with low time consumption is a great challenge in synthetic aperture radar (SAR) imaging system. In order to get DCFPE in real time, this paper adopts three parallel acceleration implementation methods-SIMD parallelism, multi-issue parallelism and multi-core parallelism-according to the characteristics of DCFPE algorithm. To verify the efficiency of the proposed methods, the paper builds the ARM embedded Linux system on multi-core ARM Cortex-A9 platform and uses assembly programming language to implement DCFPE algorithm in a 16384*16384 64-bit SAR imaging process. The experiment shows that DCFPE can be accelerated by more than 50% on average with an acceptable accuracy of the result. © 2017 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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Word length optimization for sliding spotlight SAR imaging

Word length optimization for sliding spotlight SAR imaging

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2017 International Conference on Radar Systems, Radar 2017

作者： Wei, Chunpeng Yang, Chen Xie, Yizhuang Chen, He Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781785615153

With the development of the high-resolution synthetic aperture radar (SAR) technology, the spaceborne SAR has become a hot research topic. However there is a contradiction between hardware resource occupation and imaging accuracy in hardware implementation. realizing the algorithm with the fixed-point instead of the floating-point is an effective solution for this problem. In this paper we propose a method in which the fixed-point is used for all FFT operations rather than entire operations of algorithm. We simulate the point target and area target. We evaluate the image quality to obtain the relationship between the word length and SAR imaging assessment indexes. The results show that the 13-bit word length can make a good balance between hardware resource occupation and sliding spotlight SAR imaging accuracy in the case of 16384×8192 imaging granularity and 1m resolution. © 2017 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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