The Multi-Station Fusion-Based Radiation Source Localization Method Based on Spectrum Energy

被引:0
|
作者
He, Guojin [1 ]
Hao, Yulong [2 ]
Xie, Yaocong [3 ]
机构
[1] China Res Inst Radiowave Propagat, Qingdao 266107, Peoples R China
[2] Tianjin Univ, Sch Microelect, Tianjin 300072, Peoples R China
[3] Qingdao Univ Technol, Sch Informat & Control Engn, Qingdao 266200, Peoples R China
关键词
spectrum monitoring; frequency band scanning; radiation source localization; signal attenuation;
D O I
10.3390/s25051339
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Today's highly complex and rapidly changing electromagnetic environment places higher demands on the precise localization of illegal radiation sources. In response to this, this paper innovatively proposes a multi-station fusion-based radiation source localization method, which leverages the frequency, field strength, bandwidth, and other characteristic information embedded in frequency band scanning data. The method thoroughly explores the energy characteristics of the detected radiation sources while closely integrating the objective laws of propagation attenuation in electromagnetic space. By employing an advanced, normalized power calculation technique, it successfully achieves high-precision localization of the radiation source. Through rigorous and thorough experimental validation, this method reduces localization errors by 25% and cuts the equivalent radiation power error by 30% compared to traditional localization methods. This achievement provides more reliable and accurate technical support for applications in the electromagnetic field, offering promising prospects for advancing and refining electromagnetic environment monitoring and management technologies.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Fault-Tolerant Fusion Algorithm of Trajectory and Attitude of Spacecraft Based on Multi-Station Measurement Data
    Yang Xiaoyan
    Yu Hui
    Hu Shaolin
    Li Shaomini Xi'an
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (05) : 425 - 430
  • [32] An Earthquake Forecast Model Based on Multi-Station PCA Algorithm
    Liu, Yibin
    Yong, Shanshan
    He, Chunjiu
    Wang, Xin'an
    Bao, Zhenyu
    Xie, Jinhan
    Zhang, Xing
    APPLIED SCIENCES-BASEL, 2022, 12 (07):
  • [33] Fusion-Based Noisy Image Segmentation Method
    Buczkowski, Mateusz
    Saeed, Khalid
    ADVANCED COMPUTING AND SYSTEMS FOR SECURITY, VOL 2, 2016, 396 : 21 - 35
  • [34] A Fusion-Based Dense Crowd Counting Method for Multi-Imaging Systems
    Zhang, Jin
    Ye, Luqin
    Wu, Jiajia
    Sun, Dan
    Wu, Cheng
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2023, 2023
  • [35] Optimal fusion-based localization method for tracking of smartphone user in tall complex buildings
    Jamil, Harun
    Kim, Do-Hyeun
    CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, 2023, 8 (04) : 1104 - 1123
  • [36] AUV multi-source information fusion localization method based on robust factor graph
    Huang Z.
    Chai H.
    Xiang M.
    Du Z.
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2023, 52 (08): : 1278 - 1285
  • [37] Indoor localization method based on pedestrian dead reckoning aided by multi-source fusion
    Liu C.-Y.
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2016, 24 (02): : 208 - 214
  • [38] Data Fusion-Based Extraction Method of Energy Consumption Index for the Ethylene Industry
    Geng, Zhiqiang
    Han, Yongming
    Zhang, Yuanyuan
    Shi, Xiaoyun
    LIFE SYSTEM MODELING AND INTELLIGENT COMPUTING, PT II, 2010, 6329 : 84 - 92
  • [39] A Multi-Station Troposphere Modelling Method Based on Error Compensation Considering the Influence of Height Factor
    Zhao, Qing
    Pan, Shuguo
    Gao, Chengfa
    Qiao, Longlei
    Gao, Wang
    Zhang, Ruicheng
    Liu, Guoliang
    JOURNAL OF NAVIGATION, 2021, 74 (01): : 38 - 59
  • [40] WAIPO: A Fusion-Based Collaborative Indoor Localization System on Smartphones
    Gu, Fei
    Niu, Jianwei
    Duan, Lingjie
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2017, 25 (04) : 2267 - 2280