检索结果-内蒙古大学图书馆

The Real-time Imaging Method for Sliding Spotlight SAR Based on embedded GPU

beijing Ligong Daxue Xuebao/Transaction of beijing Institute of technology 2020年第9期40卷 1018-1025页

作者： Hu, Shan-Qing Li, Hui-Xing Li, Bing-Yi Xie, Yi-Zhuang Chen, Liang Chen, He 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 Beijing Institute of Radio Measurement Beijing100854 China

For the real-time SAR imaging systems, aiming at the problems of low real-time performance and high power consumption of traditional computing platforms, an implementation method was studied for embedded GPU. In order to make full use of the limited memory in the embedded GPU, a memory partitioning and reconfiguration scheme was proposed. The page-locked memory and zero-copy technology were used to realize the transmission-calculation parallelization. To achieve high real-time performance, large-scale parallelism was realized by using shared memory, registers, et. The result shows that sliding spotlight SAR imaging processing on the TX2 can only take 12.66 s time and consume 15 W power. This method is also applicable to other modes radar processing algorithms, and can provide reference for the future embedded real-time SAR imaging processing. © 2020, Editorial Department of Transaction of beijing Institute of technology. All right reserved.

关键词： Graphics processing unit

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Slow-time MIMO Radar Clutter Mitigation Based on Robust Pulse-to-Pulse Coding 6

Slow-Time MIMO Radar Clutter Mitigation Based on Robust Puls...

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6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019

作者： Xu, Feng Xue, Junqi Yang, Xiaopeng Yang, Fawei Wang, Zhanze Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781728129129

Slow-time MIMO radar is investigated to deal with some cost sensitive applications like UAVs detection to avoid the use of arbitrary waveform generators and digital receivers. But this method suffers from the deterioration of Signal to Noise Ratio (SNR) caused by superposition of clutter. To solve this problem, a robust pulse-to-pulse coding method is proposed to mitigate clutter as well as suppress the sidelobe level in Doppler domain. In our proposed method, the problem of optimizing weighting vector is transformed into a typical MVDR problem and the design of new weighting vector is obtained by the combination of MVDR solution and a sequence of weight coefficients which are calculated by Fourier inversion. This proposed method can mitigate the clutter adaptively while the sidelobe is suppressed. Both simulation and experiments results validate the reliability and effectiveness of this method. © 2019 IEEE.

关键词： MIMO radar

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Slim-SSD: An Efficient Fast Object Detection Method

Slim-SSD: An Efficient Fast Object Detection Method

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IEEE Conference on Multimedia information processing and Retrieval (MIPR)

作者： Jing Donglin Linbo Tang BaoJun Zhao Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (数字)9781728142722

ISBN: (纸本)9781728142739

Object detection networks require large storage space and high computational cost, it is difficult to deploy deep neural networks on embedded devices with limited memory and computing resources in actual object detection tasks. In order to solve these challenges, we propose an efficient object detection framework by pruning channels of the feature extraction layer of the network. First, we apply the L1 regularization to the channel scale factor in the BN layer to obtain the object detection network with sparse structure. Then we trim the channel with less information to get the object detection framework. Based on this method, we obtained Slim-SSD with less trainable parameters and test time. Our experiments on benchmarks show that, on the basis of approximate accuracy with the original network, we have reduced the number of model parameters by 3x, and reduced the testing time by 2x. Our compression method helps to deploy complex object detection networks on resource-constrained embedded platform.

关键词： Object detection Feature extraction Neural networks Detectors Acceleration Training Standards

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Spaceborne Large-Squint Terrain-Matching Synthetic Aperture Radar: Concept and technology 6

Spaceborne Large-Squint Terrain-Matching Synthetic Aperture ...

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6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019

作者： Wang, Yan Li, Zhe DIng, Zegang Zeng, Tao Radar Research Lab Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781728129129

This paper discusses a new spaceborne large-squint terrain-matching synthetic aperture radar (LSTM-SAR) to effectively image the terrains that do not spread along satellite orbit. Different from the traditional spaceborne SAR, the swath of the LSTM-SAR spreads along the target terrain, instead of the satellite orbit, to perform terrain-matched imaging with both high resolution and short data acquisition period. Aiming at giving a sketch of how the LSTM-SAR works, the paper focuses on discussing the following three main aspects: the data acquisition geometry, azimuth sampling manner and raw data focusing algorithm. Specifically, an optimum squint geometry is firstly suggested for two dimensional swath optimization;then two non-uniform azimuth sampling methods are discussed to avoid data loss induced by transmission blockage;lastly, a wide nonlinear chirp scaling based algorithm is discussed to focus the spatially variant spaceborne LSTM-SAR echo. The presented approach is validated via the computer simulations. © 2019 IEEE.

关键词： Synthetic aperture radar

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A Novel Method for Abrupt Motion Change Radar Target Detection Based on Generalized Radon-Fourier Transform

A Novel Method for Abrupt Motion Change Radar Target Detecti...

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2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Liu, Siyuan DIng, Zegang Zhou, Xu You, Pengjie School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781728123455

Long-time integration is an effective method to improve the signal-to-noise ratio (SNR) and detection performance of highly maneuvering targets. The existing methods for long-time integration mainly focus on detecting targets with high-order motion under fixed model, losing sight of the possibility that targets may have an abrupt motion change at an unknown instant. Therefore, this paper proposes a novel long-time integration method for highly maneuvering target with abrupt change model (ACM) based on generalized Radon-Fourier transform (GRFT), which could coherently integrate the target echoes before and after ACM and obtain the optimal coherent integration gain. The simulation and experiment results show that the proposed method can detect the ACM target under the condition of extremely low SNR and improve the detection performance compared with the fixed model GRFT. © 2019 IEEE.

关键词： Fourier transforms

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Experiment and Results of bistatic UAV SAR

Experiment and Results of bistatic UAV SAR

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2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Ke, Meng Chen, Youwang Li, Yong Li, Linghao Liu, Feifeng DIng, Zegang School of Information and Electronics Beijing Institute of Technolog Beijing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing China

ISBN: (纸本)9781728123455

This paper introduces the bistatic UAV SAR experiment conducted in June 2018. The UAV platforms have limited load and space, which is a great challenge for synchronization. To meet the requirement, a very small atomic clock and direct signal were used for synchronization in this experiment. The imaging results proved the feasibility of this synchronization scheme. © 2019 IEEE.

关键词： Synchronization

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Single channel pipelined variable-length FFT processor design

Single channel pipelined variable-length FFT processor desig...

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IET International Radar Conference 2018, IRC 2018

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

In this study, a single channel pipelined variable-length fast Fourier transformation (FFT) processor design is presented. With the development of science and technology, digital signal processing has been widely used in many fields. The most basic algorithm of digital signal processing theory, FFT, is widely used in radar signal processing, remote sensing, image processing, communications and other fields. A high real-time and high-throughput FFT processor design method based on the field-programmable gate array (FPGA) platforms is proposed to meet the needs of the synthetic aperture radar imaging digital signal processing. The authors conducted the ISE synthesis based on the Xilinx FPGA platform using xc6vlx760ff1760-1 as the target chip and the ModelSim simulation, combined with Matlab, to verify the correctness of this design. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： MATLAB

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A Method for High-Speed and Maneuvering Range-Spread Target Detection

A Method for High-Speed and Maneuvering Range-Spread Target ...

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2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： You, Pengjie DIng, Zegang Qian, Lichang Zhou, Xu Wei, Yangkai Liu, Siyuan School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781728123455

When detecting range-spread target (RST) with multiple pulses, two phenomena may greatly deteriorate the detection performance. On the one hand, the target scatterers disperse in several range units, which makes the signal to noise ratio (SNR) become lower. On the other hand, high-speed and maneuvering RSTs can easily cause the across-range-unit and across-Doppler-unit effects, which limits the integration gain along slow time. In this paper, a detector is proposed to solve the two problems. The proposed detector first employs generalized Radon-Fourier transform (GRFT) to coherently integrate multiple pulses and then implements noncoherent integration for integrating the energy in different range units. Experiments demonstrate that the proposed detector outperforms the energy integration based keystone transform detector in both detection and velocity resolution performances, and the proposed detector also achieves better detection performance than GRFT for the RSTs without dominant scatterer. © 2019 IEEE.

关键词： Radon

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Dynamic partial reconfiguration scheme for fault-tolerant FFT processor based on FPGA

Dynamic partial reconfiguration scheme for fault-tolerant FF...

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IET International Radar Conference 2018, IRC 2018

作者： Wei, Xin Xie, Yi Z. Xie, Yu Chen, He Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

The fast Fourier transform FFT processor is an important part of the space real-time signal processing system based on field programmable gate array (FPGA). Since occupying a large amount of logical resources and storage resources, FFT processor is more vulnerable to high-energy particles in space, resulting in single event upset (SEU). This paper presents a novel FPGA scrubbing framework base on dynamic partial reconfiguration technique for a FFT processor to mitigate SEU. The proposed scheme is compared with the blind scrubbing, the reconfiguration time is reduced by 78%. Then, the resource utilisation is 61.5% less than triple modular redundancy scheme. This paper also presents a DPR controller for FFT processor, which is evaluated in terms of hardware resources and reconfiguration time. A comparison to the Xilinx PRC IP shows that multipath delay feedback FFT controller saves 38.6% resources. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Fast Fourier transforms

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An RDF Data Set Quality Assessment Mechanism for Decentralized Systems

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Data Intelligence 2020年第4期2卷 529-553页

作者： Li Huang Zhenzhen Liu Fangfang Xu Jinguang Gu Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and TechnologyWuhan 430065China College of Computer Science and Technology Wuhan University of Science and TechnologyWuhan 430065China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content State Administration of Radio and TelevisionBeijing 100038China

With the rapid growth of the linked data on the Web,the quality assessment of the RDF data set becomes particularly important,especially for the quality and accessibility of the linked *** most cases,RDF data sets are shared online,leading to a high maintenance cost for the quality *** also potentially pollutes Internet *** blockchain technology has shown the potential in many *** the blockchain storage quality assessment results can reduce the centralization of the authority,and the quality assessment results have characteristics such as *** this end,we propose an RDF data quality assessment model in a decentralized environment,pointing out a new dimension of RDF data *** use the blockchain to record the data quality assessment results and design a detailed update strategy for the quality assessment *** have implemented a system DCQA to test and verify the feasibility of the quality assessment *** proposed method can provide users with better cost-effective results when knowledge is independently protected.

关键词： Decentralization Quality assessment Blockchain RDF data set

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