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

作者： Feng, Xing Jia, Mingfei Chen, He Radar Research Lab School of Information and Electronics Beijing Institute of Technology China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781728123455

Convolutional Neural Network (CNN) is an algorithm widely used in the field of deep learning. Due to the large number of intensive parallel data operations, the use of CPU to implement the CNN serially consumes too much time. In view of the above research background, the System-on-a-Programmable-Chip (SOPC) implementation and acceleration modules of CNN are designed by using the Zynq-7035 development platform launched by Xilinx as the experimental platform. The experiment results show that our method is effective and efficiency for the target image classification on the development platform. © 2019 IEEE.

关键词： Convolutional neural networks

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Ground Moving Target Imaging Based on MSOKT and KT for Synthetic Aperture radar

Ground Moving Target Imaging Based on MSOKT and KT for Synth...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Jun Wan Zhanye Chen Yu Zhou Dong Li Yan Huang Linrang Zhang Chongqing Key Laboratory of Space Information Network and Intelligent Information Fusion Chongqing University Chongqing P. R. China National Laboratory of Radar Signal Processing Xidian University Xi'an P. R. China Purple Mountain Laboratory Nanjing P. R. China

ISBN: (数字)9781728163741

ISBN: (纸本)9781728163758

The synthetic aperture radar (SAR) image of ground moving targets will be typical smeared given the range migration (RM) and Doppler frequency migration (DFM). To deal with these issues, a new SAR ground moving target imaging method based on modified second-order keystone transform (MSOKT) and keystone transform (KT) is developed in this paper. Firstly, the time reversing process is utilized to separate the second-order phase. Secondly, the range curvature migration and DFM are removed by MSOKT, and then the second-order phase is estimated. Finally, the moving target is finely focused after eliminating residual RWM by KT. The main contributions of this paper are listed as follows: 1) the proposed method can effectively focus moving targets without residual errors; 2) the effects of Doppler ambiguity and blind speed sidelobe are further handled. The effectiveness of the proposed method is confirmed by the simulation and real data-processing results.

关键词： Doppler effect Synthetic aperture radar Imaging Transforms radar imaging Azimuth Time-frequency analysis

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Research on Infrared and Vsisible Image Fusion System

Research on Infrared and Vsisible Image Fusion System

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

作者： He, Xinxin Tang, Linbo Wu, Chen 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

ISBN: (纸本)9781728123455

Infrared and visible image fusion is an important branch of image fusion technology. By combining the image information of two different bands, the human eye or machine can detect the target more comprehensively, quickly and accurately, and image fusion can improve the ability of human vision to understand the scene, which has great application value in military and civilian fields. Therefore, the research of infrared and visible image fusion systems has important theoretical and practical significance. In this paper, the author takes infrared and visible images as the research object, expounds the basic theory of image fusion, designs the fusion algorithm and the system based on FPGA + ARM, and also gives the complete solution of image fusion system. The experimental results show that the image fusion system is built successfully, the system image fusion effect is good, and the real-time processing is realized. After further experiment and design optimization, the system can be applied in engineering. © 2019 IEEE.

关键词： Image fusion

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Research on parallel architecture design of radar real-time signal processing based on CPU-GPU heterogeneous platform

Research on parallel architecture design of radar real-time ...

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IET International radar Conference (IET IRC 2020)

作者： H. Dong C. Zheng W. Tian School of Information and Electronics Beijing Institute of Technology Radar Research Lab Beijing 100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing 100081 China

In view of the central processing unit (CPU) platform processing performance limits on computationally intensive tasks, as well as the FPGA + DSP [1-3] platform of software and hardware of high coupling and difficult defects, using the graphics processor (GPU) powerful parallel computing power, the CPU and GPU pipeline technology, heterogeneous systems with multithreading, GPU more and more flow, such as strategy, puts forward the real-time signal processing system of the multiple perspectives analysis methods, make full use of the independence between modules and signal processing algorithm concurrency features within the *** experimental results show that, compared with the traditional MATLAB platform, the maximum acceleration ratio based on CPU-GPU heterogeneous platform can reach more than 20000, and the parallel architecture designed can fully meet the real-time requirements of radar signal processing.

关键词： parallel architectures field programmable gate arrays radar signal processing digital signal processing chips graphics processing units radar computing multi-threading

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The Reconfigurable Pipelined Variable-point FFT Processor Design

The Reconfigurable Pipelined Variable-point FFT Processor De...

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

作者： Wang, Jiale Xie, Yizhuang Li, Bingyi Yang, Chen Hu, Shankang 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

ISBN: (纸本)9781728123455

In the multi-mode SAR imaging processing targeted in this paper, the FFT requirement granularity ranges from 1024 to 32768. Therefore, this paper mainly describes the method of implementing reconfigurable and variable-level FFT units using radix-2k, By analyzing and comparing the radix 2k algorithm, the radix-23 is selected as the basis of the single-channel FFT butterfly, and the range of the point representation is extended by the butterfly transformation downward compatible with the radix-22/radix-2. This paper realizes an architecture of the single channel delay feedback variable-point, high precision FFT processor. © 2019 IEEE.

关键词： Fast Fourier transforms

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Parameter Estimation of Redundant System 15th

Parameter Estimation of Redundant System

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15th International Conference on intelligent information Hiding and Multimedia signal processing, IIH-MSP 2019, held in conjunction with the 12th International Conference on Frontiers of information Technology, Applications and Tools, FITAT 2019

作者： Xie, Chao-Fan Xu, Lin Zhang, Fuquan Xu, Lu-Xiong Department of Electrical Engineering I-Shou University KaohsiungTaiwan Taiwan Electronic Information and Engineering Institute Fuqing Branch of Fujian Normal University Fuqing FuzhouFuJian China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China School of Software Beijing Institute of Technology Beijing100081 China Key Laboratory of Nondestructive Testing Fuqing Branch of Fujian Normal University Fuqing FuzhouFuJian China

ISBN: (纸本)9789811397134

The components usually are redundant and they are often connected to larger systems in series or in parallel. For large systems, the order estimation formulas of different types of components are very important which are deduced by collecting the data of overall faults. The estimation properties in the sense of probability are given. It is the asymptotic convergence of probability. Continue to improve variance estimator to achieve asymptotically minimum uniform variance estimator. This ensures the practicability of the theoretical formula. Further study uses computer simulation to estimate series and parallel systems in which the components are redundant, and it gives the specific handing framework. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Computer simulation Estimation Redundant

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Spectral2Spectral: Image-spectral Similarity Assisted Deep Spectral CT Reconstruction without Reference

arXiv

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arXiv 2022年

作者： Guo, Xiaodong Li, Yonghui Chang, Dingyue He, Peng Feng, Peng Yu, Hengyong Wu, Weiwen The Key Lab of Optoelectronic Technology and Systems of the Education Ministry of China Chongqing University Chongqing China The China Academy of Engineering Physics Institute of Materials Mianyang China The Department of Electrical and Computer Engineering University of Massachusetts Lowell LowellMA01854 United States The School of Biomedical Engineering Sun Yat-Sen University Guangdong Shenzhen China The Henan Key Laboratory of Imaging and Intelligent Processing PLA Strategic Support Force Information Engineering University Zhengzhou China

Spectral computed tomography based on a photon-counting detector (PCD) attracts more and more attentions since it has the capability to provide more accurate identification and quantitative analysis for biomedical materials. The limited number of photons within narrow energy bins leads to imaging results of low signal-noise ratio. The existing supervised deep reconstruction networks for CT reconstruction are difficult to address these challenges because it is usually impossible to acquire noise-free clinical images with clear structures as references. In this paper, we propose an iterative deep reconstruction network to synergize unsupervised method and data priors into a unified framework, named as Spectral2Spectral. Our Spectral2Spectral employs an unsupervised deep training strategy to obtain high-quality images from noisy data in an end-to-end fashion. The structural similarity prior within image-spectral domain is refined as a regularization term to further constrain the network training. The weights of neural network are automatically updated to capture image features and structures within the iterative process. Three large-scale preclinical datasets experiments demonstrate that the Spectral2spectral reconstructs better image quality than other the state-of-the-art methods. © 2022, CC0.

关键词： Image reconstruction

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A Wideband Millimeter Wave E-shape Antenna in Package with Embedded Wafer Level Ball Grid Array Technology

A Wideband Millimeter Wave E-shape Antenna in Package with E...

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International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO)

作者： Bin Lu Haoran Zhu Zongming Duan Yuefei Dai Key Lab of Intelligent Computing & Signal Processing Ministry of Education Anhu University Hefei China Key Lab of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Anhui Province Engineer Laboratory for Antennas and Microwave The 38th Research Institute of China Electronic Technology Group Corporationy Hefei China

ISBN: (数字)9781728169668

ISBN: (纸本)9781728169675

The feasibility of an antenna-in-package (AiP) concept is demonstrated for automotive radar sensors at the 77 GHz-band. Infineon's embedded wafer level ball grid array (eWLB) is employed as packaging technology. We developed a E-shape patch antenna in 6×6 mm 2 eWLB package that include 2×2 mm 2 dummy Si chips. From the simulated results of the proposed E-plane patch antenna, provides a wide bandwidth of 19.2% (|S 11 |

关键词： Patch antennas radar antennas Sensors Broadband antennas Wideband Antenna arrays Electronics packaging

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Array optimization for MIMO radar based on harmony search mechanism

Array optimization for MIMO radar based on harmony search me...

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IEEE International Symposium on information (IT) in Medicine and Education, ITME

作者： Ling Jiang Yi Jiang Guimin Shi Zhongjie Xiao School of Mathematics and Computer Wuyi University Wuyishan China The Key Laboratory of Cognitive Computing and Intelligent Information Processing of Fujian Education Institutions Wuyishan China Digital Fujian Tourism Big Data Institute Wuyishan China Big Data Development Administration of Anji County Huzhou China

ISBN: (纸本)9781728194202

In order to overcome the premarure risk of differential evolution algorithm, harmony search mechanism is introduced to optimize the pattern synthesis of multiple input and multiple output radar. Firstly, the memory of harmony search receives the optimizing results of differential evolution algorithm. And then it disturbs the local best to achieve better global optimization results. The advantage of novel method than standard differential evolution is tested with benchmark function while it can also maintain the diversity of population. What's more, several experiments are conducted to show that the optimal peak side lobe level and convergence performance have been achieved better through the proposed algorithm for multiple input and multiple output radar.

关键词： MIMO radar Sociology Education radar Statistics information technology Optimization

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Analysis and identification of continuous line target in SAR echo based on sidelobe features

Analysis and identification of continuous line target in SAR...

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IET International radar Conference 2018, IRC 2018

作者： Wei, Yangkai Chen, Xinliang Fan, Yujie Ding, Zegang Wen, Cheng Radar Research Lab School of Information and Electronics Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

There are a large number of continuous line targets in the synthetic aperture radar (SAR) images of land scenes. The traditional SAR processing, which makes the continuous line targets becomes two point targets in traditional SAR images, cannot reveal the complete features of continuous line targets and cause enormous difficulties for SAR image interpretation. This study analyses the reason why traditional SAR processing cannot embody the edge characteristics of continuous line targets based on the sidelobe features of the SAR echo. The authors propose a new identification method based on the difference of the echo amplitude between continuous line target and point targets, which will help to interpret the continuous line targets in SAR images. Numerical simulation experiment based on the classical strip SAR validates the effectiveness of the proposed method. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Synthetic aperture radar

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