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检索条件"机构=Beijing Key Laboratory of Embedded•Real-Time Information: Processing Technology"

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Spaceborne synthetic aperture radar imaging mapping methodology based on FPGA-DSP hybrid heterogeneous architecture

Spaceborne synthetic aperture radar imaging mapping methodol...

引用

IET International Radar Conference 2018, IRC 2018

作者： Yu, Wenyue Xie, Yizhuang Li, Bingyi Chen, He Liu, Xiaoning Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China DFH Satellite Co. Ltd. Beijing100081 China

With the development of synthetic aperture radar (SAR) technologies in recent years, the huge amount of remote sensing data bring challenges for high-speed transmission and real-time processing. The general platform with GPU, CPU or digital signal processor (DSP) cannot meet the requirement for short delay and low power. Therefore, a field-programmable gate array-digital signal processor (FPGA-DSP) SAR imaging accelerate platform has become a solution for processing performance with a lower latency and power. In this study, an effective mapping strategy is adopted to the FPGA-DSP hybrid heterogeneous architecture to accelerate the processing performance according to the analysis of Chirp Scaling SAR imaging algorithms. As a proof of concept, a FPGA-DSP hybrid heterogeneous accelerating platform is designed and realised. The platform requires 12 s to focus a stripmap SAR raw data with a granularity of 16,384 × 16,384. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Digital signal processors

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THE DISTRIBUTED SAR IMAGING METHOD FOR CYLINDER TARGET

THE DISTRIBUTED SAR IMAGING METHOD FOR CYLINDER TARGET

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Fan Yujie Chen Xinliang Wei Yangkai Ding Zegang Wang Yan Wen Yuhan Tian Weiming Beijing Key Laboratory of Embedded Real-time Information Processing Technology

Traditional SAR imaging methods are based on point target scattering model, hence are not capable of recovering the shapes of distributed targets such as cylinders. The cylinder target is usually shown as two endpoints in the traditional single-angle SAR images. However, the distributed SAR can provide multi-angle observation information of the cylinder target. To improve the SAR image quality, we propose a distributed SAR imaging method for the cylinder target with a sparse distributed SAR configuration. The proposed method reconstructs the cylinder target by estimating the parameters from the SAR image, and then identity the cylinder target from the distributed SAR echo. When positive decision is made, the shape of the cylinder target can be recovered with these parameters. Numerical simulations have been conducted to demonstrate the effectiveness of the proposed method.

关键词： Radar imaging Radar polarimetry Synthetic aperture radar Radar tracking Scattering Image reconstruction

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Moving target modelling and indication in MIMO GEO SAR

Moving target modelling and indication in MIMO GEO SAR

引用

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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Parameter estimation of G0 distribution based on improved recursive expectation-maximisation method for clutter modelling

Parameter estimation of G0 distribution based on improved re...

引用

IET International Radar Conference 2018, IRC 2018

作者： Lu, Jiaxin Sun, Yuze Zhuo, Bangsheng Yang, Xiaopeng Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China Department of Electronic Engineering Tsinghua University Beijing100084 China

Modelling and simulation of clutter are important in radar signal processing, the G0 distribution is generally adopted to simulate the ground clutter in radar echoes. In order to improve the modelling accuracy of clutter modelling, the actual data should be used for model parameter estimation. However, in some special situations, the actual data sample is very small. Existing methods cannot estimate the parameters of G0 distribution efficiently. To solve this problem, an improved recursive expectation-maximisation (EM) method is proposed to estimate the parameters of clutter in this article. This method combines the expectation step and maximisation step in one equation. Through recursive method and simplification of the positive definite matrix, this proposed method can obtain maximum likelihood estimation more efficiently than the conventional EM method and recursive EM method. Simulation results show that the performance of the proposed method is better than that of the conventional methods for a small data sample. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Maximum likelihood estimation

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Dual Polarimetric HRRP Sequence Recognition Based on H|α Features

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

引用

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...

引用

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...

引用

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...

引用

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

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

引用

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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Polar format algorithm of synthetic aperture radar imaging on spiral trajectory

Polar format algorithm of synthetic aperture radar imaging o...

引用

IET International Radar Conference 2018, IRC 2018

作者： Li, Feng Yang, Wengu Wang, Zhou Yao, Di School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Read-time Information Processing Technology Beijing100081 China

A novel polar format algorithm is proposed for spiral trajectory. The synthetic aperture radar (SAR) signal model of spiral trajectory platform is firstly established, then the sector-by-sector phase compensation method of spiral trajectory SAR is proposed. With the descending of the flight platform, the slant range also decreases, thus the sector-by-sector phase compensation is required to correct the quadratic terms of the Range Cell Migration to expand the effective imaging range and eliminate the defocus of the target at the edge of the scene. The 2D-NUFFT is used to transform the 2D wavenumber domain instead of the traditional nearest interpolation method, which decreases the calculation. Finally, the algorithm is validated by simulation. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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