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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 efficient FFT-mapping method based on cache optimization

An efficient FFT-mapping method based on cache optimization

引用

IET International Radar Conference 2015

作者： Zhu, Liang Liu, Tengfei Gao, Lining Wang, Jingyang 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

Fast Fourier Transform (FFT) is an important technology in real-time signal processing system, which means the efficiency of FFT algorithm mapping to hardware system has very important significance. At first, we aim at the FFT execution process on processor. And then analyze the memory access process based on cache mechanism, and get that the cache hit directly affects FFT execution time. Hence, an efficient mapping method is come up with, which splits long FFT into multiple segments to make sure every segment is shorter than the cache capacity. Accordingly, the cache hit rate will be improved, correspondingly, the execution efficiency will be better finally. In the end, the new method is experimented on the A DI's TS201 digital s ignal proces s or, and the res u lt s hows that the execution time of FFT is improved greatly.

关键词： Fast Fourier transforms

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Fast and robust adaptive beamforming method based on complex-valued RBF neural network

Fast and robust adaptive beamforming method based on complex...

引用

IET International Radar Conference 2018, IRC 2018

作者： Li, Yuqing Yang, Xiaopeng Liu, Feifeng Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

The adaptive beamforming is one of the key techniques for array signal processing. However, the matrix inversion operation in the existing methods will cost a large amount of computational complexity, which results in poor real-time processing ability. In order to reduce the amount of computational cost, a fast and robust adaptive beamforming method based on complex-valued radial basis function (CRBF) neural network is proposed. In the proposed method, the CRBF neural network is established, thus the direct matrix inversion is avoided by the nonlinear mapping processing from the array covariance matrix to the adaptive weight vector, and therefore the calculation speed of adaptive weight vectors is increased. Based on the simulation results, the proposed method is verified that the speed of adaptive beamforming is increased compared with sample matrix inversion (SMI) algorithm method and an improved performance is achieved compared with that of conventional real-valued RBF neural network beamformer. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Beamforming

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SAR Image Scattering Center Estimation via Atomic Norm Minimization 6

SAR Image Scattering Center Estimation via Atomic Norm Minim...

引用

6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019

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

ISBN: (纸本)9781728129129

Scatter center matching is one of the choke points of radar automatic target recognition (RATR) based on Synthetic Aperture Radar (SAR). Accuracy of scattering center extraction is an important factor affecting target recognition performance. This paper proposes a SAR images scattering center estimation method based on atomic norm minimization (ANM) model. This method models the scattering center estimation problem as a two-dimensional line spectrum estimation problem, then the estimation is performed in a continuous domain via ANM. 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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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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Three-dimensional optimal focusing imaging algorithm for wall-penetrating radar

Three-dimensional optimal focusing imaging algorithm for wal...

引用

IET International Radar Conference 2018, IRC 2018

作者： Li, Yinchuan Zhao, Yikun Xiang, Yin Ding, Zegang Liu, Haibo Liu, Quanhua Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

Wall-penetrating radar (WPR) is the device to image very small objects buried inside the wall. The small objects usually a few millimetres, whereas the bandwidth of WPR limits its resolution up to several centimetres. As a result, the target imaging result of the traditional method is 'defocused' in the range direction. To solve this problem, a near-field three-dimensional imaging algorithm based on matching filtering with multiple reference signals and selection processing is proposed. Instead of obtaining a focused image via coherent superposition processing, a focused image is determined by selecting an image from a plurality imaging results of different reference depths according to the minimum entropy criterion. The proposed algorithm is validated by imaging the computer simulation technology simulation data and the measured data. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Radar imaging

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SAR geometric correction algorithm improvement on multi-core C6678 DSPs

SAR geometric correction algorithm improvement on multi-core...

引用

2016 IEEE International Conference on Signal processing, Communications and Computing, ICSPCC 2016

作者： Mengyu, Lu Jinghua, Wang Ye, Jin Key Laboratory of Embedded Real-time Information Processing Technology Beijing China China Academy of Space Technology Department of Overall Design Beijing China

ISBN: (纸本)9781509027088

This paper achieves the SAR geometric correction algorithm and makes improvements based on multi-core C6678 DSPs. To solve the insufficient real-time problem, this paper improves the geometric correction, and designs process software that can meet the real-time requirements, from the process flow, process algorithm and storage process aspects. This paper describes the multiple DPSs parallel process scheme and multi-core mapping tasks, and makes a comparison of the time-consuming before optimization and after. And after the optimization, the geometric correction's efficiency is two times of the original. After verification, the parallel process software designed in this paper can meet the real-time requirements of the project, and also has good stability. © 2016 IEEE.

关键词： Verification

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Smart noise jamming suppression method based on fast fractional filtering

Smart noise jamming suppression method based on fast fractio...

引用

IET International Radar Conference 2018, IRC 2018

作者： Han, Bowen Yang, Xiaopeng Wu, Xuchen Li, Shuai Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

Smart noise jamming based on digital radio frequency memory (DRFM) has both oppressive jamming effect and deceptive jamming effect, and it is difficult to be effectively suppressed by traditional anti-jamming methods. In order to solve this problem, an anti-jamming method for linear frequency modulation (LFM) pulse compression radar system is proposed. The proposed method is combined with fractional Fourier transform (FrFT) and fractional domain filtering strategy. Here, first, the FrFT transform is performed on the received signal, and the optimal transform angle is calculated by calculating the fractional fourth-order origin moment. Then, the narrow-band filter is performed in the fractional domain to extract the target signal and suppress the jamming signal. Finally, fractional Fourier inverse transform is done to restore the target signal. The simulation results show that the method not only can effectively suppress smart noise jamming but also can accurately detect the position of the target. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Inverse problems

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Distorted SAR target recognition with virtual SVM and AP-HOG feature 5

Distorted SAR target recognition with virtual SVM and AP-HOG...

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

Synthetic aperture radar (SAR) plays an indispensable role in national defence and civil fields due to its unique advantages. Although many methods have been proposed, the recognition to SAR images still faces many difficulties, especially to distorted images. This paper first improves the morphological methods attribute profiles (APs) which is widely employed with optical, and hyperspectral images in particular. We combine the APs method with histogram of oriented gradients (HOG) feature (called AP-HOG) to make it suitable for SAR images. Then, the SVM model is used to identify the labelled samples (i.e., Support Vectors) that are closest to the separating hyperplane with maximum margin. We generate different degrees of distorted images based on support vectors, and use the distorted image and the support vector as a new training set for retraining to improve the recognition effect of the distorted image. Finally, we perform experimental verification based on the MSTAR dataset, which proves the effectiveness of the proposed method. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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Remote Sensing Object Detection Based on Lightweight YOLO-V4 7

Remote Sensing Object Detection Based on Lightweight YOLO-V4

引用

7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering

作者： Li, Keng Cao, Yunfei Chen, He Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology 5 South Zhongguancun Street Haidian District Beijing China

ISBN: (纸本)9781510656437

The remote sensing object detection algorithms based on deep learning have high detection performances, but the network structures are too complexity to meet the real-time processing requirements in on-board remote sensing object detection. In order to solve this problem, we proposed a lightweight YOLO-v4 network, which is 76% smaller than the original YOLO-v4. As for the decrease of lightweight network's accuracy, we adopted the general instance distillation algorithm, which used the original YOLO-v4 network as the teacher network and whose detection accuracy achieved 2.1% mAP gain. © 2022 SPIE. All rights reserved.

关键词： Remote sensing

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