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Research on parallel architecture design of radar real-time signal processing based on CPU-GPU heterogeneous platform 5

Research on parallel architecture design of radar real-time ...

引用

IET International Radar Conference 2020, IET IRC 2020

作者： Dong, Henan Zheng, Cheng Tian, Weiming 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

ISBN: (纸本)9781839535635

in view of the central processing unit (CPU) platform processing performance limits on computationally intensive tasks, as well as the FPGA + DSP[1-3] platform of software and hardware of high coupling and difficult defects, using the graphics processor (GPU) powerful parallel computing power, the CPU and GPU pipeline technology, heterogeneous systems with multithreading, GPU more and more flow, such as strategy, puts forward the real-time signal processing system of the multiple perspectives analysis methods, make full use of the independence between modules and signal processing algorithm concurrency features within the *** experimental results show that, compared with the traditional MATLAB platform, the maximum acceleration ratio based on CPU-GPU heterogeneous platform can reach more than 20000, and the parallel architecture designed can fully meet the real-time requirements of radar signal processing. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Graphics processing unit

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Accurate slant range model in ground-based radar imaging of the lunar 5

Accurate slant range model in ground-based radar imaging of ...

引用

IET International Radar Conference 2020, IET IRC 2020

作者： Liu, Siyuan Ding, Zegang Li, Gen Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China The Beijing Institute of Technology Chongqing Innovation Center Chongqing China

ISBN: (纸本)9781839535635

Ground-based radar imaging is an important approach for lunar observation. However, due to the long round-trip time delay and long integration time, the invalidation of "stop-and-go" hypothesis presents challenge to the radar imaging algorithms. In this paper, firstly, the accurate ephemeris of large-scale lunar surface is created based on the coordinate transformations. Secondly, considering the error of "stop-and-go" hypothesis, the accurate slant range model between the ground-based radar and lunar surface is presented. Finally, the simulation results are presented to verify the correctness of the ephemeris calculation, and demonstrate the slant range difference caused by the "stop-and-go" hypothesis. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Radar imaging

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real-time Implementation of Phased Array Radar Tracking Algorithm Based on embedded GPU

Real-time Implementation of Phased Array Radar Tracking Algo...

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Delin Fang Ruiqi Lin Ningyuan Chang Youwang Chen Weiming Tian Yunkai Deng Radar Technology Research Institute Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Realtime Information Processing Technology Radar Technology Beijing China School of Information and Electronic Beijing Institute of Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China Advanced Technology Research Institute Beijing Institute of Technology Jinan China

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

The embedded Graphics processing Unit (GPU) module, which includes both Central processing Unit (CPU) and GPU processors, can be easily integrated into radar systems, offering high performance and flexibility. Phased array radar tracking algorithm involves numerous modules with poor parallelism between them, leading to significant data blocking issues during sequential execution. Traditional implementations using CPUs or DSPs are time-consuming and inefficient. To address this problem, this paper proposes a real-time implementation solution based on embedded GPU. The solution decouples logic-intensive and computation-intensive tasks in the algorithm and maps them separately to the CPU and GPU within the embedded GPU module. Then three-level hybrid parallel processing method is adopted, which is based on grid-stride-based intra-kernel thread parallelism, CUDA stream asynchronous parallelism and CPU thread parallelism in order to realize real-time processing of radar echo data. Verification experiment using real measured data indicates that the proposed real-time implementation solution achieves significant acceleration with no loss of accuracy on the Jetson AGX Xavier embedded GPU platform, markedly improving tracking efficiency.

关键词： Phased arrays Instruction sets Graphics processing units Radar Parallel processing Radar tracking real-time systems Loss measurement Central processing Unit Arrays

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Improved Clutter Suppression Method for Bridge Vibration Measurement Based on GB-MIMO Radar

Improved Clutter Suppression Method for Bridge Vibration Mea...

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Jiake Gao Jian Wang Siqi Wang Xinran Qu Wenyu Li Yunkai Deng Radar Technology Research Institute Bejing Institute of Technology Beijing China Corporation Limited of CSCEC Beijing Building Research Institute Beijing China Beijing Key Laboratory of Embedded Realtime Information Processing Technology Radar Technology Beijing China Chongqing Innovation Center Beijing Institute of Technology China

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

Ground based multi-input multi-output (GB-MIMO) radar has been gradually applied in the field of bridge vibration monitoring. During measurement, the interference of static clutter on the vibrating target signal in the same azimuth and range resolution severely affects the vibration measurement. The traditional method of removing static clutter is to estimate static clutter by fitting a circular curve to a complex signal point set, that is, fitting the vector of the circular curve center deviating from the origin of the polar coordinate system. Due to the clustered distribution of vibration points during non vibration time, the trajectory of complex sequence point sets will be distorted, resulting in poor clutter suppression effect. This article proposes an improved method for measuring the dynamic deflection of bridges by suppressing clutter. Firstly, obtain the vibration time period of the vibration candidate points through time-frequency analysis. Secondly, extract the complex sequence of each pixel during the vibration time period, and use the circular trace fitting method to estimate the stationary clutter. Then, based on outlier degree and outlier rate evaluation indicators, select vibration measurement pixels that can achieve effective clutter suppression. The effectiveness of this method was preliminarily verified by comparing the dynamic deflection curves of millimeter wave radar and laser vibrometer through model bridge experiments. In addition, the method was also validated through a high-speed railway bridge experiment.

关键词： Vibrations Bridges time-frequency analysis Laser radar Structural panels Radar measurements Fitting Vibration measurement Trajectory Clutter

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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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Nonparametric resampling for high-squint synthetic aperture radar imaging 5

Nonparametric resampling for high-squint synthetic aperture ...

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IET International Radar Conference 2020, IET IRC 2020

作者： Li, Linghao Wang, Yan Ding, Zegang Min, Rui School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology China Beijing Institute of Technology of Chongqing Innovation Center Chongqing China

ISBN: (纸本)9781839535635

Synthetic aperture radar (SAR) image resampling is a key technology for SAR image geometric correction, interferometric and tomographic registration. In some geometry like the high-squint (HS) case, image spectrum will be distorted, folded and therefore, existing resampling methods will fail due to the resulting serious image degradation. To solve this problem, we propose a general nonparametric image resampling method for SAR. The main contribution is the new non-parametric method of morphologically generating image-domain interpolation kernel, which can be theoretically applied for an arbitrary SAR image focused either on slant range plane or ground plane. The presented approach is evaluated by showing resampled image quality improvement via the computer simulations. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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Fast processing Techniques for Ground-Based Differential Interferometric Radar Based on embedded GPU

Fast Processing Techniques for Ground-Based Differential Int...

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Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Jingshuang Qi Jian Wang Xiaoxiao Li Longyue Wang Yunkai Deng Weiming Tian Radar Technology Research Institute Bejing Institute of Technology Beijing China Beijing Building Research Institute Corporation Limited of CSCEC Beijing China Beijing Key Laboratory of Embedded Realtime Information Processing Technology Radar Technology Beijing China Chongqing Innovation Center Beijing Institute of Technology Chongqing China Advanced Technology Research Institute Beijing Institute of Technology Jinan China

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

For ground-based differential interferometric radar systems, aiming at the problems of low operation-speed performance, a rapid processing technology was studied based on embedded GPU. To achieve effective processing of high-speed data streams, an architecture design based on message queues is adopted in this paper, enabling parallel data transmission and processing. Message queue, as an efficient middleware technology, not only ensure reliable data transmission but also enable decoupling of data reception and processing through an asynchronous communication mechanism. This significantly enhances the system's throughput and response speed. To further optimize performance, condition variables are introduced to control the concurrency strategy in the message queue. When there is data to be processed in the message queue, the condition variable wakes up waiting threads to start processing messages; when there is no data to be processed, it suspends the threads. This mechanism ensures the maximization of system resource utilization. Parallel reduction techniques based on shared memory are adopted to achieve rapid selection of persistent scatterer. Shared memory reduces data access times, and the use of parallel reduction techniques is particularly effective when handling large-scale datasets. The results show that for 200 images with dimensions of 634 by 100 pixels, the method presented in this paper improves the processing speed by 16% compared to traditional methods, effectively enhancing the processing efficiency of ground-based differential interferometric radar systems.

关键词： Graphics processing units Radar Radar imaging Throughput Radar signal processing Resource management Reliability Streams Optimization Message systems

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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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Evaluating the Performance to Detecting Topic Shift of Large Language Models: A Study

Evaluating the Performance to Detecting Topic Shift of Large...

引用

6th International Conference on Intelligent Computing and Signal processing (ICSP)

作者： Pingfang Tian Deting Liu Department of Computer Science and Technology Wuhan University of Science and Technology Wuhan China The Key Laboratory of the Rich Media Knowledge Organisation and Service of Digital Publishing Content Institute of Scientific and Technical Information of China Beijing China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China Big Data Science and Engineering Research Institute Wuhan University of Science and Technology Wuhan China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

Topic shift detection aims to identify whether there is a change in the current topic of conversation or if a change is needed. The study found previous work did not evaluate the performance of large language models like ChatGPT on the task of topic shift. Therefore, this paper's main task and innovation lie in analyzing ChatGPT's performance on topic shift detection. To provide a more comprehensive evaluation, we conducted topic shift detection tasks on ChatGPT from three aspects: single utterances, adjacent utterances, and contextual levels. Additionally, to gauge the performance of large language models, we conducted experiments on multiple small-scale models and compared the results of the two models. Experimental results on the publicly available English TIAGE dataset showed that small-scale models exhibited lower recall in all three aspects, while ChatGPT performed better in the recall. This suggests that compared to small-scale models, large models are more capable of accurately detecting topic shifts. However, large models also exhibited lower precision, indicating that while ChatGPT can recognize content differences in utterances, its judgment on whether these different contents belong to the same topic is poor.

关键词： Technological innovation Large language models Oral communication Signal processing Chatbots Context modeling

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Towards DDIs Identification by Knowledge Graph with BiRW and Back Aggregation

Towards DDIs Identification by Knowledge Graph with BiRW and...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Zhuang Yin Xiaoli Lin Xiaolong Zhang Hubei Key Laboratory of Intelligent Information Processing and Real-time Industrial System School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China

ISBN: (数字)9781665468190

ISBN: (纸本)9781665468206

Effective identification of potential drug-drug interactions (DDIs) can prevent adverse effects caused by DDIs to a certain extent. This paper proposes the new hybrid method for predicting DDIs, which is called BiRW-KGBAN that combines bidirectional random walk and back aggregation based on knowledge graph. BiRW-KGBAN first constructs two knowledge graph KG-DrugBank and KG-KEGG that integrate data related to drugs. Then, an improved sampling method based on bidirectional random walk (BiRW) is used to sample the neighborhood information of drugs, including directly connected entities, related semantic relations and potential information. In addition, the path with drug as the center node is also extracted. Finally, two improved back aggregation model KGBAN1 and KGBAN2 are used to obtain the final embedded representation of the drugs. The experiments show that, compared with other existing methods, our method could obtain the higher-order topological information and the deeper potential neighborhood information of drugs, and has great improvements in DDIs prediction. The case study also shows that the proposed method has the potential for actual DDIs prediction.

关键词： Drugs Correlation Biological system modeling Semantics Medical treatment Sampling methods Bioinformatics

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