自动化工程学院
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导师代码: |
20321
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导师姓名: |
郭承军
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性 别: |
男 |
特 称: |
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职 称: |
副研究员
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学 位: |
工学博士学位
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属 性: |
专职 |
电子邮件: |
johnsonguo@uestc.edu.cn
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学术经历:
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个人简介:
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院士秘书,国际大地测量协会GNSS干扰与欺骗工作组成员,中国卫星导航年会分会主席。
长期致力于时空体系与多源融合导航,智能非合作信号处理以及灵巧(自决策、自适应、自作业)整机(多功能、多性能、多组合)架构设计等方向的设计、规划和研究工作。在建立建筑智能态势感知理论与方法、解决动态环境多源融合导航关键技术难题、构建灵巧整机系统全域全时感知体系等方面做出相应的贡献。
主要研究方向:1. 智能态势感知;2. 导航与集群智能;3.灵巧整机架构设计。
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科研项目:
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[1] 基于多传感器融合的电动轮雨雾补盲智能车辅系统研究与示范应用;
[2] 空地协同区域导航增强系统智能终端软件采集显示系统;
[3] 现代化导航信号服务质量异常变化感知与评估技术;
[4] 基于XXX一体化设计技术研究;
[5] GNSS/INS欺骗式干扰技术研究;
[6] W波段高集成有源阵面技术研究;
[7] 异构D群有限信息交互协同DJ引导技术研究术;
[8] 基于生成DK网的异构时M目标信息补齐与重构技术研究;
[9] XX相控阵雷达XXX异形XXX快速标校测试技术;
[10] 星地通信海上多径干扰仿真算法;
[11] 轻量化多信息通信和北斗定位技术;
[12] 通信降级干扰对抗分析与人机混合协同决策控制技术;
[13] 海上电磁频谱评估与占用度预测;
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研究成果:
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2018年至今的主要文章:
[1]. Inversion of PM2.5 atmospheric refractivity profile based on AlexNet model from the perspective of , ,electromagnetic wave propagation Environmental Science and Pollution Research , 2020 : 1-14 (SCI IF:5.8)
[2]. Aida Darvishan; Optimization of critical parameters of PEM fuel cell using TLBO-DE based on Elman neural network Energy Conversion and Management, 2019, 183: 149-158. (SCI IF:10.04)
[3]. Intelligent active fault-tolerant system for multi-source integrated navigation system based on deep neural network, Neural Computing and Applications, 2019, (SCI IF:6.0)
[4]. Analysis and design of an , attitude calculation algorithm based on elman neural network for SINS, Cluster Computing 2018 (SCI IF:4.4)
[5]. Research on multi-constellation GNSS compatible acquisition strategy based on GPU high-performance operation, EURASIP Journal on Wireless Communications and Networking, 2018, 118. (SCI IF:2.455)
[6].End-to-End Powerline Detection Based on Images from UAVs, Remote Sensing, 2023, 15(6), 1570. (SCI IF:5.0)
[7]. Multi-sensor Fusion for Autonomous Deep Space Navigation[C]. ION GNSS 2020, 2020.
[8]. Identification, Attitude Estimation and Capture of Tumbling Spacecraft Based on SLAM[C]. ION GNSS 2020, 2020.
[9]. A fast fault recovery method for formation networks of micro-nano satellites based on maximum lifetime[C]. 2020:5.
[10]. Classification method of 5G satellite network computing tasks based on edge data offloading[C]. 2020:5.
[11]. A GNSS/INS integrated navigation method based on deep learning[C]. IAC 2020.
[12]. Enhanced multi-sensor data fusion method using recurrent neural network[C]. IAC 2020.
[13]. A Novel Self-Learning GNSS/INS Integrated Navigation Method[C].ION GNSS+ 2021.
[14]. GNSS Interference Signal Recognition Based on Deep Learning and Fusion Time-Frequency Features[C].ION GNSS+ 2021.
[15] A Modulation Recognition Method for OFDM based on Compressed Sensing[C]. IAC 2021.
[16] Application of Improved Targeted Detection algorithm in Aerial Remote Sensing Image. IAC 2021.
[17] Research on Video Moving Target Detection Algorithm based on Improved Target Detection Network. IAC 2021.
[18] Depth Image Optimization of Field Environment based on Fusion Filtering. IAC 2021.
[19] Satellite Video Target Tracking Based on Improved YOLOv3 and Deep Sort[C]. ION GNSS+ 2022.
[20] Remote Sensing Image Target Detection Based on Improved Faster R-CNN[C]. ION GNSS+ 2022.
[21] A Robust RF Fingerprint Extraction Scheme for GNSS Spoofing Detection[C]. ION GNSS+ 2023.
[22] An interference detection algorithm for GNSS frequency-hopping signals based on optimized energy and multi-segment spectral clustering[C]. ION GNSS+ 2023.
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专业研究方向:
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专业名称 |
研究领域/方向 |
招生类别 |
081100控制科学与工程 |
01复杂系统与智能信息处理,02新能源系统及控制技术 |
硕士学术学位 |
085406控制工程 |
01复杂系统与智能信息处理,02新能源系统及控制技术 |
硕士专业学位 |
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