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Neural Networks, Information and Communication Engineering (NNICE), International Conference on

作者： Qiang Liu Kunlai Xiong Fucheng Guo Tao Xu 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

Frequency diverse array(FDA) offer potential applications for enhancing the RF safety performance of FDA systems. This is due to the time-varying angle-distance coupling characteristics of the transmit beam map, which are caused by small frequency shifts between subarray elements. In this paper, we investigate the impact of coherent FDA signals on amplitude-based direction-finding systems, taking the Watson-Watt direction-finding system as an example. Firstly, we establish receiving model for direction finding of FDA signals. Secondly, we evaluate the error of the direction-finding system when using coherent FDA signals and analyze it with the Cramér-Rao lower bound(CRLB). Finally, we conduct a simulation analysis to validate the proposed theory. Both the theoretical analysis and simulation results demonstrate that coherent FDA signals can improve the radio frequency(RF) stealth performance. Specifically, the analysis and simulation results reveal that coherent FDA signals exhibit superior low-intercept performance for the Watson-Watt direction-finding system. These findings can be applied to all amplitude direction-finding systems.

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An ISAR Image Reconstruction Method via Signal Support Reweighted l1 Minimization

An ISAR Image Reconstruction Method via Signal Support Rewei...

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Signal, Information and Data Processing (ICSIDP), IEEE International Conference on

作者： Tiehua Zhao Qihua Wu Zhiming Xu Xiaofeng Ai Feng Zhao Shunping Xiao 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: (数字)9798331515669

ISBN: (纸本)9798331515676

The sparse aperture caused by data loss or unintentional interference is the actual problem in radar imaging process. Therefore, a compressed sensing (CS) based ISAR image reconstruction method with signal support aided is proposed in this paper. Firstly, the signal support is constructed from FFT-based imaging results. Then the signal support is introduced as a prior information into the reweighted function during the CS reconstruction. The simulation results show that, when the azimuth effective aperture ratio is as low as 30 % and signal-to-noise ratio (SNR) equals to -10 dB, the proposed method can obtain clear imaging results like that of complete aperture data. Besides, compared with the traditional CS reconstruction method, the number of false points in the reconstruction results by proposed method is greatly reduced.

关键词： Simulation Matching pursuit algorithms Imaging Radar imaging Apertures Reconstruction algorithms Minimization Sensors Image reconstruction Signal to noise ratio

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A dynamic planning method for satellite imaging mission based on improved genetic algorithm

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Applied Mathematics and Nonlinear sciences 2024年第1期9卷

作者： Zhao, Demin Xiong, Wei Wang, Yiran Science and Technology on Complex Electronic System Simulation Laboratory University of Aerospace Engineering Beijing100000 China DFH Satellite CO. Ltd. Beijing100080 China

The ongoing enhancement of imaging satellite platforms in terms of payload capacity, coupled with the proliferation of imaging satellites, introduces new complexities to the mission planning processes. These enhancements enable broader applications and significantly increase the societal benefits derived from imaging satellites. To address these challenges, a specific kinematic model for dynamic imaging attitudes is constructed, taking into account the dynamics of satellite imaging missions. This model uses information from satellite imaging observation tasks to design constraints that govern the planning of imaging tasks. Additionally, an optimization objective function is established to ensure compliance with these planning constraints. Building on the encoding method for relative imaging moments, an adaptive genetic algorithm tailored for satellite imaging task planning is introduced. This algorithm enhances the iterative efficiency of decision variables involved in satellite imaging tasks. Empirical validation through comparative simulation experiments, using a typical satellite imaging mission as a case study, demonstrates the effectiveness of the adaptive genetic algorithm. In various phases of imaging mission planning, the algorithm achieved a 100% task completion rate. The index function gain was enhanced by 21.47%, and the maximum synthetic angular velocity of attitude maneuvers between different targets peaked at the satellite's maneuvering threshold of 7 degrees per second. By leveraging adaptive genetic algorithms, satellite imaging mission planning can optimize mission completion rates and effectively utilize the satellite's maximum attitude maneuver capabilities. © 2024 Demin Zhao et al., published by Sciendo.

关键词： Satellites

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Conformal Shield: A Novel Adversarial Attack Detection Framework for Automatic Modulation Classification

arXiv

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arXiv 2024年

作者： Wen, Tailai Ke, Da Wang, Xiang Huang, Zhitao State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology National University of Defense Technology Changsha410073 China

Deep learning algorithms have become an essential component in the field of cognitive radio, especially playing a pivotal role in automatic modulation classification. However, Deep learning also present risks and vulnerabilities. Despite their outstanding classification performance, they exhibit fragility when confronted with meticulously crafted adversarial examples, posing potential risks to the reliability of modulation recognition results. Addressing this issue, this letter pioneers the development of an intelligent modulation classification framework based on conformal theory, named the Conformal Shield, aimed at detecting the presence of adversarial examples in unknown signals and assessing the reliability of recognition results. Utilizing conformal mapping from statistical learning theory, introduces a custom-designed Inconsistency Soft-solution Set, enabling multiple validity assessments of the recognition outcomes. Experimental results demonstrate that the Conformal Shield maintains robust detection performance against a variety of typical adversarial sample attacks in the received signals under different perturbation-to-signal power ratio conditions. Copyright © 2024, The Authors. All rights reserved.

关键词： Cognitive radio

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FULLY POLARIZED RADAR TARGET DETECTION AND WAVEFORM OPTIMIZATION UNDER RAINY CONDITION

FULLY POLARIZED RADAR TARGET DETECTION AND WAVEFORM OPTIMIZA...

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IET International Radar Conference 2023, IRC 2023

作者： Li, Xinda Cheng, Xu Ju, Xinjie Wang, Xuesong Li, Jianbing College of Electronic Science and Technology National University of Defense Technology Hunan Changsha410073 China State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System Hunan Changsha410073 China School of Computer Science and Engineering Wuhan Institute of Technology Wuhan430205 China Hubei Key Laboratory of Intelligent Robot Wuhan430205 China

ISBN: (纸本)9781839539954

Polarization and waveform optimization can significantly improve the detection ability of fully polarized radar. However, in practical scenarios, atmospheric particles frequently induce depolarization effects on radar waves, thereby influencing precise target detection, a phenomenon predominantly observed with raindrop particles. This paper establishes a target detection model for fully polarized radar in rainy condition. Subsequently, a joint transceiver iterative optimization algorithm is devised, utilizing the maximum output signal-to-interference plus noise ratio (SINR) of the system as the benchmark, and imposing dual constraints of energy and resemblance on the transmitting waveform. Ultimately, the effectiveness of the proposed method under rainy condition is validated through simulation, and recommendations for engineering applications are provided based on the analysis. © The Institution of Engineering & technology 2023.

关键词： Signal to noise ratio

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Analysis of node importance of satellite network based on triangular motif 23

Analysis of node importance of satellite network based on tr...

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Proceedings of the 2023 International Conference on Communication Network and Machine Learning

作者： Zhongmin Pei Boren Hu Zhangkai Luo Jie Ding Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University China Department of Electronics and Optical Engineering Space Engineering University China

ISBN: (纸本)9798400716683

Motif provides a local high-order substructure angle for the analysis of network structure evolution, which is of great significance for the study of the interaction between satellite network structure and function. Taking the time scrambling null motif in steady state as a reference, the stability analysis of satellite network structure is carried out from the perspective of the local structure of the motif characteristics; define the temporal degree of satellite network, and propose a satellite network node importance analysis method based on the number of node-constructed triangle motifs, and compare the changes of motifs characteristics under the deliberate attack of temporal degree and based on triangle motifs. Simulation experiments are conducted on 46-node GPS constellations containing satellites and ground stations, and it is found that the network with higher initial triangle concentration showed higher stability. In GPS satellite network where the number of node triangle motif is positively correlated with their temporal degree, the attack strategy based on the triangle motif accelerates the attenuation of the triangle subgraph, and the node importance analysis method of the satellite network has higher accuracy.

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Edge-guided image estimation for array Gm-APD Lidar in smoky environment using multi-scale depth images 6

Edge-guided image estimation for array Gm-APD Lidar in smoky...

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6th Optics Young Scientist Summit, OYSS 2023

作者： Zhang, Yinbo Li, Sining Sun, Jianfeng Jiang, Peng Zhang, Hailong Liu, Zhihui Zhu, Yuebing National Key Laboratory of Science and Technology on Tunable Laser Institute of Opto-Electronic Harbin Institute of Technology Heilongjiang Harbin150001 China Zhengzhou Research Institute of Harbin Institute of Technology Henan Zhengzhou450000 China Science and Technology on Complex System Control Intelligent Agent Cooperation Laboratory Beijing100074 China Sichuan Jiuzhou Electrical Group Company Limited Sichuan Mianyang621000 China

ISBN: (纸本)9781510672642

Limited statistical frame number and strong backscatter interference from smoke result in a photon-starved regime, severely limiting the depth imaging capability of array Gm-APD lidar in smoky environment. Here, we propose a depth image estimation algorithm that can significantly improve the integrity of targets in dense smoke environments when signal photons are starved. At the signal level, the algorithm improves the accuracy of extracting signal photons by constructing multi-scale superpixels. At the image level, using edge information of depth images at different scales to guide and fill the original scale depth image achieves efficient noise reduction and improves target integrity. It has been successfully demonstrated under different attenuation lengths and statistical frame numbers. Compared with other state-of-the-art methods, the proposed algorithm has maximum target recovery and structural similarity, especially for the attenuation length (AL) is 3.6 and statistical frame number is 1500 (imaging time is 75ms). This study is of great significance for the fast depth imaging of dynamic targets by array Gm-APD lidar in dense smoke environments. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Optical radar

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Antenna Position and Power Allocation Design for Shared Aperture Sparse Linear Array 10

Antenna Position and Power Allocation Design for Shared Aper...

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10th International Conference on Control, Automation and Information sciences, ICCAIS 2021

作者： Liu, Ruitao Wei, Wenqiang Yu, Xianxiang Lu, Qinghui Cui, Guolong Fang, Xueli Zhang, Lei University of Electronic Science and Technology of China Chengdu China Key Laboratory of Complex Aeronautical System Simulation Beijing China

ISBN: (纸本)9781665440295

This paper considers the joint design of the antenna position and power allocation in a shared aperture sparse phased array. We introduce a new optimization model relying on the minimization of the Peak Sidelobe Levels (PSL) of beampattern under the antenna position constraints, mainlobe constraints and transmit power constraints. In order to tackle the non-convex problem, we resort to a Modified Membrane Algorithm based on P systems (MMAPS) along with its each iteration executed in parallel. Finally, numerical simulations verify the effectiveness of the proposed algorithm. The results highlight that MMAPS can obtain a better beampattern in terms of the PSL in comparison with the available methods. © 2021 IEEE.

关键词： Iterative methods

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DOA Estimation of Distributed mmWave Radar system via Fast Iterative Adaptive Approach 10

DOA Estimation of Distributed mmWave Radar System via Fast I...

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10th International Conference on Control, Automation and Information sciences, ICCAIS 2021

作者： Wei, Wenqiang Liu, Ruitao Yu, Xianxiang Lu, Qinghui Cui, Guolong Fang, Xueli Zhang, Lei University of Electronic Science and Technology of China Chengdu China Key Laboratory of Complex Aeronautical System Simulation Beijing China

ISBN: (纸本)9781665440295

In this paper, we propose a fast algorithm based on iterative adaptive approach to address the DOA estimation for the distributed mmWave radar system under the challenging conditions of a single snapshot and coherent sources. In order to improve angular resolution, let each transmit sensor emit the same signal in time-sharing to construct a large aperture virtual array. We first roughly derive azimuth angles with one mmWave radar using conventional beamforming. Then, resorting to iterative adaptive approach, we search for the accurate DOA estimations within a very small region based on the estimated azimuth to improve computational efficiency and angular resolution. Finally, numerical simulation results are provided to demonstrate superior performance of the proposed algorithm over some counterparts. © 2021 IEEE.

关键词： Computational efficiency

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Target Identity Fusion Method Based on Improved DS Evidence Theory

Target Identity Fusion Method Based on Improved DS Evidence ...

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electronic Information Engineering and Computer technology (EIECT), International Conference on

作者： Yi Wang Desheng Liu Yang Yang Jiatong Liu Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China Space Engineering University Beijing China

Target data detected by multi-sensors often differ from each other due to different sensor performances, resulting in uncertainty of target identity information. Traditional Dempster-Shafer (DS) evidence theory may achieve counter-intuitive outcomes facing evidence conflicts caused by the uncertainty. Aiming for this, a novel target identity fusion method based on improved DS evidence theory is proposed in this paper. Specifically, the method considers the correlation between evidences and the importance of evidences integrally. First, an improved conflict measurement method based on Pearson correlation coefficient matrix is devised to measure the evidence credibility. Next the information volume of evidences is measured by Deng-entropy to indicate the evidence uncertainty. Then the credibility and uncertainty are weighted and combined to modify the basic probability assignment (BPA) of evidences. Ultimately, the modified evidences are fused by Dempster’s combination rule to acquire the final results. Through three numerical analysis examples, this paper demonstrates the superiority of the proposed method over typical previous approaches, which can effectively process evidence conflicts in multi-sensors information fusion.

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