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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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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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Design and Implementation of Campus Service System Platform Based on Big Data

Design and Implementation of Campus Service System Platform ...

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IEEE International Conference on Computational Science and Engineering, CSE

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

In recent years, major universities have attached great importance to digital information construction, but the survey found that there are still areas for improvement in the design of the content blocks that students are most concerned about, and the processing speed of database data needs to be optimized. Campus service system platform based on the big data studies the optimization method, and five optimization ideas are proposed. The first is schema optimization; the second is index optimization; the third is query performance optimization; the fourth is based on server optimization; the fifth is based on operating system optimization. Applying these optimization schemes, it is found that the speed of data processing is obviously improved, and the response time is shortened, which proves that the implementation of the system is feasible and the optimization effect is remarkable.

关键词： Optimization Indexes Big Data Query processing Servers Memory

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COMPREHENSIVE STRUCTURE VOTING DOCKED SHIP DETECTION FROM HIGH-RESOLUTION OPTICAL SATELLITE IMAGES BASED ON COMBINED MULTI-ORIENTATION SPARSE REPRESENTATION

COMPREHENSIVE STRUCTURE VOTING DOCKED SHIP DETECTION FROM HI...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Yin Zhuang He Chen Haotian Zhou Liang Chen Fukun Bi Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China School of Electronic Information Engineering North China University of Technology Beijing China

Inshore ship detection from high-resolution (HR) optical satellite images is a hot research field. However, HR ships multi-scale and multi-orientation characters and harbor scene various interferences affect docked ship detection performance. Therefore, we proposed a multi-orientations sparse dictionaries (MOSDs) algorithm combining with comprehensive structure voting (CSV) to address existed problem and achieve refined docked ship contour region proposal (RP). Moreover, the comparing experiments use a lot of Google Earth harbour images to demonstrate proposed method effectiveness and robustness of HR ships multi-scale and -orientation changing and various harbour background interferences of docked ship detection.

关键词： Marine vehicles Dictionaries Transforms Encoding Optical imaging Training Proposals

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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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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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A modified ISAR autofocus algorithm based on single eignvector

A modified ISAR autofocus algorithm based on single eignvect...

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2017 International Conference on Radar Systems, Radar 2017

作者： Cai, Jinjian Xu, Jia Sun, Yinghao Long, Teng Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781785615153

Phase autofocus is a key step of translational motion compensation (TMC) in inverse synthetic aperture radar (ISAR). In this paper, a modified phase autofocus algorithm is proposed for ISAR to improve the computational efficiency of single eigenvector based autofocusing method. Under the circumstance that a relatively prominent scatterer exists, it is found that the signal subspace can be obtained as an estimation of the phase error caused by target translational motion. In the proposed method, samplings in multiple pulses are used to construct the covariance matrix and obtain the signal subspace, which is equivalent to the existing method with samplings along multiple range bins. Finally, the results of real measured data are provided to demonstrate the effectiveness of the proposed method. © 2017 Institution of Engineering and technology. All rights reserved.

关键词： Computational efficiency

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Low sidelobe beamforming method based on linear constraint reconstruction for colo-cated MIMO radar

Low sidelobe beamforming method based on linear constraint r...

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2017 International Conference on Radar Systems, Radar 2017

作者： Xu, Feng Yang, Xiaopeng Sun, Yuze Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781785615153

Beam pattern synthesis is of great interest for colocated MIMO radar with larger aperture. Sever gating lobes and high sidelobe level would cause great performance loss when the transmitting array is sparse. In order to achieve a better beam pattern performance for colocated MIMO radar, a low sidelobe beamforming method based on linear constraint reconstruction is proposed. In this proposed method, beam pattern nulls are formed in the specified direction of grating lobes by using reconstructed linear constraints, which can work with low sidelobe window function. These constraints are proper eigenvectors of reconstructed covariance matrix. Comparing with conventional method, arbitrary low sidelobe weight is applied instead of quiescent weight, thus the beam pattern can obtain low sidelobe level while maintaining the ability of anti-jamming. Simulation results verify the efficiency of this proposed method in both uniform array and sparse array. © 2017 Institution of Engineering and technology. All rights reserved.

关键词： MIMO radar

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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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