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2016 IEEE International Conference on Signal processing, Communications and Computing, ICSPCC 2016

作者： Mengyu, Lu Jinghua, Wang Ye, Jin Key Laboratory of Embedded Real-time Information Processing Technology Beijing China China Academy of Space Technology Department of Overall Design Beijing China

ISBN: (纸本)9781509027088

This paper achieves the SAR geometric correction algorithm and makes improvements based on multi-core C6678 DSPs. To solve the insufficient real-time problem, this paper improves the geometric correction, and designs process software that can meet the real-time requirements, from the process flow, process algorithm and storage process aspects. This paper describes the multiple DPSs parallel process scheme and multi-core mapping tasks, and makes a comparison of the time-consuming before optimization and after. And after the optimization, the geometric correction's efficiency is two times of the original. After verification, the parallel process software designed in this paper can meet the real-time requirements of the project, and also has good stability. © 2016 IEEE.

关键词： Verification

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Linked Data Crowdsourcing Quality Assessment based on Domain Professionalism

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Journal of Physics: Conference Series 2019年第5期1187卷

作者： Lu Yang Li Huang Zhenzhen Liu School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province Wuhan 430065 China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content National Press and Publication Administration Beijing 100038 China

With the rapid development of Internet technology, crowdsourcing, as a flexible, effective and low-cost problem-solving method, has begun to receive more and more attention. The use of crowdsourcing to evaluate the quality of linked data has also become a research hotspot. This paper proposes the concept of Domain Specialization Test (DST), which uses domain professional testing tasks DSTs to evaluate the professionalism of workers, and combines the idea of Mini-batch Gradient Descent (MBGD) to improve the EM algorithm, and the MBEM algorithm is proposed to achieve efficient and accurate evaluation of task results. The experimental results show that the proposed method can screen out the appropriate workers for the linked data crowdsourcing task and improve the accuracy and iteration efficiency of the results.

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Emergency Event Matching using Hierarchical Blocking Method

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Journal of Physics: Conference Series 2019年第5期1187卷

作者： Chang Wen Yu Liu College of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province Wuhan 430065 China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content National Press and Publication Administration Beijing 100038 China

With the extensive application of the knowledge base (KB), how to complete it is a hot topic on Semantic Web. However, many problems go with the big data, and the event matching is one of these problems, which is finding out the entities referring to the same things in the real world and also the key point in the extending process. To enrich the emergency knowledge base (E-SKB) we constructed before, we need to filter out the news from several web pages and find the same news to avoid data redundancy. In this paper, we proposed a hierarchy blocking method to reduce the times of comparisons and narrow down the scope by extracting the news properties as the blocking keys. The method transforms the event matching problem into a clustering problem. Experimental results show that the proposed method is superior to the existing text clustering algorithm with high precision and less comparison times.

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A Novel Integrated Testing Platform Based on Open VPX

A Novel Integrated Testing Platform Based on Open VPX

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2nd information technology and Mechatronics Engineering Conference(ITOEC 2016)

作者： Fei Wang Shanqing Hu Xingming Li Jie Wang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology

With the development of high-speed and real-time signal processing systems toward modularization, generalization and reconstruction, a method of modular design has been proposed and accepted widely. However, the increasing module types and extending production scale make the module-test challenged and the test results of modules are dispersed, which make it difficult for collection and post-maintenance. Moreover, it's difficult to perform traversal test with so many module-combinations, and this consumes excess equipments and human resources. In this paper, we proposed a concept of integrated testing, and designed a integrated testing platform(ITP) based on the Open VPX architecture. The ITP can achieve intelligent identification and resources detection of the under-test single/multiple modules after startup, and with the users' manual configurations, the ITP can then perform the traversal test automatically. Besides, the ITP provides functions such as real-time fault alarm and the test report printing. The ITP has been applied in mass testing for an Open VPX-based high-performance processing module, with multiple VLSI(Very Large Scale Integrated) circuits integrated, such as TI TMS320C6678, Xilinx Virtex-6,etc, and greatly increases its efficiency and accuracy.

关键词： automatic test traversal test integration testing platform(ITP) signal processing system

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A New Algorithm of Plots Centroid for Radar Target

A New Algorithm of Plots Centroid for Radar Target

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International Congress on Image and Signal processing, BioMedical Engineering and Informatics

作者： HaiBo Liu Jinbing Li Peiyao Zhang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology

ISBN: (纸本)9781509037117

For the 2D radar system, in order to improve the performance of target plots, a new algorithm based on geometric center and amplitudes of measurements was proposed, aimed at that the traditional plots centroid algorithm does not use the amplitude information or over-uses it. The proposed algorithm can reduce the weights of the measurements which are far away from the geometric centre, so as to obtain mere accurate range and azimuth estimations even under the circumstances of strong false measurements. Simulations show that the proposed method works better than the traditional methods.

关键词： geometric center radar targets plots centroid

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Author Correction: Micro-Doppler measurement of insect wing-beat frequencies with W-band coherent radar

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Scientific reports 2018年第1期8卷 4050页

作者： Rui Wang Cheng Hu Xiaowei Fu Teng Long Tao Zeng School of Information and Electronics Beijing Institute of Technology Beijing 100081 China. Department of Electronic Engineering Tsinghua University Beijing 100084 China. School of Information and Electronics Beijing Institute of Technology Beijing 100081 China. hucheng.bit@***. State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant Protection Chinese Academe of Agricultural Sciences Beijing 100193 China. Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing 100081 China.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

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A novel subsidence monitoring technique based on space-surface bistatic differential interferometry using GNSS as transmitters

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Science China(information Sciences) 2015年第6期58卷 68-83页

作者： ZENG Tao ZHANG Tian TIAN WeiMing HU Cheng Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Laboratory School of Information and ElectronicsBeijing Institute of Technology

Synthetic Aperture Radar Differential Interferometry(DIn SAR) technique is an effective tool with large coverage and high spatial accuracy for subsidence monitoring. Nevertheless, the temporal resolution is usually poor so that rapid deformation cannot be measured due to the long revisit time of radar *** SAR Differential Interferometry technique using Global Navigation Satellite System(GNSS) as illuminator has a shorter revisit time, whereas the measurement accuracy is constrained by low signal power, narrow bandwidth and atmospheric delay error. To cope with these problems, in this paper, we propose a novel subsidence monitoring technique based on Space-Surface bistatic Differential Interferometry(SS-DI) with GNSS transmitters, where two stations consist of a reference one and a measurement one that are deployed on the ground. First, we applied a space differential processing between two stations to cancel identical errors such as tropospheric and ionospheric errors etc. Then we used a long time coherent integration to improve the signal noise ratio. Subsequently, we also utilized a time differential processing to construct double differential equations with respect to unknown deformation variables. Finally, we solved the equations to obtain a highly accurate estimation of three dimension deformation. Furthermore, an SS-DI experiment using Beidou-2 as transmitters was carried out to validate the proposed method, where a high accuracy(0.01 mm) device was utilized to simulate subsidence deformation. The experimental results reveal that the proposed method has better performance of spatial measurement accuracy of 0.53 mm compared with differential GPS method.

关键词： differential interferometry subsidence monitoring Beidou-2/Compass-2 space-surface bistatic radar differential GPS

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Modified Omega-K algorithm for ground-based FMCW SAR imaging

Modified Omega-K algorithm for ground-based FMCW SAR imaging

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International Conference on Signal processing Proceedings (ICSP)

作者： Shouchang Guo Xichao Dong Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology China

The combination of ground-based synthetic aperture radar (GB-SAR) and frequency-modulated continuous-wave (FMCW) technology produces a high-resolution remote sensing system that is superior in deformation measurement. However, conventional focusing algorithms should be modified for GB-SAR geometry and FMCW signals. In this paper, an accurate GB FMCW SAR signal model is constructed, and a modified Omega-K algorithm is proposed to achieve optimal imaging. The algorithm is validated by simulation results.

关键词： Azimuth Synthetic aperture radar Signal processing algorithms Focusing Geometry Algorithm design and analysis

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Impacts of ionospheric scintillation on geosynchronous SAR focusing: preliminary experiments and analysis

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Science China(information Sciences) 2015年第10期58卷 191-193页

作者： LI YuanHao HU Cheng DONG XiChao TIAN WeiMing LONG Teng Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology

Dear editor,Geosynchronous Synthetic Aperture Radar(GEO SAR)has significant potential when applied to hazard and disaster monitoring because of its short revisit time of approximately 24 h and its wide coverage of app... 详细信息

关键词： SAR Impacts of ionospheric scintillation on geosynchronous SAR focusing GEO PSLR Figure preliminary experiments and analysis than

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Research on Parameters Estimation and Suppression for C&I Jamming

Research on Parameters Estimation and Suppression for C&I Ja...

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CIE International Conference on Radar

作者： Chao Zhou FuQiang Shi QuanHua Liu Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

Chopping and Interleaving (C&I) jamming is a new technology to counter pulse compression radar. It can obtain partial processing gain and produce multiple false peaks, hence achieve both deception and suppression jamming effects. In this paper, the parameter estimation and suppression methods for C&I jamming are studied. With the derivation of the pulse compression result of the jamming, time-frequency analysis is applied for jamming parameter estimation;and then the jamming is reconstructed and cancelled. Because of the low estimation accuracy of the jamming time width an adaptive CLEAN algorithm was proposed to improve the suppression performance. The effectiveness of the method is verified with simulation.

关键词： ECCM Coherent jamming Digital radio frequency memory Cancellation

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