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

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An azimuth weighting method of slide-spotlight SAR based on subaperture chirp scaling algorithm

An azimuth weighting method of slide-spotlight SAR based on ...

引用

IET International Radar Conference 2015

作者： Shu, Bozheng Xu, Yinhui Ding, Zegang Zhu, Yu Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Institute of Spacecraft System Engineering CAST Beijing100094 China

ISBN: (纸本)9781849199940

Differentazimuth targets have different Doppler centroid and different time support domain in slide spotlight synthetic aperture radar. Thus, it is hard to weighting windowon the echo in slide spotlight mode. This paper proposed an azimuth weightingmethod of slide spotlight SAR based on subaperture chirp scaling algorithm. Firstly, the subaperture number of the algorithm is discussed based on the shift of Doppler centroid and the pulse repetition frequency(PRF). Secondly, the range cell migration and the remove of the azimuth phase of each subapertureare processed by chirp scaling algorithm independently. At last, the data of each subapertureis combined together, and the azimuth weighting window is applied after an azimuth de-ramp process of the combined data. The computer simulationsverify the validityof the proposed algorithm.

关键词： Synthetic aperture radar

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A FIR filter with variable order based on FPGA

A FIR filter with variable order based on FPGA

引用

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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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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TOA estimation for unkonwn signal under low SNR condition based on accumulation

TOA estimation for unkonwn signal under low SNR condition ba...

引用

IET International Radar Conference 2015

作者： J. C. Xu L. X. Ren Z. Y. Jiang E. K. Mao Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing

ISBN: (纸本)9781510822023

This paper presents a novel low complexity TOA estimation method for unknown signal under low SNR condition, especially for inner-pulse modulated signal. In this new method, received signal is firstly pre-processed by multiplying its delayed conjugation to reduce intra-pulse modulation. Then a refined coherent accumulation is applied to achieve a precise TOA estimation result. Simulation results show that this new method can achieve an accurate TOA estimation for unknown signal under low SNR condition.

关键词： TOA estimation coherent accumulation multiplication with delayed conjugation

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Common Targets Polarimetric Calibration Technique for Long Blind Range Radar

Common Targets Polarimetric Calibration Technique for Long B...

引用

IET International Radar Conference 2023, IRC 2023

作者： Tan, Lijia Li, Weidong Wang, Rui Wang, Jiangtao Li, Muyang Hu, Cheng The Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China The Advanced Technology Research Institute Beijing Institute of Technology Jinan250300 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

ISBN: (纸本)9781839539954

Many research indicates the importance of polarimetric information in radar systems for purposes such as detection, tracking, and parameter estimation. The calibration process is essential for obtaining precise polarimetric information. However, conducting calibration experiments for long blind range radars can be challenging in fields where ground clutter is prominent. For multi-pulse width switching radar, this paper introduces a polarimetric calibration algorithm by measuring common targets of short- and long-range waveforms. Firstly, we switch between various waveforms to measure the strong echo common targets in the overlapping detection range. The scattering matrices of common targets can be obtained by the short-range waveform calibrated by the conventional method. Then, the polarization error model is built based on the measured scattering matrices of long-range waveform, and the true values of the scattering matrices of common targets are used to estimate the polarization errors of long-range waveform. The effectiveness of the algorithm is validated through simulation results. © The Institution of Engineering & technology 2023.

关键词： Polarimeters

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The Optimal Partition Number Estimation Algorithm Based on Variational Inference

The Optimal Partition Number Estimation Algorithm Based on V...

引用

IET International Radar Conference 2023, IRC 2023

作者： Zhang, Jichuan Jiang, Qi Xu, Liang Wang, Rui Hu, Cheng The Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China The Advanced Technology Research Institute Beijing Institute of Technology Jinan250300 China The Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing100081 China

ISBN: (纸本)9781839539954

The partition of individual targets into proper clusters is crucial in tracking group targets with complex spatial structures. However, most of the current clustering methods suffer from heavy computation burdens and unfitting a priori knowledge, resulting in the degradation of robustness. This paper proposes an optimal estimate of partition number based on the variational inference for group targets. By maximizing the variational evidence lower bound, which serves as the model-selected criterion, the optimal partition number can be estimated. The K-means++ algorithm is used to initialize the variation iteration. The proposed algorithm does not require a priori information and has low computation complexity, which benefits from the deterministic approximation character of variational inference. The effectiveness of the proposed method is verified by simulation results. © The Institution of Engineering & technology 2023.

关键词： Consensus algorithm

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