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7th International Conference on Signal and Image Processing, ICSIP 2022

作者： Zheng, Yiying Cui, Xingchao Wu, Guoqing Chen, Siwei National University of Defense Technology The State Key Lab. of Complex Electromagnetic Environ. Effects on Electronics and Information System Changsha China

ISBN: (数字)9781665495639

ISBN: (纸本)9781665495639

Polarimetric circular synthetic aperture radar (CSAR) can obtain the 360° full-azimuth polarization information of target. Due to the anisotropy of most manmade targets, there are great differences in the polarization scattering characteristics at different observation angles. However, full-aperture processing is the coherent accumulation imaging of the full-azimuth polarimetric data directly, which may result in the failure of obtaining the target's polarization characteristics at each azimuth. Focus on this issue, a polarimetric CSAR imaging method using joint sub-aperture processing is proposed. The proposed method mainly contains three steps. Firstly, the polarimetric data is divided into multiple sub-aperture data since manmade targets usually exhibit scattering anisotropic properly. Then, the sub-aperture images are obtained using the back projection (BP) algorithm. Finally, the joint processing image is obtained via combining the maximum SPAN value among all sub-aperture images. The effectiveness of the proposed method is validated using the simulated data of civilian vehicle. Compared with the full-aperture images, the sub-aperture images achieve better image contrast and lower image entropy. In this vein, the image quality of the polarimetric CSAR from the proposed method is enhanced. © 2022 IEEE.

关键词： Synthetic aperture radar

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Cooperative Local Path Planning for Multi-unmanned Vehicles Formation Using the Enhanced Artificial Potential Field 3rd

Cooperative Local Path Planning for Multi-unmanned Vehicles...

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3rd International Conference on Autonomous Unmanned systems, ICAUS 2023

作者： Zhang, Xin Duan, Xuting Zhou, Jianshan Zhang, Long Opening Project of Key Laboratory of Operation Safety Technology on Transport Vehicles Ministry of Transport PRC Beijing China School of Transportation Science and Engineering Beihang University Beijing China State Key Lab of Intelligent Transportation System Beijing China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beijing China Zhongguancun Laboratory Beijing China National Key Laboratory of Science and Technology on Information System Security Institute of Systems Engineering Beijing China

ISBN: (纸本)9789819711024

An enhanced approach utilizing APF(artificial potential field) method is introduced in this paper. By adopting this approach, the challenge of local minima that may occur when dealing with local path planning for unmanned vehicles is tackled. When the unmanned vehicle approaches an obstacle, a virtual attractive potential field is implemented, utilizing the deviation in the heading angle of the vehicle to control the steering angle. Consequently, the vehicle can avoid obstacles, resolving the issue of local minima and enabling its application in path planning for multi-unmanned vehicles. The ROS with Gazebo simulation platform is used to verify the enhanced algorithm’s effectiveness in multi-unmanned vehicle path planning in an unknown environment. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Motion planning

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Automated Design of Complex Analog Circuits with Multiagent based Reinforcement Learning

Automated Design of Complex Analog Circuits with Multiagent ...

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Design Automation Conference

作者： Jinxin Zhang Jiarui Bao Zhangcheng Huang Xuan Zeng Ye Lu State Key Lab. of ASIC & System School of Information Science and Technology Frontier Institute of Chip and System State Key Lab. of ASIC & System Microelectronics Department Fudan University Shanghai China

Despite the effort of analog circuit design automation, currently complex analog circuit design still requires extensive manual iterations, making it lab.r intensive and time-consuming. Recently, reinforcement learning (RL) algorithms have been demonstrated successfully for the analog circuit design optimization. However, a robust and highly efficient RL method to design analog circuits with complex design space has not been fully explored yet. In this work, inspired by multiagent planning theory as well as human expert design practice, we propose a multiagent based RL (MA-RL) framework to tackle this issue. Particularly, we (i) partition the complex analog circuits into several sub-blocks based on topology information and effectively reduce the complexity of design search space; (ii) leverage MA-RL for the circuit optimization, where each agent corresponds to a single sub-block, and the interactions between agents delicately mimic the best design tradeoffs between circuit sub-blocks by human experts; (iii) introduce the multiagent twin-delayed techniques to further boost training stability and accomplish higher performances. Experiments on two different analog circuit topologies and knowledge transfers between two technology nodes are demonstrated. It’s shown that MA-RL framework can achieve the best FoM for complex analog circuits design. This work shines the light for future large scale analog circuit system design automation.

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Snap-through path in a bistable dielectric elastomer actuator

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Applied Mathematics and Mechanics(English Edition) 2022年第8期43卷 1159-1170页

作者： Wenjie SUN Wentao MA Fei ZHANG Wei HONG Bo LI School of Mechanical and Precision Instrument Engineering Xi’an University of TechnologyXi’an710048China State Key Laboratory for Strength and Vibration of Mechanical Structures and School of Aerospace Xi’an Jiaotong UniversityXi’an710049China State Key Laboratory for Manufacturing System Engineering Shaanxi Key Lab for Intelligent RobotsSchool of Mechanical EngineeringXi’an Jiaotong UniversityXi’an710049China Department of Mechanics and Aerospace Engineering Southern University of Science and TechnologyShenzhenGuangdong Province518055China

The dielectric elastomer(DE)has attracted significant attention due to its desired features,including large deformation,fast response,and high energy ***,for a DE actuator(DEA)utilizing a snap-through deformation mode,most existing theoretical models fail to predict its deformation *** paper develops a new finite element method(FEM)based on the three-parameter Gent-Gent model suitable for capturing strain-stiffening *** simulation results are verified by experiments,indicating that the FEM can accurately characterize the snap-through path of a *** method proposed in this paper provides theoretical guidance and inspiration for designing and applying DEs and bistable electroactive actuators.

关键词： dielectric elastomer actuator(DEA) snap-through bistable finite element method(FEM) strain-stiffening behavior

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Pulse Signal Denoising Method Based on Frequency Domain Wavelet Transform

Pulse Signal Denoising Method Based on Frequency Domain Wave...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Liu, Zhao Ruan, Guangxin Liu, Zheng National University of Defense Technology State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology Changsha China

ISBN: (纸本)9781665452366

Bandpass filtering and time-domain wavelet threshold denoising methods do not perform well in pulse signal denoising, which are not effective for Specific Emitter Identification (SEI). Base on this problem, we propose a frequency-domain wavelet threshold denoising method, and improve the threshold estimation method as well as threshold function. Simulation results show that the proposed method is more superior than traditional methods in restoring the envelope and instantaneous frequency of the single-frequency pulse signals, which proves that our method has the potential to improve the accuracy of SEI. © 2022 IEEE.

关键词： Wavelet transforms

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Recognition of Continuous Phase Modulation Signals Based on Synchrosqueezing Wavelet Transform

Recognition of Continuous Phase Modulation Signals Based on ...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Ruan, Guangxin Zhao, Liu Liu, Zheng College of Electronic Science and Technology National University of Defense Technology State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Changsha China

ISBN: (纸本)9781665452366

We present a new algorithm that can solve the problem of recognition of continuous phase modulation (CPM) signals to phase shift keying (PSK) signals. The algorithm uses synchrosqueezing wavelet transform (SWT) to extract the instantaneous frequency (IF) of the signal. On this basis, a recognition characteristic parameter is proposed. This paper verifies the parameter is suitable for PSK and CPM signals with different modulation parameters. Finally, the simulation shows that the algorithm can fully recognize CPM signals to BPSK and QPSK signals when signal-to-noise ratio (snr) is above 6dB. Compared with the existing algorithms, the algorithm proposed in this paper has a higher recognition rate in the low snr environment. © 2022 IEEE.

关键词： Wavelet transforms

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Multi-Temporal PolSAR Image Classification Based on Polarimetric Scattering Tensor Eigenvalue Decomposition and Deep CNN Model

Multi-Temporal PolSAR Image Classification Based on Polarime...

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

作者： Deng, Jun-Wu Li, Hao-Liang Cui, Xing-Chao Chen, Si-Wei National University of Defense Technology The State Key Lab. of Complex Electromagnetic Environ. Effects On Electronics and Information System Changsha410073 China

ISBN: (数字)9781665469722

ISBN: (纸本)9781665469722

Multi-temporal polarimetric synthetic aperture radar (PolSAR) image is an important tool to monitor crops growth and evaluate disaster damage. The multi-temporal PolSAR data has the high dimensional representation. Benefited from the tensor analysis, a three dimensional polarimetric scattering tensor is established. The polarimetric scattering tensor eigenvalue decomposition is proposed to derive the polarimetric features, which are polarimetric tensor entropy, polarimetric tensor alpha angle and polarimetric tensor anisotropy, respectively. Multi-temporal PolSAR image classification is applied to validate the effectiveness of the proposed features. To further improve the classification accuracy, the 1 × 1 convolutional kernel is introduced to learn the inter-temporal information. For the multi-temporal UAVSAR datasets, the proposed method achieves the excellent classification accuracy in the multi-temporal PolSAR image classification. © 2022 IEEE.

关键词： Image classification

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Nanoscale phase management of the 2D/3D heterostructure toward efficient perovskite solar cells

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Science Bulletin 2024年第18期69卷 2853-2861页

作者： Hao Gu Annan Zhu Junmin Xia Wang Li Jiahao Zheng Tao Yang Shengwen Li Nan Zhang Shiliang Mei Yongqing Cai Shi Chen Chao Liang Guichuan Xing Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials EngineeringUniversity of MacaoMacao 999078China State Key Laboratory of Organic Electronics and Information Displays&Institute of Advanced Materials(IAM) Jiangsu National Synergetic Innovation Center for Advanced Materials(SICAM)Nanjing University of Posts&Telecommunications(NUPT)Nanjing 210023China MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter School of PhysicsNational Innovation Platform(Center)for Industry-Education Integration of Energy Storage TechnologyXi’an Jiaotong UniversityXi’an 710049China Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic SystemsHarbin Institute of TechnologyShenzhen 518055China Institute for Electric Light Sources School of Information Science and TechnologyFudan UniversityShanghai 200433China

The stabilization of the formamidinium lead iodide(FAPbI_(3))structure is pivotal for the development of efficient photovoltaic *** two-dimensional(2D)layers to passivate the threedimensional(3D)perovskite is essential for maintaining the a-phase of FAPbI_(3) and enhancing the power conversion efficiency(PCE)of perovskite solar cells(PSCs).However,the role of bulky ligands in the phase management of 2D perovskites,crucial for the stabilization of FAPbI_(3),has not yet been *** this study,we synthesized nanoscale 2D perovskite capping crusts with=1 and 2 Ruddlesden-Popper(RP)perovskite layers,respectively,which form a type-Ⅱ 2D/3D *** heterostructure stabilizes the a-phase of FAPbI_(3),and facilitates ultrafast carrier extraction from the 3D perovskite network to transport contact *** introduced tri-fluorinated ligands to mitigate defects caused by the halide vacancies and uncoordinated Pb^(2+)ions,thereby reducing nonradiative carrier recombination and extending carrier *** films produced were incorporated into PSCs that not only achieved a PCE of 25.39%but also maintained 95%of their initial efficiency after 2000 h of continuous light exposure without *** findings underscore the effectiveness of a phase-pure 2D/3D heterostructure-terminated film in inhibiting phase transitions passivating the iodide anion vacancy defects,facilitating the charge carrier extraction,and boosting the performance of optoelectronic devices.

关键词： Phase-pure 2D perovskite 2D/3D heterostructure Type-II energy alignment Carrier dynamic FAPbI_(3)

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GNSS/IMU Integrated Navigation Methods with NLOS Mitigation 24

GNSS/IMU Integrated Navigation Methods with NLOS Mitigation

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24th COTA International Conference of Transportation Professionals: Resilient, intelligent, Connected, and Lowcarbon Multimodal Transportation, CICTP 2024

作者： Zuo, Yang Duan, Xuting Xia, Haiying Zhou, Jianshan School of Transportation Science and Engineering Beihang Univ. Beijing China State Key Lab of Intelligent Transportation System Beijing China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beijing China Zhongguancun Laboratory Beijing China Key Laboratory of Operation Safety Technology on Transport Vehicles Ministry of Transport Beijing China

ISBN: (数字)9780784485484

ISBN: (纸本)9780784485484

With the development of computer technology, intelligent vehicles have become a popular orientation at present. This paper provides a solution for the traditional GNSS/IMU integrated navigation to mitigate the influence of non-line-of-sight (NLOS) environments and achieve high-precision navigation. The LOS/NLOS switching is treated as a transition in a Markov chain, and the DIMM filtering is applied to obtain GNSS-filtered data free from the influence of NLOS. GNSS/IMU integrated navigation is loose coupling in that the method combines IMU information with processed GNSS measurement using the ESKF (Error-state Kalman Filter) to achieve accurate target tracking and positioning by utilizing the state difference as the state variable. Simulation results demonstrate that the proposed method significantly improves tracking and positioning accuracy by effectively mitigating NLOS effects compared to traditional methods. This research provides an effective solution for real-world autonomous vehicle navigation systems and optimizes the city driving experience. © ASCE.

关键词： Markov chains

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Periodically-coded ITR Modulation Characteristics of PCM Signal in Radar Radiation Simulation

Periodically-coded ITR Modulation Characteristics of PCM Sig...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Zhao, Tiehua Wu, Qihua Liu, Xiaobin Ai, Xiaofeng Zhao, Feng Xiao, Shunping National University of Defense Technology The State Key Lab. of Complex Electromagnetic Environ. Effects on Electronics and Information System College of Electronic Science and Technology Changsha China

ISBN: (纸本)9781665452366

The overlapping and mutual coupling between transmitting and receiving signals is a knotty problem in radar radiation simulation. Interrupted transmitting and receiving (ITR) modulation can effectively solve this problem caused by limited space of the microwave chamber. In order to further expand the application of ITR modulation method, the characteristics of periodically-coded interrupted modulation signals are analyzed in this paper. Focusing on the modulated pulse coded modulation (PCM) signal, the time-frequency domain characteristics and matched filter output characteristics are studied in detail. Signal simulation experiments are carried out with MATlab.to verify the accuracy of the theoretical analysis. © 2022 IEEE.

关键词： MATlab

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