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FPGA-based reconfigurable matrix inversion implementation for inverse filtering of multichannel SAR imaging

FPGA-based reconfigurable matrix inversion implementation fo...

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IET International radar Conference 2018, IRC 2018

作者： Li, HuiXing Feng, YangKai Hu, ShanQing Li, BingYi Xie, YiZhuang Wu, MengChao Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China Shanghai Institute of Satellite Engineering Shanghai China

In multi-channel synthetic aperture radar (SAR), the azimuth non-uniform sampling tends to result in a large number of virtual point targets, which are not expected. Inverse filter algorithm provides a new idea for solving this problem. This way can be abstracted as a matrix inversion in essence, which becomes the key factor that affects the real-time and accuracy of multi-channel pre-processing. This study presents the implementation of matrix inversion method on field programmable gate array (FPGA), based on lower and upper triangular matrix (LU) decomposition algorithm. In this process, the efficient parallelism of FPGA and the rich floating-point intellectual property (IP) cores are fully utilised to speed up the process of inverting the matrix with a data type of 32-bit single-precision floating-point. In this design, the parallelism of the algorithm was fully considered and a hierarchical iterative processing strategy was adopted to realise the reconfigurable storage and computing unit both. At the same time, in order to achieve the balance of resources and efficiency, a reusable structure was proposed also, using the pipeline technology and appropriate data scheduling. Finally, Modelsim platform is used to observe the simulation results, and the performance can be detected combined with MATlab platform. At last, the computational accuracy is up to 10−7, and the speedup ratio can reach about 1.461 × 103 © This is an open access article published by the IET under the Creative Commons Attribution License (http://***/licenses/by/3.0/)

关键词： MATlab

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Polarised HRRP scattering centre estimation via atomic norm minimisation

Polarised HRRP scattering centre estimation via atomic norm ...

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IET International radar Conference 2018, IRC 2018

作者： Liu, Haibo Xi, Ying Wang, Yanhua Li, Yang Zhao, Tong Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Racobit Radar Technology Research Institute Co. Ltd. Beijing100081 China

The combination of polarisation and high-resolution technology is a promising research direction for radar automatic target recognition. Fusing the polarisation information into the scattering centre model is able to refine the scattering structural information. This study proposes a fully-polarised radar high range resolution profile (HRRP) scattering centre estimation method based on a multiple measurement vector atomic norm minimisation model. The estimation is performed in a continuous domain, thus avoids the basis mismatch problem. The experimental results demonstrate the superiorities of the proposed method in terms of accuracy and robustness. © This is an open access article published by the IET under the Creative Commons Attribution License (http://***/licenses/by/3.0/)

关键词： Polarization

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SAR image classification method based on Gabor feature and K-NN

SAR image classification method based on Gabor feature and K...

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IET International radar Conference 2018, IRC 2018

作者： Wang, Zhiru Chen, Liang Shi, Hao Qi, Baogui Wang, Guanqun Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China Department of Electronics Tsinghua University Beijing100084 China

Synthetic aperture radar (SAR) image target classification is a hot issue in remote-sensing image application. Fast and accurate target classification is important in both military and civilian fields. Consequently, this study proposes a novel SAR image target classification method based on Gabor feature extraction and K-NN classifier. First, the multi-scale Gabor features of SAR image are extracted. Then, a k-nearest neighbour (k-NN) classifier with principle component analysis is trained by the extracted Gabor features. Finally, the classifier is used to realise the multi-types SAR image targets classification. MSTAR database is used to validate the classification ability. Experimental results demonstrate that the proposed method has superior performance in term of efficiency and accuracy. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Image classification

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radar HRRP recognition based on CNN

Radar HRRP recognition based on CNN

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IET International radar Conference 2018, IRC 2018

作者： Song, Jia Wang, Yanhua Chen, Wei Li, Yang Wang, Junfu 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 Beijing Racobit Electronic Information Technology Co. Ltd. Beijing China

In this study, ground target recognition based on one-dimensional convolutional neural network (CNN) is studied by exploiting the targets' high-resolution range profiles (HRRPs). Contrary to conventional methods which need feature extraction artificially, CNN can automatically discover features for classification. The authors propose a multi-channel CNN architecture that can be applied on diverse forms of HRRP such as amplitude, complex, spectrum etc. Experimental results demonstrate the superiorities of the proposed method over conventional methods based on handcrafted features and single-channel CNN in terms of recognition accuracy. Visualisation of the 'deep features' shows higher separability than handcrafted features, thus providing an insight into its effectiveness in exploiting the intrinsic structures. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： radar target recognition

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Effect analysis of antenna translation vibration on GEO SARimage

Effect analysis of antenna translation vibration on GEO SARi...

引用

IET International radar Conference 2018, IRC 2018

作者： Zhang, Tianyi Lv, Zheng Yin, Wei Ke, Meng Li, Gen Ding, Zegang Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Institute of Spacecraft System Engineering Beijing China Shijiazhuang China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China

Due to the high orbital altitude, the large-area antenna and solar array will be utilised in geosynchronous synthetic aperture radar (GEO SAR) to meet the requirement of high transmitting power. However, the large-area antenna and solar array can easily cause antenna translation vibration (ATV) and further result in paired echo, which will seriously affect the GEO SAR image quality. Existing effect analyses of antenna vibration for low-earth-orbit SAR (LEO SAR) based on the linear trajectory and the corresponding second-order Doppler spectrum cannot be applied in GEO SAR because of its extremely long synthetic aperture time (SAT), curved trajectory, and corresponding high-order Doppler spectrum. To analyse the effects of ATV on GEO SAR image, the ideal echo signal model and the corresponding point spread function (PSF) of GEO SAR are first established and deducted, respectively. Then, the echo signal model and PSF affected by ATV are obtained. Based on the affected PSF, the effects of the ATV on GEO SAR image are analysed in detail, and the basis for subsequent ATV suppression is also obtained. Computer simulations validate the correctness of the analyses shown here. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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Design for the system of high-speed data transmission and data pre-processing for synthetic aperture radar imaging based on the system-on-a-programmable-chip

Design for the system of high-speed data transmission and da...

引用

IET International radar Conference 2018, IRC 2018

作者： Hu, Shankang Liu, Xiaoning Xie, Yizhuang Hu, Shanqing Li, Bingyi Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China DFH Satellite Co. Ltd Beijing100081 China

For the chirp scaling algorithm of synthetic aperture radar imaging, an efficient transmission of a large volume of data is indispensable. Prior to imaging, there is a requirement for appropriate pre-processing of the echo signal by digital down conversion (DDC). The DDC module has to remove the carrier, having an appropriate filtering processing and down-sampling processing. No matter what imaging mode is chosen, such as the stripmap mode, spotlight mode, and sliding spotlight, the needs of the whole imaging system are matched by setting a series of configurations about this pre-processing module and this transmission module. The system-on-a-programmable-chip constituted by the Advanced RISC Machine and field programmable gate array (FPGA) is the perfect experimental platform to test the performance of this system. Some of the algorithms, which are more feasible for this specific project for pre-processing in Maltab, were transplanted to FPGA using the VHSIC Hardware Description Language for functional verification. Finally, the processing results in Matlab were compared with this system to find the difference. At the same time, the time that elapsed from the 2 GB original data entering the system to the time the processed results were completely returned to the PC was also counted. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Field programmable gate arrays (FPGA)

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Resolution analysis for geostationary spaceborne-airborne bistatic forward-looking SAR

Resolution analysis for geostationary spaceborne-airborne bi...

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IET International radar Conference 2018, IRC 2018

作者： Ke, Meng Yin, Wei Zhang, Tianyi Yang, Yanjiao Ding, Zegang Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab School of Information and Electronics Beijing Institute of Technology China No. 589 Zhongshan West road Shijiazhuang China Beijing Electro-Mechanical Engineering Institute Beijing China

Owing to the spatial separation of transmitter and receiver, bistatic SAR is able to image the area in front of the moving direction of transmitter or receiver, but the geometry model is more complex than that of monostatic SAR, which brings great difficulties to system design and imaging process. Besides, the special geometry configuration of geostationary spaceborne-airborne bistatic forward-looking SAR results in non-orthogonal and non-uniform ground resolution, which is not considered in the traditional range and azimuth resolution. To solve this problem, the resolution ellipse based on the generalised ambiguity function (GAF) is used to maintain the best and worst ground resolution in the resolution cell. The receiver's flight direction is designed to obtain the optimal uniform ground resolution distribution, which has great value for system design and the receiver's path planning. Finally, the accuracy of the resolution ellipse and correctness of the deduced formulas are verified by simulation. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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An improved RUDP for data transmission in embedded real-time system

An improved RUDP for data transmission in embedded real-time...

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

作者： Chen, Yingying Hu, Shanqing Li, Xingming Wang, Ce Chen, Zhe Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China Beijing Racobit Electronic Information Technology Co.Ltd Beijing100081 China Academy of Broadcasting Science Internet Technology Institute Beijing100081 China

ISBN: (纸本)9781728123455

At present, the Ethernet has been widely used for data transmission in embedded real-time systems, including TCP (Transmission Control Protocol) and UDP (User Datagram Protocol). However, as embedded real-time systems continue to increase the requirements of transmission speed and reliability, TCP and UDP have not been able to meet the requirements. TCP is a stream-based, connection-oriented communication protocol, so the reliability of TCP is good. But its design is complicated, it occupies a lot of system resources, and the transmission speed of TCP is low. In contrast, UDP is non-connection-oriented protocol, so it is unreliable communication protocol. Both of them limit the Ethernet applying in embedded real-time systems. In order to meet the requirements of real-time, reliability and algorithm simplicity of embedded systems, this paper proposed an improved Reliable User Datagram Protocol (RUDP), which offers a solution to satisfy these requirements. It is valid on the real demonstration that the proposed method can offer a higher speed than TCP without package loss. © 2019 IEEE.

关键词： Transmission control protocol

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radar HRRP target recognition based on stacked denosing sparse autoencoder

Radar HRRP target recognition based on stacked denosing spar...

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IET International radar Conference 2018, IRC 2018

作者： Tai, Guangxing Wang, Yanhua Li, Yang Hong, Wei Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China Beijing Racobit Electronic Information Technology Co. Ltd. Beijing100081 China

An end-to-end radar high-resolution range profile recognition method is proposed based on stacked denosing sparse autoencoder which stacks several denosing sparse autoencoders and uses softmax as the classifier. The training process consists of two steps. The first is layer-by-layer pre-training and the second is fine tuning using the pre-training results for initialisations. The two-step training process makes this model converge faster and more likely to converge to the global optimal point than directly training the joint network. Experimental result shows that the proposed method achieves higher recognition accuracy than state-of-art methods. © This is an open access article published by the IET under the Creative Commons Attribution License (http://***/licenses/by/3.0/)

关键词： Learning systems

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Spaceborne Large-Squint Terrain-Matching Synthetic Aperture radar: Concept and technology

Spaceborne Large-Squint Terrain-Matching Synthetic Aperture ...

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Asian and Pacific Conference on Synthetic Aperture radar (APSAR)

作者： Yan Wang Zhe Li Zegang Ding Tao Zeng Radar Research Lab Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (数字)9781728129129

ISBN: (纸本)9781728129136

This paper discusses a new spaceborne large-squint terrain-matching synthetic aperture radar (LSTM-SAR) to effectively image the terrains that do not spread along satellite orbit. Different from the traditional spaceborne SAR, the swath of the LSTM-SAR spreads along the target terrain, instead of the satellite orbit, to perform terrain-matched imaging with both high resolution and short data acquisition period. Aiming at giving a sketch of how the LSTM-SAR works, the paper focuses on discussing the following three main aspects: the data acquisition geometry, azimuth sampling manner and raw data focusing algorithm. Specifically, an optimum squint geometry is firstly suggested for two dimensional swath optimization; then two non-uniform azimuth sampling methods are discussed to avoid data loss induced by transmission blockage; lastly, a wide nonlinear chirp scaling based algorithm is discussed to focus the spatially variant spaceborne LSTM-SAR echo. The presented approach is validated via the computer simulations.

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