Adaptive Multi-beamforming for Space-based ADS-B

被引:17
作者
Yu, Sunquan [1 ]
Chen, Lihu [1 ]
Li, Songting [1 ]
Zhang, Xiang [1 ]
机构
[1] Natl Univ Def Technol, Coll Aerosp Sci & Engn, Changsha, Hunan, Peoples R China
关键词
ADS-B; Beamforming; Array Antenna; Satellite; ANTENNA;
D O I
10.1017/S0373463318000735
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
We investigate a strategy to address the problem of low aircraft detection probability of space-based Automatic Dependent Surveillance-Broadcast (ADS-B). A nineteen-element hexagonal array and adaptive multi-beamforming method is proposed. This method aims to adjust the beam pattern dynamically to reduce signal collision and enlarge coverage. With the focus on the mission requirement of global aircraft detection by 2020, the appropriate gain and direction of beams are studied and designed in detail. Theoretical analysis and simulations show that this adaptive multi-beam antenna can greatly improve flight detection probability at an average reporting interval from 10 seconds to 5 seconds when compared with the traditional fixed multi-beam antenna. The results of this work show that the design of a 19-element antenna along with the adaptive multi-beamforming method can be considered as a building block of future space-based ADS-B.
引用
收藏
页码:359 / 374
页数:16
相关论文
共 50 条
  • [41] Research on Laws of Flight Path Error Distribution Based on ADS-B
    Zhang Zhan-bo
    Wang Hong-yong
    Wang Chen
    PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3, 2012, : 1975 - +
  • [42] An ADS-B Trajectory Segmentation Correction Algorithm Based on Improved Kalman Filtering
    Gong, Boyuan
    Li, Wenbo
    Shen, Zhiyuan
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON APPLIED MATHEMATICS, MODELING AND SIMULATION (AMMS 2017), 2017, 153 : 54 - 57
  • [43] Recurrent LSTM-based UAV Trajectory Prediction with ADS-B Information
    Zhang, Yifan
    Jia, Ziye
    Dong, Chao
    Liu, Yuntian
    Zhang, Lei
    Wu, Qihui
    2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), 2022, : 6475 - 6480
  • [44] Actual TDoA-based augmentation system for enhancing cybersecurity in ADS-B
    Elmarady, Ahmed AbdelWahab
    Rahouma, Kamel
    CHINESE JOURNAL OF AERONAUTICS, 2021, 34 (02) : 217 - 228
  • [45] ADS-B and UAV Signal Monitoring System Design Based on Spectrum Sensing
    Wang, Jie
    Song, Dong
    Liang, Runchen
    Han, Pei
    PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019), 2019, : 422 - 426
  • [46] ADS-B anomaly data detection model based on BiGRU-SVDD
    Luo P.
    Wang B.
    Li T.
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2020, 41 (10):
  • [47] An ant colony algorithm model for UAV sense and avoid based on ADS-B
    Yuan M.
    Shi H.
    Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2021, 39 (04): : 761 - 769
  • [48] The Restraining Outlier Method Of Flight Paths Tracking Based On ADS-B System
    Pu Hongping
    Sun Yongkui
    Li Ping
    Qin Kaiyu
    2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 827 - 830
  • [49] Comparison of Machine Learning Based Anomaly Detection Methods for ADS-B System
    Cevik, Nursah
    Akleylek, Sedat
    INFORMATION TECHNOLOGIES AND THEIR APPLICATIONS, PT II, ITTA 2024, 2025, 2226 : 275 - 286
  • [50] ADS-B Ground Station Site Selection Analysis Based on Intelligent Algorithm
    Cao, Bo
    Liu, Wenping
    Li, Biao
    Liu, Kun
    PROCEEDINGS OF 2020 IEEE 2ND INTERNATIONAL CONFERENCE ON CIVIL AVIATION SAFETY AND INFORMATION TECHNOLOGY (ICCASIT), 2020, : 686 - 690