TY - GEN
T1 - GNSS Interference Source Location Method Based on Multi-Terminal Detection Information
AU - Hou, Jiuyang
AU - Feng, Tao
AU - Li, Huaijian
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper proposes an algorithm based on the clustering of GNSS terminal location points and the fitting of circles with edge points for the problem of GNSS interference source localization. Based on the existing GNSS interference source localization algorithms, a large number of low-cost GNSS terminals are used. The number and approximate locations of interference sources are determined through clustering. For the non-boundary points of the detection area among the interference boundary points, the least-squares fitting method is used to calculate the center and radius of the circle, and the center of the circle is the estimated location of the interference source. Simulation experiments show that the localization algorithm based on boundary point fitting not only has high calculation accuracy, but also has good applicability to various densities of GNSS terminal points, various distribution forms of GNSS terminals, various interference radii, and various locations of interference sources.
AB - This paper proposes an algorithm based on the clustering of GNSS terminal location points and the fitting of circles with edge points for the problem of GNSS interference source localization. Based on the existing GNSS interference source localization algorithms, a large number of low-cost GNSS terminals are used. The number and approximate locations of interference sources are determined through clustering. For the non-boundary points of the detection area among the interference boundary points, the least-squares fitting method is used to calculate the center and radius of the circle, and the center of the circle is the estimated location of the interference source. Simulation experiments show that the localization algorithm based on boundary point fitting not only has high calculation accuracy, but also has good applicability to various densities of GNSS terminal points, various distribution forms of GNSS terminals, various interference radii, and various locations of interference sources.
KW - Boundary fitting
KW - CH index
KW - Clustering algorithm
KW - Interference source localization
KW - Least-squares method
UR - https://www.scopus.com/pages/publications/105016783024
U2 - 10.1109/IEEECONF65522.2025.11136973
DO - 10.1109/IEEECONF65522.2025.11136973
M3 - Conference contribution
AN - SCOPUS:105016783024
T3 - Proceedings of 2025 IEEE 26th China Conference on System Simulation Technology and its Applications, CCSSTA 2025
SP - 411
EP - 417
BT - Proceedings of 2025 IEEE 26th China Conference on System Simulation Technology and its Applications, CCSSTA 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE China Conference on System Simulation Technology and its Applications, CCSSTA 2025
Y2 - 11 July 2025 through 13 July 2025
ER -