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IET International Radar Conference 2018, IRC 2018

作者： Hu, Xueyao Zhang, Xinyu Li, Yang Wang, Hongyu Wang, Yanhua Beijing Key Laboratory of Embedded Real-Time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China College of Electronic Sciences National University of Defence Technology Changsha410073 China

Clutter presents considerable heterogeneity in forward-looking airborne radar (FLAR) applications and conventional space-time adaptive processing (STAP) methods are sensitive to model mismatch. As a result, when a strong target signal contaminates the training samples, despite the use of guard cells, the performance of conventional STAP methods degrades significantly. In this study, a robust method, which involves reconstructing a target-free covariance matrix and correcting the presumed steering vector to prevent target cancellation in FLAR, is proposed. First, the target-free covariance matrix is reconstructed through integrating the spatial-temporal spectrum over a sector separated from the desired frequency and direction of targets. Subsequently, the mismatch between presumed steering vector and actual steering vector is corrected via quadratic optimisation. In addition, the processing scheme is applied to real-measured clutter data, and the experimental results validate the effectiveness of the proposed method. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Space time adaptive processing

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Dual Polarimetric HRRP Sequence Recognition Based on H|α Features

Dual Polarimetric HRRP Sequence Recognition Based on H|α Fe...

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

作者： Zhang, Liang Long, Teng Li, Yang Wang, Yanhua 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 Technology Chongqing Innovation Center Chongqing401120 China

ISBN: (纸本)9781728123455

Dual polarimetric high resolution range prole (HRRP) is able to provide polarimetric and high resolution scattering characteristics information of radar target, which are very useful for automatic target recognition (ATR). In this paper, a novel feature extraction method, which combines both polarimetric and high resolution information, is proposed for dual polarimetric HRRP sequence based on H/alpha decomposition. In this method, the Halpha decomposition is applied on HRRP sequence by temporal average instead of traditional spatial average, which retains the full resolution of HRRP data and provides efficient polarimetric characteristics information of target scattering centers. This paper also presents a scattering mechanisms classification method using the extracted H and α features, and analyzes the effect of noise and clutter on the two features as well as classification performance. The application and effectiveness of the proposed method are demonstrated via outfield experiments. Results show that scattering mechanisms and structural components of a volumetric target are recognized over high resolution range cells, and the proposed method is able to provide support for HRRP sequence-based radar ATR. © 2019 IEEE.

关键词： Automatic target recognition

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Radar Anti-Retransmitted Jamming technology Based on Agility Waveforms

Radar Anti-Retransmitted Jamming Technology Based on Agility...

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

作者： Wang, Hongyu Yang, Xinkun Li, Yang 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 Technology Chongqing Innovation Center Chongqing401120 China

ISBN: (纸本)9781728123455

An anti-retransmitted jamming technique is proposed by utilizing phase and frequency-coded waveform techniques. To generate the effective agility waveforms, improved Logistic-Map chaotic sequences generation and optimization algorithm are proposed to obtain sets of orthogonal polyphase codes. The simulated ambiguity function of the agility waveform shows that the agility waveform presents a high resolution in the range domain. The performance of the waveform under different signal-to-interference ratios(SIR) is analyzed. Compared to conventional LFM waveforms, the agility waveform is capable of suppressing the retransmitted jamming effectively, by up to 30dB when the SIR is -5dB. © 2019 IEEE.

关键词： Jamming

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Polarimetric SAR Image Scattering Center Estimation via Atomic Norm Minimization

Polarimetric SAR Image Scattering Center Estimation via Atom...

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

作者： Xi, Ying Wang, Yanhua Chen, Wei Liu, Haibo Li, Yang 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 Technology Chongqing Innovation Center Chongqing401120 China

ISBN: (纸本)9781728123455

Polarization is one of the most important characteristics of electromagnetic wave, which offers another dimension of information to radar automatic target recognition (RATR). The combination of polarization and SAR technology is a vital research direction for RATR. Fusing the polarization information into the scattering center model is able to refine the scattering structural information. This paper proposes a fully-polarimetric SAR images scattering center estimation method based on multiple measurement vector (MMV) atomic norm minimization (ANM) model. The experimental results indicate the superiorities of the proposed method in terms of accuracy and robustness. © 2019 IEEE.

关键词： Synthetic aperture radar

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real-time Remote Sensing Video Compression for On-orbit Heterogeneous Platform

Real-time Remote Sensing Video Compression for On-orbit Hete...

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

作者： Duan, Chenhui Tang, Linbo Li, Chen Wu, Chen Li, Cheng Zhao, Baojun 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 School of Computer Science North China University of Technology Beijing100144 China

ISBN: (纸本)9781728123455

With the rapid advancement of optical remote sensing (RS) satellites, RS video has replaced RS image as the main way to obtain information in orbit environment. However, the storage and transmission of on-orbit RS video faces enormous challenges: the contradiction between limited power, space and bandwidth and massive video data volume is becoming increasingly acute. To solve this problem, this paper proposes an effective implementation of spaceborne real-time RS video compression based on CPU+GPU heterogeneous framework. First, we propose a new rate control method based on HEVC for on-orbit RS video compression, which allocates less bitrate for low complexity code blocks (CBs) and more bitrate for high complexity CBs, which can improve the accuracy of rate control algorithm while ensuring compression quality. Then this paper makes full use of the CPU + GPU heterogeneous framework to speed up the whole compression processing. The experimental results show that the proposed compression framework realizes 200x real-time compression of 1080p spaceborne RS video with a PSNR greater than 38.7 dB. © 2019 IEEE.

关键词： Orbits

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Moving target modelling and indication in MIMO GEO SAR

Moving target modelling and indication in MIMO GEO SAR

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IET International Radar Conference 2018, IRC 2018

作者： Cui, Chang Liu, Xiangrong Dong, Xichao Hu, Cheng Li, Yuanhao School of Information and Electronics Beijing Institute of Technology Beijing China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

Multiple-input multiple-output geosynchronous synthetic aperture radar (MIMO GEO SAR), composed by several mini-satellites in GEO orbits, has more spatial degrees of freedom, which helps to suppress clutter and improves the performance of ground moving target indication (GMTI). However, in order to ensure the satellite safety, the satellite spacing in MIMO GEO SAR is very large. It results in the failure of far-field assumption and causes the moving target defocusing because of the mismatch between the steering vector in far-field sources and the moving target echo. Here, a new signal model based on the near-field sources is first given according to the GEO SAR satellite-ground geometry relationship. Then, considering the phase difference between the different channels, the spatial steering vector is derived and the weight vector for adaptive processing is proposed to suppress clutter and indicate the moving target. Finally, computer simulations are carried out for the validation of the proposed method. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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Curved Target Echo Modeling and Distributed SAR Imaging

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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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Algorithm Implementation of On-Board SAR Imaging on FPGA+DSP Platform

Algorithm Implementation of On-Board SAR Imaging on FPGA+DSP...

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

作者： Yu, Wenyue Xie, Yizhuang Lu, Dan Li, Bingyi Chen, He Chen, Liang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China Shanghai Institute of Satellite Engineering Shanghai201109 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China

ISBN: (纸本)9781728123455

This paper introduces an effective parallel processing method to design the on-board SAR (Synthetic Aperture Radar) real time imaging processor using FPGA+DSP based on the high-resolution imaging algorithm. The architecture of this processor is designed based on the analysis of the algorithm operation characteristics and the inherent time relationship. In order to reduce the time consumption, pipeline and parallel joint processing method is applied. In addition, the system uses a combination of floating-point operations and fixed-point operations, which not only meets the imaging accuracy requirements but also saves the hardware scale of the system. The system requires 24s to focus the GF-3 stripmap SAR raw data with a granularity of 1638416384 when works in 100MHz. The results demonstrate that our method was effective and the imaging quality can meet the requirements. © 2019 IEEE.

关键词： Field programmable gate arrays (FPGA)

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A FIR filter with variable order based on FPGA

A FIR filter with variable order based on FPGA

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

作者： Jiahao, Li Bingyi, Li Shankang, Hu Tingting, Qiao Yizhuang, Xie Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China Beijing Institute of Radio Metrology and Measurement Beijing China Beijing Institute of Remote Sensing Equipment Beijing China Beijing Institute of Technology Beijing China

ISBN: (纸本)9781728123455

Considering the low accuracy of the fixed-point FIR filter and the disadvantages of fixed filter order, a design to realize a FIR filter using floating-point with variable order based on FPGA was introduced. This kind of FIR filter realizes the function of changing orders without additional hardware resources. Using the simulation tool of Vivado and MATLAB, the relative error of the FIR filter is less than 10-3, which indicates that this kind of FIR filter enjoys high accuracy. © 2019 IEEE.

关键词： Field programmable gate arrays (FPGA)

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A Novel CNN Architecture on FPGA-based SoC for Remote Sensing Image Classification

A Novel CNN Architecture on FPGA-based SoC for Remote Sensin...

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

作者： Zhang, Na Shi, Hao Chen, Liang Lin, Tong Shao, Xin School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China Beijing Racobit Electronic Information Technology Co. Ltd Beijing China

ISBN: (纸本)9781728123455

The convolutional neural network (CNN) has achieved extraordinary results for image classification and recognition in-orbit satellite remote sensing applications. However, the implementation of CNN is difficult due to the increasing computational accuracy and complexity of CNN and the special working environment for satellites in orbit. A promising solution for this problem is field-programmable gate array (FPGA) due to its sufficient supporting for parallel computing with low power consumption. And system-on-chip (SoC) is a system that supports parameter reconfiguration. Hence, through applying the Lenet-5 based remote sensing image classification method to SoC, we propose several network mapping methods to reduce the resource consumption and enhance the computational efficiency of FPGA, then, we utilize the proposed methods to design several key modules for the implementation of CNNs, i.e., the convolution module, sigmoid module, pooling module, full connected module, system control module, on-chip cache model, and off-chip DRAM module. The test results show that the proposed hardware system architecture can implement Lenet-5 network and realize the realtime requirements of the system. © 2019 IEEE.

关键词： System-on-chip

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