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

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Generation scheme of chirp scaling phase functions based on floating-point CORDIC processor

Generation scheme of chirp scaling phase functions based on ...

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IET International Radar Conference 2018, IRC 2018

作者： Fang, Linlin Xie, Yizhuang Li, Bingyi Chen, He 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

This study presents a chirp scaling (CS) phase function generation scheme based on CORDIC algorithm, it adopts single precision floating-point CORDIC processor to implement a variety of non-linear operations which are involved in CS synthetic aperture radar (SAR) imaging algorithm. We extend the range of convergence of CORDIC algorithm and reduce the data width in rotation unit module by adopting a hardware resource reduction scheme. We also adopt a unified CORDIC processor to achieve square root, multiplication, and division operation, which can substitute multiple single-function processors and simplify the complicate arithmetic in CS algorithm. As a proof of concept, we verify the performance of the proposed design scheme on Xilinx XC7VX690T FPGA platform, it is also applied to 16384 × 16384 points target SAR imaging system, the FPGA resource occupancy of the CS phase function generation module demonstrates that the usage of CORDIC processor can effectively save the consumption of hardware resources, and the maximum operating frequency is acceptable. The accuracy of phase functions can satisfy the engineering requirements. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Field programmable gate arrays (FPGA)

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realization of fixed-point SAR imaging based on embedded GPU

Realization of fixed-point SAR imaging based on embedded GPU

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

作者： Li, Huixing Gao, Zixin Li, Bingyi Xie, Yi Zhuang 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 Beijing China Beijing Institute of Radio Measurement Beijing China

ISBN: (纸本)9781728123455

Aiming at the problem of insufficient memory in the real-time processing of SAR imaging on embedded TX2, this paper studies a design optimization scheme of fixed-point imaging algorithm on TX2. In order to ensure the accuracy, this paper only performs fixed-point processing on the FFT. According to the characteristics of the algorithm, the memory multiplexing method is adopted to effectively reduce the occupation of the work area buffer. A large number of registers are used to improve computing performance. The results show that the fixed-point FFT processing scheme can achieve a hundred times faster than the Intel Xeon CPU, and the memory footprint is less. © 2019 IEEE.

关键词： Fast Fourier transforms

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Polarisation-space-time adaptive processing for heterogeneous clutter suppression of airborne-phased array radar

Polarisation-space-time adaptive processing for heterogeneou...

引用

IET International Radar Conference 2018, IRC 2018

作者： Sun, Yuze Yang, Jian Yang, Xiaopeng Department of Electronic Engineering Tsinghua University Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronic Beijing Institute of Technology Beijing China

Conventional space-time adaptive processing (STAP) achieves clutter suppression by combining spatial signals and the temporal pulses. However, extreme slow-moving target cannot be effectively detected by space-time joint filtering in ambiguous and non-broadside clutter environment for airborne-phased array radar. By increasing the polarisation information in clutter suppression, improved moving target detection performance can be obtained by the polarisation-space-time adaptive processing (P-STAP). In this study, the performance of P-STAP for airborne-phased array radar is analysed. The polarised signal model of airborne-phased array radar is firstly established and then clutter suppression principle of P-STAP is derived in detailed. Afterwards, the performance of P-STAP is investigated and compared with conventional STAP in ambiguous clutter environment. It is verified that the P-STAP can outperform the conventional STAP for slow moving target detection by three-domain joint processing, especially for ambiguous and non-broadside clutter environment for airborne-phased array radar. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Space time adaptive processing

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FPGA implementation of SAR bi-channel synthesis based on inverse filtering 5

FPGA implementation of SAR bi-channel synthesis based on inv...

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IET International Radar Conference 2020, IET IRC 2020

作者： Shao, Xin Shi, Hao Chen, Liang Zhang, Na 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 Beijing Institute of Technology Chongqing Innovation Center Chongqing China

ISBN: (纸本)9781839535635

In a multi-channel synthetic aperture radar (MSAR) system, non-uniform azimuth sampling is an important factor affecting imaging. If it is not processed and then imaged directly, it will inevitably lead to deterioration of imaging performance. The channel synthesis algorithm based on inverse filtering is a method to solve this problem. However, in actual applications, it is necessary to perform specific optimization processing on the algorithm to meet real-time requirements. This paper designs a new architecture for efficient implementation of channel synthesis algorithms. The design makes full use of the parallel characteristics of FPGA to improve the speed of the algorithm. By optimizing the DDR read-write control logic, the data transfer rate is improved. Finally, the Modelsim software is used to obtain the simulation results. At 150 MHz, the processing speed could reach 461.6MSamples/s (64bit/sample). © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Data transfer

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Analysis of the Impact of Geosynchronous Satellite Motion on Vehicle-borne SAR Imaging

Analysis of the Impact of Geosynchronous Satellite Motion on...

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2024 IEEE International Conference on Control Science and Systems Engineering, ICCSSE 2024

作者： Ma, Tengyu Chen, Zhiyang Li, Yuanhao Hu, Cheng Beijing Key Laboratory of Real-Time Information Processing Technology of Embedded Beijing100081 China School of Information and Electronic Beijing Institute of Technology Beijing100081 China Advanced Technology Research Institute Beijing Institute of Technology Jinan250300 China

ISBN: (纸本)9798331517199

Vehicle-borne synthetic aperture radar (SAR) has the advantages of flexible configuration, convenient deployment, and long endurance, making it an effective means for high-resolution imaging of space targets such as geosynchronous (GEO) satellites. Due to the long distance between the SAR platform and the GEO satellite, it requires extremely long synthetic aperture time to achieve high-resolution imaging. In this case, GEO satellite motion cannot be ignored, which causes defocusing in SAR imaging. To address this issue, this paper derived an accurate slant range model between the GEO satellite and the vehicle-borne SAR platform. Based on this, the impact of GEO satellite motion on SAR imaging and the impact boundary are analyzed. The accuracy of the slant range model and the impact boundary is verified through simulation. © 2024 IEEE.

关键词： GEO satellite motion error analysis vehicle-borne SAR

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Adaptive signal suppression based on modified PCA for a single-point radiation source in radar networks

Adaptive signal suppression based on modified PCA for a sing...

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IET International Radar Conference 2018, IRC 2018

作者： Miao, Yingjie Liu, Feifeng Tian, Lun Liu, Quanhua 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

In order to realise effective target detection with a large baseline radar network interfered by a single radiation source, an adaptive processing method derived from traditional principal component analysis (PCA) and array signal processing theory is proposed in this study. First, the signal model for target detection with a large baseline radar system in an interference environment is established. Second, based on the characteristics of the signal model, an adaptive suppression method composed of high-precision delay alignment and modified PCA is proposed. Finally, the effectiveness of the method in a typical environment is verified by simulation. The results show that this method can accumulate target energy effectively and realise reliable detection in such case, which has great application prospects. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Principal component analysis

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A modified SPECAN algorithm based on Chirp Scaling principle

A modified SPECAN algorithm based on Chirp Scaling principle

引用

IET International Radar Conference 2015

作者： Zhou, Zhichao Yang, Wenfu Feng, Dongbo Ding, Zegang Zeng, Tao Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing100081 China China Academy of Launch Vehicle Technology Beijing100076 China

ISBN: (纸本)9781849199940

When synthetic aperture radar (SAR) works at the squint mode with a large grazing angle, the range walk varies obviously with the slant range. The traditional SPECAN algorithm corrects the range walk only based on the central slant range. Thus there are residual range walks at range edges of the swath, which finally leads to the defocus of the image. In order to solve this problem, a modified SPECAN algorithm based on the Chirp Scaling principle is proposed in this paper. First, the received data is multiplied by Chirp Scaling factor in the two-dimension time domain to eliminate the range variation of the range walk. Then the traditional SPECAN algorithm is applied to accomplish the two-dimension focus of the image. Simulation results confirm the validity of the proposed algorithm.

关键词： Synthetic aperture radar

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Robust Adaptive OS-CFAR Detector for Maneuvering Group Target Based on Formation Prior Knowledge 2

Robust Adaptive OS-CFAR Detector for Maneuvering Group Targe...

引用

2nd IEEE International Conference on Signal, information and Data processing, ICSIDP 2024

作者： Shi, Mengxin Jiang, Qi Wang, Rui Beijing Institute of Technology Radar Technology Research Institute School of Information and Electronics Beijing China Beijing Key Laboratory of Real-Time Information Processing Technology of Embedded Beijing China The Advanced Technology Research Institute Beijing Institute of Technology Jinan China

ISBN: (纸本)9798331515669

Detecting the individuals such like the bird flocks or a UAV swarm is a great challenge for radar systems. The lack of prior knowledge about the characteristics of dynamic group targets leads to the performance degradation of conventional detectors. In this study, we present a robust adaptive OS-CFAR detector for maneuvering group targets, leveraging prior knowledge of their formation. The group target's state is updated and predicted using the random matrix approach. The projection length of the group target in the radar beam direction is computed using the predicted information during the group target tracking process. Using the projection length, the number of reference units occupied by the group target within the reference window is determined, and this prior knowledge is applied to update the detection parameters of the OS-CFAR detector. The simulation result shows that the algorithm can update the detection parameters timely and avoid target missed detection. © 2024 IEEE.

关键词： Radar tracking

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Target recognition in synthetic aperture radar image based on PCANet

Target recognition in synthetic aperture radar image based o...

引用

IET International Radar Conference 2018, IRC 2018

作者： Qi, Baogui Jing, Haitao Chen, He Zhuang, Yin Yue, Zhuo Wang, Chonglei Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China Shanghai Institute of Satellite Engineering Shanghai200240 China

Automatic targets recognition (ATR) for synthetic aperture radar (SAR) image is very important. ATR can be used in traffic management, national frontier safety, and so on. Traditional algorithms for SAR ATR is composed of extraction features and training classifier. The features are essential for the classification accuracy. However, choosing good features by hand is a hard task. The deep convolutional neural networks (CNNs) which can learn features automatically have got a great performance in natural images. However, the CNNs have many parameters and need a lot of data to train such networks. The remote-sensing data of SAR is limited. Then, the authors need a simple network which needs not much data and easy to train. The principal component analysis network (PCANet) is a shallow network that performs well in the recognition task and needs no hand features choosing. Though this network has produced a wide application in the natural images, it is rarely used in the SAR images. The experimental result of the moving and stationary target acquisition and recognition (MSTAR) dataset shows that the PCANet can achieve over 99% accuracy on ten-class targets. This result is better than traditional algorithms and is very close to the results of deep-learning methods. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Principal component analysis

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Improved multiple hypothesis tracking using incomplete measurements for group targets 2

Improved multiple hypothesis tracking using incomplete measu...

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2nd IEEE International Conference on Signal, information and Data processing, ICSIDP 2024

作者： Ni, Na Jiang, Qi Hu, Cheng Beijing Institute of Technology Radar Technology Research Institute School of Information and Electronics Beijing China Beijing Key Laboratory of Real-Time Information Processing Technology of Embedded Beijing China Beijing Institute of Technology The Advanced Technology Research Institute Jinan China

ISBN: (纸本)9798331515669

Tracking targets within a group has received much attention in the radar field recently years. Group targets are usually closely spaced with similar velocity, making it hard to distinguish multiple targets. For precise target tracking, the tracking radar usually employs a narrow beam to achieve the high range-angular resolution. However, targets may enter and exit the narrow beam frequently during the observation, bringing difficulty for stable tracking. Moreover, it is also hard to distinguish different targets when their tracks intersect on the range-doppler plane. These kinds of incomplete measurements increase the difficulty of group targets' association and tracking. Therefore, this paper proposes an improved multiple hypothesis tracking method using incomplete measurements. The adaptive detection probability model and track intersecting probability are combined in the multiple hypothesis tracking framework to reduce false associations and improve tracking performance. Finally, simulation and experiment results verified the effectiveness of the proposed method. © 2024 IEEE.

关键词： Target tracking

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