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IET International Radar Conference 2023, IRC 2023

作者： Liu, Zhenyu Liu, Xiaobin Wu, Qihua Zhao, Feng Xu, Zhiming Xiao, Shunping The State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology National University of Defense Technology ChangSha China

ISBN: (纸本)9781839539954

The electronic reconnaissance systems can obtain intelligence information from technical parameters of radiation sources. Then, anti-radiation missiles can be used to destroy radiation sources, seriously threatening the survival of radar systems. To improve radar counter-reconnaissance capability, various waveforms are proposed. Among the waveforms, amplitude coded modulation (ACM) can divide the pulse into many short pulses. The signal sorting may fail so that the signal is difficult to be recognized. Therefore, the ACM signal can improve the counter-reconnaissance performance. However, the signal counter-reconnaissance performance has not been discussed. Thus, the uniform and non- periodic ACM model are proposed in this paper. Time-frequency distribution entropy and intercept probability of ACM signal are utilized to evaluate the counter-reconnaissance performance. Simulations are conducted to verify the accuracy of theoretical analysis. © The Institution of Engineering & technology 2023.

关键词： Signal modulation

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Preliminary Study on the Method of Generating Infrared Image Based on CycleGAN 19th

Preliminary Study on the Method of Generating Infrared Image...

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19th Chinese Intelligent systems Conference, CISC 2023

作者： Sun, Baiping Tong, Jiahui Geng, Huapin Beijing Electromechanical Engineering Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9789819968855

Traditional infrared scene simulation method mainly includes the establishment of 3D geometric model of the target, the establishment of scene radiation model, the relationship mapping between infrared radiation and infrared image gray value and other steps. The whole process is tedious, and contain more calculated parameters. This paper introduce CycleGAN network, draw on its ring network structure and unpaired data or paired data as a training set, realize the advantages of domain image conversion effect, explore the visible light image conversion into corresponding infrared image, solve the problems such as samples in the process of infrared imaging simulation is limited, fidelity is low, and coverage is limited. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Infrared radiation

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Relative navigation method for unmanned aerial vehicles formation using consensus unscented Kalman filter 6

Relative navigation method for unmanned aerial vehicles form...

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6th International Symposium on Autonomous systems, ISAS 2023

作者： Zhuang, Zhixing Gong, Baichun Ding, Xin Hao, Mingrui Chen, Linxiu Nanjing University of Aeronautics and Astronautics Nanjing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9798350316155

A relative navigation method in which the measurement information between aircraft only has distance or angle was proposed to achieve accurate relative navigation between aircraft formations in the global navigation satellite system (GNSS) Denied Environment. In addition, four relative measurement schemes are analyzed. An augmented state is introduced in the relative navigation system model, and the observability analysis of the navigation system is carried out relying on the Lie derivative theory, which gives the limitation of motion: the relative position and velocity of the aircraft cannot be parallel or zero, and a single aircraft cannot keep flying straight. A consensus unscented Kalman filter (CUKF) algorithm is established using the geometric characteristics in flight. The observability of the system state is improved after using the additional constraint. Finally, a standard Monte Carlo simulation system is established, and the system simulation is carried out, which shows that the Observability analysis is verified to be correct, and the algorithm demonstrates high accuracy. © 2023 IEEE.

关键词： Observability

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路面谱随机激励下的轮式发射系统动力学建模与仿真

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Acta Mechanica Sinica 2024年第5期40卷 161-174页

作者：伍根洋芮筱亭王国平江民王勋 Institute of Launch Dynamics Nanjing University of Science and Technology Nanjing 210094 China National Key Laboratory of Complex Multibody System Dynamics Nanjing 210094 China

轮式发射系统行驶动力学建模与仿真是其动力学性能和试验设计的前提和基础,日益提高的轮式发射系统动态性能迫切需要一种快速高效的大型多体系统动力学计算方法。本文采用多体系统传递矩阵法建立了轮式发射系统的动力学模型,给出了相应... 详细信息

轮式发射系统行驶动力学建模与仿真是其动力学性能和试验设计的前提和基础,日益提高的轮式发射系统动态性能迫切需要一种快速高效的大型多体系统动力学计算方法。本文采用多体系统传递矩阵法建立了轮式发射系统的动力学模型,给出了相应的拓扑图和动力学方程,此外,通过快速傅里叶逆变换重构了平行车轮的路面不平度,结合蒙特卡罗方法对随机路面激励下轮式发射系统的动力学特性进行了模拟和讨论分析结果表明,随着路面不平度级别和行驶速度的增加,轮式发射系统的振动加速度幅值越大,在正常车速下,路面激励对车体的影响远大于车速。模态试验和行驶试验验证了动力学建模和仿真的正确性本文可拓展到其他包含概率不确定性的多体系统动力学建模和分析.

关键词：路面不平度行驶速度多体系统动力学加速度幅值路面激励行驶试验随机激励路面谱

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Warship Object Detection in Remote Sensing Images with Improved YOLOv5

Warship Object Detection in Remote Sensing Images with Impro...

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2023 China Automation Congress, CAC 2023

作者： Liu, Caiyuan Li, Yuan Chen, Linxiu Guan, Weili School of Automation Beijing Institute of Technology Beijing100081 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9798350303759

Aiming at the task of detecting ships on the sea surface in remote sensing images, there are a lot of disturbances such as variable object sizes, cloud occlusion, complex image backgrounds, and different ship orientations, etc. In this paper, we propose a ship rotating object detection network based on the improved YOLOv5, which is constructed through the strategies of introducing Swin Transformer as a feature extraction network to enhance the feature extraction performance of the network, introducing a rotating detection head to realize the detection of the rotation angle, and modifying the network loss function to accelerate the convergence of the network. The network finally achieves a 71.7% map on ShipRSImageNet validation set, which is an improvement of 2.4% compared with the original network model. The network proposed in this paper solves the problem that the YOLOv5 algorithm is unable to detect rotating objects, and the network based on the self-attention mechanism is used to further enhance the ability to detect small objects. Finally, a ship object detector that can be used in real remote sensing satellite images is obtained. © 2023 IEEE.

关键词： Feature extraction

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A SHIP DETECTION METHOD BASED ON YOLOV7 IN RANGE-COMPRESSED SAR DATA

A SHIP DETECTION METHOD BASED ON YOLOV7 IN RANGE-COMPRESSED ...

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IET International Radar Conference 2023, IRC 2023

作者： Tan, Xiangdong Leng, Xiangguang Wang, Jin Ji, Kefeng State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology National University of Defense Technology Changsha China

ISBN: (纸本)9781839539954

Synthetic Aperture Radar (SAR) is an exceptionally effective imaging technology capable of acquiring ground information regardless of weather conditions and time of day. SAR finds extensive applications in target detection, tracking, and recognition. Despite its wide imaging coverage and high resolution, ship target detection images face several challenges. The most prominent challenge is that both traditional methods such as constant false alarm rate (CFAR) detection and deep neural network methods require complex and time-consuming imaging processing, including but not limited to range migration correction and pulse compression processes. Consequently, real-time detection becomes arduous, leading to delayed results for subsequent applications such as target monitoring and tracking. To address this issue, this study proposes a novel ship detection method that leverages deep learning techniques along with range-compressed data from SAR images to enhance immediate target perception with a convolutional neural network algorithm. The aim is to improve the accuracy and timeliness of ship detection tasks. Given the limited availability of literature on this subject matter, this paper aims to provide an analysis of the proposed method's effectiveness through experimental results while also discussing future prospects. © The Institution of Engineering & technology 2023.

关键词： Convolutional neural networks

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Outage Analysis of Optimal UAV Cooperation with IRS via Energy Harvesting Enhancement Assisted Computational Offloading

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Computer Modeling in Engineering & sciences 2024年第2期138卷 1885-1905页

作者： Baofeng Ji Ying Wang Weixing Wang Shahid Mumtaz Charalampos Tsimenidis School of Information Engineering Henan University of Science and TechnologyLuoyang471000China Research and Innovation Center of Intelligent System Longmen LaboratoryLuoyang471000China State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System(CEMEE) Luoyang471000China Sustainable Digital Communications and Energy Systems(DIGCOM)Group Nottingham Trent UniversityNottinghamUK

The utilization of mobile edge computing(MEC)for unmanned aerial vehicle(UAV)communication presents a viable solution for achieving high reliability and low latency *** study explores the potential of employing intelligent reflective surfaces(IRS)andUAVs as relay nodes to efficiently offload user computing tasks to theMEC server system ***,the user node accesses the primary user spectrum,while adhering to the constraint of satisfying the primary user peak interference ***,the UAV acquires energy without interrupting the primary user’s regular communication by employing two energy harvesting schemes,namely time switching(TS)and power splitting(PS).The selection of the optimal UAV is based on the maximization of the instantaneous signal-to-noise ***,the analytical expression for the outage probability of the system in Rayleigh channels is derived and *** study investigates the impact of various system parameters,including the number of UAVs,peak interference power,TS,and PS factors,on the system’s outage performance through *** proposed system is also compared to two conventional benchmark schemes:the optimal UAV link transmission and the IRS link *** simulation results validate the theoretical derivation and demonstrate the superiority of the proposed scheme over the benchmark schemes.

关键词： Unmanned aerial vehicle(UAV) intelligent reflective surface(IRS) energy harvesting computational offloading outage probability

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Waveform Design for Pulse Radar Based on Interrupted Coding Modulation

Waveform Design for Pulse Radar Based on Interrupted Coding ...

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IET International Radar Conference 2023, IRC 2023

作者： Liu, Xiaobin Wu, Qihua Gu, Zhaoyu Liu, Zhenyu Zhao, Feng Xiao, Shunping The State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology National University of Defense Technology ChangSha China

ISBN: (纸本)9781839539954

Coding modulation is utilized to design radar waveform to obtain complex properties so that the waveform is difficult to be recognized. However, traditional coding modulation brings high sidelobe in target range profile which makes the detection performance decrease. To solve this problem, the interrupted coding modulation is proposed in this paper based on the interrupted transmitting and receiving. The signal model is provided and the low sidelobe property of range profile is discussed. Constant false-alarm rate (CFAR) is utilized to evaluate the detection performance of interrupted coding modulation waveform. Simulations are conducted to verify the low sidelobe property and detection performance of the proposed waveform. © The Institution of Engineering & technology 2023.

关键词： Signal modulation

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A Many-Objective Anomaly Detection Model for Vehicle Network Based on Federated Learning and Differential Privacy Protection 12th

A Many-Objective Anomaly Detection Model for Vehicle Network...

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12th International Symposium on Intelligence Computation and Applications, ISICA 2021

作者： Fan, Tian Zhang, Zhixia Lan, Yang Cui, Zhihua Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan China

ISBN: (纸本)9789811941085

With the rapid development of Internet of things, vehicle network has become the focus of smart city construction. However, due to the lack of encryption and authentication mechanism, the vehicle network is vulnerable to malicious attacks and intrusion, which poses a threat to the driver’s life safety and data privacy. To solve this problem, this paper proposes a method combining federal learning and differential privacy protection to protect the privacy of drivers. A many-objective anomaly detection model based on Federated learning is constructed. The model optimizes the accuracy, loss, privacy protection degree and communication cost in the federated training model at the same time. The model can obtain better accuracy and privacy protection with less loss and communication cost. The model is solved by many-objective evolutionary algorithm, and some solutions are selected as training parameters, and satisfactory results are obtained. The effectiveness of the proposed method is verified. © 2022, Springer Nature Singapore Pte Ltd.

关键词： Vehicles

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CHARACTERISTICS ANALYSIS OF STEPPED FREQUENCY CHIRP SIGNAL USING UNIFORM INTERRUPTED MODULATION

CHARACTERISTICS ANALYSIS OF STEPPED FREQUENCY CHIRP SIGNAL U...

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IET International Radar Conference 2023, IRC 2023

作者： Zhao, Tiehua Wu, Qihua Xu, Zhiming Zhao, Feng Xiao, Shunping The State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology National University of Defense Technology Changsha China

ISBN: (纸本)9781839539954

The co-modulation is beneficial for increasing the anti-reconnaissance potential of radar waveform. Stepped frequency chirp (SFC) signal has the characteristics of both linear frequency modulation (LFM) signal and stepped-frequency waveform (SFW). Uniform interrupted modulation (UIM) can increase the complexity of the signal in the time domain. Therefore, the characteristics of the SFC signal with UIM are deduced in this paper. First of all, the processing method of the SFC signal is introduced. Then the characteristics of the SFC signal with UIM are analysed emphatically. The high-resolution range profile (HRRP) of the inter-pulse and intra-pulse interrupted modulation are both deduced respectively. It is concluded that the UIM between pulses brings the HRRP of the SFC signal multiple pseudo peaks extending along the range profile. However, there is no pseudo peak in the HRRP of the intra-pulse interruptedly modulated SFC signal. Signal simulation experiments are carried out with MATLAB to verify the accuracy of the theoretical analysis. © The Institution of Engineering & technology 2023.

关键词： Chirp modulation

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