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检索条件"机构=Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Lab"

共 205 条记录，以下是31-40 订阅

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High range resolution processing based on multi-band Beidou-2 direct signals

High range resolution processing based on multi-band Beidou-...

引用

IET International radar Conference 2015

作者： Zeng, Tao Tian, Weiming Wang, Jingyang Zhang, Tian Radar Research Laboratory 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)9781849199940

Synthetic aperture radar (SAR) systems have been successful in applications of monitoring stationary terrain. Recently, bistatic SAR systems using GNSS satellites as illu - minates attract intensive attentions in the research field of SAR. Due to the abundant frequency resources of GNSS systems, high resolution synthetic technology in range dimension is of great significance to make full use all of these resources. This paper presents a high resolution synthetic technology in range dimension, which can be used to process general signals obtained by radar systems. In this paper, GNSS signal is considered particularly and that method is modified to deal with GNSS signals. Then an experiment is carried out by Beidou-2 satellites system. The experiment result shows that this method is quite useful to Beidou-2 direct signals and the feasibility and effectiveness of this algorithm is verified.

关键词： Synthetic aperture radar

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A novel PS points' association method based on sliding-type scattering center for bistatic/multistatic SAR

A novel PS points' association method based on sliding-type ...

引用

IET International radar Conference 2015

作者： Wang, Jingyang Zeng, Tao Xiang, Yin Hu, Cheng Radar Research Laboratory 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)9781849199940

Synthetic aperture radar (SAR) systems have been successful in applications of monitoring stationary terrain. Recently, bistatic/multistatic SAR systems with the ability to obtain information from multiple directions attract intensive attentions in the research field of SAR. Considering that the images registration method is the fundamental of making full use of multi-angle information, this paper propose a novel PS points' association method based on sliding-type scattering centers for bistatic/multistatic SAR images in order to realize the images registration. This method has solved the problem that traditional images registration method by PS points only can be used with single angle observation and is of great significance for multi-angle information fusion and multi-baseline interferometric by bistatic/multistatic SAR systems.

关键词： Synthetic aperture radar

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SAR target recognition using feature extraction of multi-scale monogenic components 5

SAR target recognition using feature extraction of multi-sca...

引用

IET International radar Conference 2020, IET IRC 2020

作者： Li, Feng Yao, Weijun Li, Yang Radar Research Laboratory 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)9781839535635

In this paper, we combine the monogenic signal with the histogram of oriented gradient (HOG) feature, and propose a new low-level feature: Monogenic-HOG (MG-HOG);then use the bag of words (BoW) model to construct the middle-level feature. Most of the existed features are directly extracted from grayscale synthetic aperture radar (SAR) images. As an extended representation of analytic signals in high-dimensional space, the monogenic signal has excellent characteristics such as rotation and scale invariance in the potential extraction process, and it is also valuable in the image field. However, in the past related work, it is mostly used directly as the feature representation of the image. After experimental validation on the moving and stationary target acquisition and recognition (MSTAR) data set, the proposed feature extraction method has better performance than a number of existed methods. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Feature extraction

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SAR target recognition combining class information and classification hyperplane 5

SAR target recognition combining class information and class...

引用

IET International radar Conference 2020, IET IRC 2020

作者： Yao, Di Liu, Zhenyuan Li, Feng Li, Yang Radar Research Laboratory 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)9781839535635

Automatic target recognition (ATR) in synthetic aperture radar (SAR) images plays an important role. An important step in SAR target recognition is to transform the raw data to a feature space with the property of within-class compactness and between-class separation. However, due to the problem of target aspect angle sensitivity in SAR images, the difference of some targets belonging to the same class in different poses is greater than the difference of targets belonging to different class in similar poses, which often causes misjudgement. To solve this problem, we first use the twin support vector machine (TWSVM) to obtain the classification hyperplane of each class. Then, based on the obtained hyperplane, the projection matrix is constructed by fusing the prior class information of the target. In this way, the sample can be close to the classification hyperplane of the same class and distant from the classification hyperplane of a different class. This algorithm can improve TWSVM's ability to classify SAR images. Experiments are conducted on the moving and stationary target acquisition and recognition (MSTAR) database. The results verify the effectiveness of the proposed algorithm. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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FPGA-Based Implementation of Reconfigurable Floating-Point FIR Digital Filter 8th

FPGA-Based Implementation of Reconfigurable Floating-Point F...

引用

8th International Conference on Communications, Signal processing, and Systems, CSPS 2019

作者： Zhang, Ning Wei, Xin Li, Bingyi Chen, He Radar Research Lab 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 Beijing100081 China

ISBN: (纸本)9789811394089

As a critical digital signal processing method, finite impulse response (FIR) digital filter is widely used in radar signal processing, synthetic aperture radar (SAR) signal processing, etc. Furthermore, an efficient FIR hardware implementation contributes to the practical application of these processing. However, as a computation-intensive operation, the multiple high order FIR digital filter consumes a lot of hardware resources when implemented in commonly used chips such as field-programmable gate array (FPGA). In this paper, a reconfigurable FIR digital filter architecture is presented, which can perform different order FIR filtering operation without FPGA re-programming. In the experiment, the proposed FIR digital filter architecture was implemented and validated on the Xilinx Zedboard Evaluation Kit. The experimental results demonstrate that this design has a low consumption of hardware resources and can achieve real-time processing performance for digital signal processing in the practical applications. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Field programmable gate arrays (FPGA)

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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...

引用

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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Hierarchical ship detection method for space-borne SAR image

Hierarchical ship detection method for space-borne SAR image

引用

IET International radar Conference 2018, IRC 2018

作者： Tang, Wei Zhao, Baojun Tang, Linbo Nan, Jinghong Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

Ship detection from space-borne SAR image is a challenging task. The main challenges in this task include the disturbance of sea clutter, island, coastline, and variability in ship sizes. Here, the authors propose a novel hierarchical ship detection framework to overcome the above challenges. Initially, the edge-enhanced maximally stable extremal regions (E-MSER) is employed as ship candidates. Then, through some simple shape analysis, they can eliminate the obvious false alarms which are not conformed to the shape feature of ship. Finally, candidates are represented by an effective multiple features learning framework for discriminating true ship targets. Experimental results on numerous space-borne SAR images demonstrate their proposed scheme that outperforms other traditional methods with higher detection accuracy and lower false alarm. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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Point spread character based low SNR single pixel infrared target detection

Point spread character based low SNR single pixel infrared t...

引用

IET International radar Conference 2018, IRC 2018

作者： Nan, Jinghong Zhao, Baojun Tang, Linbo Zhang, Zengshuo Tang, Wei Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

Robust and efficient low signal-to-noise ratio (SNR) single pixel infrared (IR) target detection has been a key technique in IR searching and tracking system. However, there exist two critical difficulties, i.e. noise disturbance and low contrast between target and background, influencing detection accuracy. A novel IR target detection method is proposed to overcome those difficulties, by utilising the point-spread character. Specifically, a point-spread indicator is advocated to protect the potential target with the median filter to suppress the noise. Afterwards, a two-step enhancement model is built to increase the contrast value between target region and surrounding background effectively. In the first step, a point-spread local contrast method is proposed to enhance targets and suppress background. In the second step, a high boost filter is introduced to further enhance the target. In addition, an adaptive segmentation method is exploited to extract targets from the enhanced image. Experimental results on testing sequences demonstrate that this method outperforms the other state-of-the-art methods in single pixel IR target detection with higher detection rate, lower false alarm rate and less time consuming. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Median filters

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Parameter inversion algorithm of CSAR moving target based on PFA sub-aperture images

Parameter inversion algorithm of CSAR moving target based on...

引用

IET International radar Conference 2018, IRC 2018

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

Circular SAR (CSAR) as a new kind of SAR imaging mode has the advantage of long-time observation. For the moving target, the corresponding parameters of the moving target can be calculated by using the position information from the apparent coordinates of the moving target in these CSAR sub-aperture images. The CSAR sub-aperture imaging algorithms include BP and PFA, and the existing parameter estimation model is established on those well-focused and localised images. However, they account for a substantial computation. Here, an improved algorithm for parameter estimation based on CSAR sub-aperture images obtained by PFA is proposed. The wave-front phase error compensation is abandoned, and a new parameter estimation model is established based on PFA images with geometric positioning error. The computational complexity of the whole process of the algorithm is reduced, and the practicability is improved. The point target simulation shows that the method is effective and accurate. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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Rotation error analysis on slant 45° dual polarisation radar feature extraction

Rotation error analysis on slant 45° dual polarisation rada...

引用

IET International radar Conference 2018, IRC 2018

作者： Zhang, Liang Wang, Yanhua Li, Yang Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

Polarisation is an inner property of electromagnetic wave. It has considerable significance to analyse the polarimetric feature of targets in target recognition and classification applications. Slant 45° dual polarisation measurement is widely used due to its low requirements on system complexity and data rate on the one hand, and good polarisation measure and anti-interference capabilities on the other. However, its performance is seriously affected by rotation angle of the polarisations in transmission and reception. Here, the impact of rotation error of the transmit-receive polarisations on feature extraction is assessed by theoretical derivation at first. The variations with rotation angles of the transmit-receive polarisations are then simulated using standard scatterers and ground targets data. This permits quantification of the resulting rotation error on slant 45° dual polarisation measurement. The impact of the rotation error on H/α and polarimetric similarity features is also quantified in results. Some practical advices on system design, calibration, and feature application are given at last. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Rotation

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