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Design Compact YOLO based Network for Small Target Detection on Infrared Image

Design Compact YOLO based Network for Small Target Detection...

引用

2022 Chinese Automation Congress, CAC 2022

作者： Liu, Shuang Liu, Zhicheng Li, Yuhai Liu, Wancheng Ge, Chenyang Liu, Longjun Xi'an China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin China

ISBN: (纸本)9781665465335

most YOLO object detection neural networks prefer to focus on traditional RGB image, but previous studies rarely consider special YOLO network with compact architecture for infrared image. In this paper, we analyze original YOLO network architecture, and we propose a compact YOLO based network by using different blocks from previous work for small target detection on infrared image. We use small target detection layer, GhostConv convolution, Focus structure, Focal EIOU Loss and soft NMS modules to improve original YOLO network structure, which improves the accuracy and speed of target detection for infrared image. The experimental results show that the accuracy of target detection of original model can be effectively improved by adding the small target detection layer, the Focus structure and the BI-FPN structure. By replacing the GhostConv convolution, the calculation speed is significantly improved. At last, after the model is quantized and deployed with NCNN framework, the object detection speed can reached to 35ms per infrared image. © 2022 IEEE.

关键词： Object detection

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Design an Efficient DNN Inference Framework with PS-PL Synergies in FPGA for Edge Computing

Design an Efficient DNN Inference Framework with PS-PL Syner...

引用

2022 Chinese Automation Congress, CAC 2022

作者： Liu, Wancheng Li, Yuhai Yang, Yining Zhu, Jinyu Liu, Longjun Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin China Xi'an China

ISBN: (纸本)9781665465335

in recent years, Deep Neural Network (DNN) based methods have achieved great success for changing inflexible machine to intelligent and live system. Internet of Things (IoT) applications equipped with DNN in domains such as self-driving, speech processing and video surveillance particular challenges. Since DNNs are memory-/computing- intensive applications, FPGAs are customized to accelerate DNN on edge system due to their low latency and high energy efficiency. However, embedded CPU is usually essential for IoT system and single accelerator of FPGA is hard to gain maximized performance of the whole IoT system. Therefore, we design an efficient DNN inference framework with programming system (PS, e.g., ARM CPU) and programming logic (PL, e.g. FPGA) synergies for intelligent IoT system. Compared with the common IoT system only separately leverages FPGA for DNN accelerating and ARM for other tasks, our framework can make ARM and FPGA jointly accelerate DNN inference from the beginning. Our PS-PL co-design approach can take full advantage of the merits of ARM (control operations) and FPGA (parallel computing operations) for various DNN model accelerating. We implemented our co-design framework on Zynq SoCs. The experimental results show that our framework can achieve maximal 205.9 GOPs/s DNN inference accelerating under 6.2W while it would not affect other CPU tasks running on IoT system. © 2022 IEEE.

关键词： Internet of things

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An Optimal Beamforming Model for Aperture-Level Phased Array Full-Duplex 13

An Optimal Beamforming Model for Aperture-Level Phased Array...

引用

13th International Conference on Microwave and Millimeter Wave technology, ICMMT 2021

作者： Chen, Jiarui Chen, Shunyang Huang, Xiaoguo Zhang, Qi Zhu, Menglei Science And Technology On Communication Information Security Control Laboratory Jiaxing314033 China

ISBN: (纸本)9781665434379

Full-duplex, which aims to simultaneously transmitting and receiving over the same band, together with phased array antennas play fundamental roles in next-generation wireless communication systems. The combination of them, phased array fullduplex, is widely accepted as a promising way for realizing practical full-duplex communications. However, diversified application scenarios and rapidly grown system complexity hinder the development of PAFD. In this work, we present a spatial domain selfinterference suppression method for the implementation of fullduplex in digital phased array architectures. By taking advantage of the flexibility of fully-digital phased array, a novel computation framework is constructed to effectively optimize the transmitting beamforming weights in order to maximize the desired beamforming gains of the transmitting sub-array while simultaneously reducing the self-interference received by receiving sub-array. Our work demonstrates the capability of spatial domain methods in digital phased array and paves the way for practical full-duplex communications. © 2021 IEEE.

关键词： Beamforming

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Reverse Time Migration of Ultra-Wideband Ground-Penetrating Radar Based on Multiple Time-Gating Algorithm

Reverse Time Migration of Ultra-Wideband Ground-Penetrating ...

引用

2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024

作者： Wu, Junjie Li, Haixiao Zhou, Yuanguo Cao, Le Wang, Yan Xi'an University of Science and Technology College of Communication and Information Engineering Xi'an China Xi'an University of Science and Technology College of Electrical and Control Engineering Xi'an China Graduate School of Chinese Aeronautical Establishment Yangzhou China Aviation Key Laboratory of Science and Technology on Electromagnetic Environment Effects Shenyang China National Key Laboratory of Electromagnetic Information Control and Effects Shenyang China

ISBN: (纸本)9798350355581

To address the issue of clutter interference in ground-penetrating radar (GPR) imaging using a VNA (Vector Network Analyzer), this paper improves the traditional reverse time migration (RTM) technique for ultra-wideband GPR imaging. The improved method retains the effective signals in the detection wavefield as the valid imaging area and suppresses signals in non-valid areas. Due to variations in the distance between the transmitting and receiving antennas and the number of anomalies in the experiment, the traditional time window cross-correlation is not ideal for this scenario. The improved method automatically applies reasonable windowing to each data channel, avoiding the simultaneous enhancement of clutter interference and effective signals through direct stacking, and preventing the filtering out of effective signals. Experimental results demonstrate that this method, when applied to real measured data and compared with the traditional cross-correlation RTM method, shows advantages in more accurately locating anomalous areas and suppressing clutter interference. This validates that the Multiple Time-Gating Reverse Time Migration (MTG-RTM) method offers better localization and higher imaging accuracy in practical engineering applications. © 2024 IEEE.

关键词： Receiving antennas

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Federated Deep Q-network: A Dynamic Task Allocation Strategy for UAV-Assisted Cell-Free Networks 4th

Federated Deep Q-network: A Dynamic Task Allocation Strategy...

引用

4th International Conference on Frontiers of Electronics, information and Computation Technologies, ICFEICT 2024

作者： He, Jian Pan, Chunyu Wang, Jincheng Lu, Cunbo Chen, Shuo The Key Laboratory of Information and Communication Systems Ministry of Information Industry and the Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China Information Science Academy of China Electronics Technology Group Corporation Beijing China

ISBN: (纸本)9789819653133

A dynamic resource allocation problem for jointly optimizing access point selection and task offloading is proposed for a mobile edge computing system in an unmanned aerial vehicle (UAV)-assisted cell-free (CF) networks for the purpose of delay reduction in an urban scenario. On the one hand, given that various resources are coupled in the optimization problem, exhibiting non-convex traits and thus cannot be directly separated. On the other hand, to expedite algorithm convergence while ensuring user data security, we propose a method that combines the federated learning (FL) framework with deep reinforcement learning (DRL). Specifically, we introduce a federated deep Q network (F-DQN) algorithm to execute the dynamic resource allocation strategy for the proposed problem. Simulation results show that the proposed algorithm has better convergence performance than traditional Q-learning and deep Q network (DQN), and the proposed strategy has lower system delay with a maximum gain of 60.5% compared to other baseline strategies. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep reinforcement learning

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Modulation technology in Cross-Domain Magnetic Induction communication

Modulation Technology in Cross-Domain Magnetic Induction Com...

引用

IEEE International Conference on Signal Processing, communications and Computing (ICSPCC)

作者： Ruoxue Cheng Xin Zhang Xiaoming Qi Xiaoji Zhang Yizhou Ge School of Marine Science and Technology Northwestern Polytechnical University Xi'an China Control Laboratory Science and Technology on Communication Information Security Jiangxi China

ISBN: (数字)9798350366556

ISBN: (纸本)9798350366563

The research on technology of cross-domain communication, which spans air and sea domains, has been widely concerned. As an emerging cross-domain communication technology, magnetic induction (MI) communication boasts unique advantages such as stable channels, minimal susceptibility to the dynamic ocean environment, and low propagation delay. However, it also has limitations in terms of transmission distance×data rate. In this paper, the modulation technology in cross-domain magnetic induction communication is studied, and the very minimum shift keying (VMSK/2) coding modulation scheme based on direct sequence spread spectrum (DSSS) technology is proposed. VMSK modulation is used to adapt to the severely bandwidth-limited underwater magnetic induction channel, and DSSS technology is used to enhance the detection ability of weak magnetic induction signal, thereby increasing the water entry depth of cross-domain communication. In this paper, the scheme of VMSK/2-DSSS code modulation is given, and the simulation analysis and field trial are carried out. The simulation and lake test results show that compared to magnetic induction communication without DSSS, the VMSK/2-DSSS coding modulation scheme can achieve a greater water entry depth, enabling error-free cross-domain magnetic induction communication at a depth of 40 meters and a data rate of 100bps.

关键词： Underwater communication Bit error rate Modulation Magnetic domains Spread spectrum communication Lakes Encoding Signal detection Magnetic susceptibility Signal to noise ratio

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Research on Privacy Preserving Computing technology in Edge Computing

Research on Privacy Preserving Computing Technology in Edge ...

引用

2023 International Conference on Networking and Network Applications, NaNA 2023

作者： Wang, Yuyao Chen, Lei Ni, Siyuan Yu, Fei He, Yuanhang Fang, Qiang Zhou, Yuzheng Science and Technology on Communication Security Laboratory Chengdu610041 China No.30 Research Institute of China Electronics Technology Group Corporation Chengdu China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798350327380

With the rapid development of mobile Internet and Internet of Things applications, the traditional cloud computing model can provide centralized remote services, but when the amount of data increases sharply, it has been unable to effectively process the data generated by edge devices. To address these challenges and efficiently utilize distributed computing resources, edge computing emerges. With the rise of edge computing, more and more attention has been paid to its security threats and countermeasures. This paper first introduces the basic definition, architectural features, and current security threats of edge computing, then discusses the privacy protection issues in edge computing, and systematically expounds the latest research results at home and abroad. The application of privacy-preserving computing technology in computing, discusses the development trend of edge computing, and proposes further research directions. © 2023 IEEE.

关键词： Edge computing

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Polarization-Space-Time Processing in Mainlobe Blanket Jamming via CP Decomposition 8

Polarization-Space-Time Processing in Mainlobe Blanket Jammi...

引用

8th International Conference on Signal and Image Processing, ICSIP 2023

作者： Pan, Bunian Wang, Bing Dong, Luxin Yao, Xue Yu, Xianxiang Cui, Guolong University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Science and Technology on Electronic Information Control Laboratory Chengdu610036 China Southeast University School of Information Science and Engineering Nanjing211100 China

ISBN: (纸本)9798350397932

This paper deals with the problem of mainlobe jamming suppression for phased-array radar system via a joint polarization-space-time processing method resorting to tensor decomposition. Firstly, a dual-polarization receiving array model is established. Then, base on the polarization-space-time characteristics, CANDECOMP/PARAFAC (CP) decomposition is leveraged to recast the received signals as a third-order tensor consisting of three factor matrices. Further, the target echo and the jamming signal can be obtained via minimizing the Frobenius norm of the approximation error between the factor matrices and their iteration forms. Finally, the effectiveness of the proposed method by numerical simulation is verified, showing its capability to resist mainlobe jamming compared with the art competing method. © 2023 IEEE.

关键词： Numerical methods

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Hybrid Optimization of Target Detection on Embedded Platforms for Real Time Applications 5

Hybrid Optimization of Target Detection on Embedded Platform...

引用

5th IEEE International Conference on Electronics technology, ICET 2022

作者： Zhang, Xinchen Sun, Wangchao Zhao, Yaodong Liao, Kaisheng Liu, Yilin Xu, Hongda Xiao, Zhuoling Yan, Bo University of Electronic Science and Technology of China Science and Technology on Electronic Information Control Laboratory School of Information and Communication Engineering Chengdu China

ISBN: (纸本)9781665485081

Target detection has been widely used in fields such as intelligent security and autonomous driving. However, existing computationally heavy target detection algorithms based on deep learning can only work on GPU and CPU platforms, restricting the applications on edge devices with limited computational power. To address this issue, this paper proposes layer fusion and 16-bit fixed-point quantization on the YOLOv2-Tiny algorithm to reduce the computational complexity of target detection algorithms. Furthermore, the data transmission efficiency is optimized by using ping-pong butter and multi-channel methods. To reduce FPGA resource consumption, the neural network is split into convolution, accumulation, pooling, and address mapping modules. The proposed system has been successfully implemented on the Xilinx Zynq-XC7Z035 platform, using only 47% of BRAM resources and 18% of DSP resources. © 2022 IEEE.

关键词： Deep learning

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Cross-border Magnetic Induction Relay Cooperative communication Scheme Based on Distributed Space-time Coding

Cross-border Magnetic Induction Relay Cooperative Communicat...

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2022 IEEE International Conference on Signal Processing, communications and Computing, ICSPCC 2022

作者： Song, Weixin Zhang, Xin Ge, Yizhou Northwestern Polytechnical University School of Marine Science and Technology Xi'an China NO.36 Research Institute of Cetc Science and Technology On Communication Information Security Control Laboratory Jiaxing China

ISBN: (数字)9781665469722

ISBN: (纸本)9781665469722

The application prospect of air-sea cross-border communication is broad. Magnetic induction (MI) communication can realize two-way cross-border transmission, adapt to complex marine environment and be easy to carry. Therefore, it has unique advantages in cross-border transmission. However, due to the characteristics of near field propagation in magnetic induction communication, the range × data rate performance of magnetic induction communication is severely limited, which is a difficult bottleneck problem to break through. Aiming at this problem, this paper proposes a cross-border magnetic induction relay cooperative communication scheme based on distributed space-time coding. In this scheme, relay nodes are introduced between the transmission and reception of cross-border transmission, and distributed space-time coding (DSTBC) is used on the relay nodes to coordinate the forwarding of each relay node so as to obtain the spatial diversity gain. Using the diversity gain, the underwater communication range of cross-border communication can be extended. Simulation results show that the DSTBC coding scheme can significantly improve the transmission performance of wireless channels. When the system bit error rate is 10-4, compared with the simple forwarding relay system, the code-forwarding system using 2, 3, and 4 relay nodes can obtain about 3 to 6dB of diversity gain. © 2022 IEEE.

关键词： Cooperative communication

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