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

作者： Ce Wang Shanqing HU Xingming LI Yingying Chen Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of technology Beijing Racobit Electronic Information Technology Co. Ltd

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

The modern communication and radar systems has been faced with the constraint of size, weight and power (SWaP), and this also goes for their front-end acquisition systems. Currently, the AD9361 RF transceiver has been gradually employed due to its low cost and low power. However, its internal PLL mode can't support the fast frequency hopping because its time-cost calibration period, and also it doesn't support the multi-channel RF synchronization. Therefore, the AD9361 is unsuitable for some applications with severe requirements on phase and frequency hopping speed. In this paper, we proposed a fast frequency hopping technique by employing configurable external oscillator, and proposed a multi-channel phase synchronization technique based on phase pre-calibration. The techniques are validated on a 16-channel AD9361 acquisition system and the result show the design provides a reference for system design under the SWaP constraint.

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Face Image Super-Resolution via Sparse Representation and Local Texture Constraints 15th

Face Image Super-Resolution via Sparse Representation and Lo...

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15th International Conference on Intelligent Computing, ICIC 2019

作者： Wang, Bao-Cheng Li, Bo School of Computer Science of Technology Wuhan University of Science of Technology WuhanHubei430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System WuhanHubei430065 China

ISBN: (纸本)9783030267629

In order to solve the problem brought by low-resolution images and to make better use of low-resolution images, this paper proposed a face super-resolution image reconstruction method based on sparse representation and local texture constraints. In the proposed method, sparse representation is used to reconstruct the super-resolution of face image. Moreover, the local texture of the reconstructed image is also used twice before and after reconstruction as constraints to obtain better details and make the reconstructed face image clearer. Experimental results show that this method can effectively reconstruct the corresponding high-resolution images from low-resolution images. © 2019, Springer Nature Switzerland AG.

关键词： Image reconstruction

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A Balanced Cost Fault-Tolerant Scheduling Algorithm in Heterogeneous real-time Systems

A Balanced Cost Fault-Tolerant Scheduling Algorithm in Heter...

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IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Jing Liu Yifu Zhang Yang Liu Pei Yang Cen Chen Ziqi Zhu Zeng Zeng College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China Institute for Infocomm Research Singapore

ISBN: (纸本)9781728176499;9781728176505

High reliability is required for many safety-critical and real-time applications. It is difficult to avoid permanent faults during the executing process of tasks. Once such faults are not processed in time, real-time tasks cannot be completed within the specified time, which may lead to catastrophic consequences. In order to deal with the problem of permanent fault tolerance in heterogeneous real-time systems, in this paper, we propose a balanced cost fault-tolerant scheduling algorithm. First, the algorithm uses the task computation time and the average communication time of its successor nodes as the ranking factors when calculating task priority, so that the priority of the task with larger average communication time improved; second, a task cost table is established, and tasks are allocated to appropriate processors according to the values in the task cost table in processor allocation stage. Experimental results show that the proposed algorithm can effectively improve the system reliability and reduce the completion time.

关键词： Fault tolerance Program processors Scheduling algorithms High performance computing Conferences Fault tolerant systems real-time systems

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Experiment and Results of bistatic UAV SAR

Experiment and Results of bistatic UAV SAR

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

作者： Meng Ke Youwang Chen Yong Li Linghao Li Feifeng Liu Zegang Ding School of information and Electronics Beijing Institute of Technolog Beijing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

This paper introduces the bistatic UAV SAR experiment conducted in June 2018. The UAV platforms have limited load and space, which is a great challenge for synchronization. To meet the requirement, a very small atomic clock and direct signal were used for synchronization in this experiment. The imaging results proved the feasibility of this synchronization scheme.

关键词： experiment bistatic UAV SAR synchronization

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Early Detection of Forest Fire Based on Unmaned Aerial Vehicle Platform

Early Detection of Forest Fire Based on Unmaned Aerial Vehic...

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

作者： Xingsha Yang Linbo Tang Hongshuo Wang Xinxin He Beijing Key Laboratory of Embedded Real-time Information Processing Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

As a kind of natural resources, forest is vital to our survival. Once the fire happening in forest is not found in time, it can cause a huge loss. Accurate real-time monitoring of forest fires is not only an important part of forest fire prevention, but also an important means to effectively control the spread of forest fires and reduce economic losses. Forest areas are often geographically widely distributed and inefficient in manual inspections. Therefore, we need a highly mobile early forest fire warning system to ensure the safety of forest resources. UAVs serve as a highly mobile inspection tool to meet inspection requirements of forest fires. Besides, the early flame characteristics are not obvious, and the single source fire detection is easy to false alarm. In view of this, we propose a forest fire detection method that uses optical images to detect smoke and infrared images to detect fire.

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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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Efficient TD3 based path planning of mobile robot in dynamic environments using prioritized experience replay and LSTM

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Scientific reports 2025年第1期15卷 18331页

作者： Yunhan Lin Zhijie Zhang Yijian Tan Hao Fu Huasong Min School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430081 China. Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan 430081 China. Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology Wuhan 430081 China. Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology Wuhan 430081 China. mhuasong@***.

To address the challenges of sample utilization efficiency and managing temporal dependencies, this paper proposes an efficient path planning method for mobile robot in dynamic environments based on an improved twin delayed deep deterministic policy gradient (TD3) algorithm. The proposed method, named PL-TD3, integrates prioritized experience replay (PER) and long short-term memory (LSTM) neural networks, which enhance both sample efficiency and the ability to handle time-series data. To verify the effectiveness of the proposed method, simulation and practical experiments were designed and conducted. In the simulation experiments, both static and dynamic obstacles were included in the test environment, along with experiments to assess generalization capabilities. The algorithm demonstrated superior performance in terms of both execution time and path efficiency. The practical experiments, based on the assumptions from the simulation tests, further confirmed that PL-TD3 has improved the effectiveness and robustness of path planning for mobile robot in dynamic environments.

关键词： Long short-term memory (LSTM ) Path planning in dynamic environment Prioritized experience replay (PER) Reinforcement learning Twin delayed deep deterministic policy gradient (TD3) algorithm

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Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest 15th

Effective Analysis of Hot Spots in Hub Protein Interfaces Ba...

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15th International Conference on Intelligent Computing, ICIC 2019

作者： Lin, Xiaoli Zhou, Fengli Hubei Key Laboratory of Intelligent Information Processing and Real-Time Industrial System School of Computer Science and Technology Wuhan University of Science and Technology Wuhan430065 China Information and Engineering Department of City College Wuhan University of Science and Technology Wuhan430083 China

ISBN: (纸本)9783030269685

In the protein-protein interactions, hub proteins are the key factor to maintain stability of protein-protein interactions and exert the protein biological function. Conventional methods mainly focus on the topological structure and gene expression of hub proteins, while we mainly discuss the hot spots of hub protein interfaces. In order to evaluate the performance of the classification models, the importance of feature variables is analyzed by using the average precision descent curve and the average Gini coefficient descent curve. In addition, the margin box-plot is used to measure the certainty of the classification models. The experimental results show that the error rate of random forest method is lower, and our classification model has higher reliability. © 2019, Springer Nature Switzerland AG.

关键词： Gene expression

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Dual Polarimetric HRRP Sequence Recognition Based on $H/\alpha$ Features

Dual Polarimetric HRRP Sequence Recognition Based on $H/\alp...

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

作者： Liang Zhang Teng Long Yang Li Yanhua Wang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Dual polarimetric high resolution range prole (HRRP) is able to provide polarimetric and high resolution scattering characteristics information of radar target, which are very useful for automatic target recognition (ATR). In this paper, a novel feature extraction method, which combines both polarimetric and high resolution information, is proposed for dual polarimetric HRRP sequence based on H/α decomposition. In this method, the H/α decomposition is applied on HRRP sequence by temporal average instead of traditional spatial average, which retains the full resolution of HRRP data and provides efficient polarimetric characteristics information of target scattering centers. This paper also presents a scattering mechanisms classification method using the extracted H and α features, and analyzes the effect of noise and clutter on the two features as well as classification performance. The application and effectiveness of the proposed method are demonstrated via outfield experiments. Results show that scattering mechanisms and structural components of a volumetric target are recognized over high resolution range cells, and the proposed method is able to provide support for HRRP sequence-based radar ATR.

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Radar Anti-Retransmitted Jamming technology Based on Agility Waveforms

Radar Anti-Retransmitted Jamming Technology Based on Agility...

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

作者： Hongyu Wang Xinkun Yang Yang Li Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

An anti-retransmitted jamming technique is proposed by utilizing phase and frequency-coded waveform techniques. To generate the effective agility waveforms, improved Logistic-Map chaotic sequences generation and optimization algorithm are proposed to obtain sets of orthogonal polyphase codes. The simulated ambiguity function of the agility waveform shows that the agility waveform presents a high resolution in the range domain. The performance of the waveform under different signal-to-interference ratios(SIR) is analyzed. Compared to conventional LFM waveforms, the agility waveform is capable of suppressing the retransmitted jamming effectively, by up to 30dB when the SIR is -5dB.

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