TY - GEN
T1 - Co-Frequency Interference and Suppression of GBAS VDB and VOR/ILS Based on the Fast Independent Component Analysis
AU - He, Ziqi
AU - Wang, Hongxia
AU - Fang, Kun
AU - Li, Xiao
N1 - Publisher Copyright:
© 2025 Proceedings of the International Technical Meeting of The Institute of Navigation, ITM. All rights reserved.
PY - 2025
Y1 - 2025
N2 - A novel improved Fast Independent Component Analysis (Fast ICA) algorithm is proposed to address the issue of co-frequency interference in Ground-Based Augmentation Systems VHF Data Broadcast (GBAS VDB), VHF Omnidirectional Range (VOR), and Instrument Landing System (ILS) systems. First, a compatibility testing scheme for GBAS VDB, VOR, and ILS signals is designed, and experiments are conducted to evaluate the impact of co-frequency interference on reception performance. Next, a blind signal separation algorithm is applied to separate co-frequency interference signals, utilizing an improved third-order convergence Fast ICA algorithm to accelerate the signal separation process and successfully recover the desired signals. Simulation results demonstrate that the improved Fast ICA algorithm achieves faster convergence compared to conventional methods, effectively suppressing co-frequency interference in the VDB received signals.
AB - A novel improved Fast Independent Component Analysis (Fast ICA) algorithm is proposed to address the issue of co-frequency interference in Ground-Based Augmentation Systems VHF Data Broadcast (GBAS VDB), VHF Omnidirectional Range (VOR), and Instrument Landing System (ILS) systems. First, a compatibility testing scheme for GBAS VDB, VOR, and ILS signals is designed, and experiments are conducted to evaluate the impact of co-frequency interference on reception performance. Next, a blind signal separation algorithm is applied to separate co-frequency interference signals, utilizing an improved third-order convergence Fast ICA algorithm to accelerate the signal separation process and successfully recover the desired signals. Simulation results demonstrate that the improved Fast ICA algorithm achieves faster convergence compared to conventional methods, effectively suppressing co-frequency interference in the VDB received signals.
UR - https://www.scopus.com/pages/publications/105001670220
U2 - 10.33012/2025.20017
DO - 10.33012/2025.20017
M3 - 会议稿件
AN - SCOPUS:105001670220
T3 - Proceedings of the International Technical Meeting of The Institute of Navigation, ITM
SP - 542
EP - 553
BT - ION 2025 International Technical Meeting Proceedings
PB - Institute of Navigation
T2 - 2025 International Technical Meeting of The Institute of Navigation, ITM 2025
Y2 - 27 January 2025 through 30 January 2025
ER -