TY - GEN
T1 - Early Detection of GNSS jamming Interference Based on Statistical Test in Receiver Non-satellite Channel
AU - Huang, Yingjie
AU - Xu, Rui
AU - Weng, Duojie
AU - Chen, Wu
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Due to the inherent vulnerability of GNSS and the increasing complexity of the electromagnetic environment in recent years, GNSS signals are facing a growing threat from types of jamming interference. Early detection of GNSS interference is crucial to provide timely warnings before degradation in navigation and positioning functions occurs. This paper presents a novel approach for GNSS jamming interference detection using the statistical analysis, while also the influence of Automatic Gain Control (AGC) on detection is analyzed. By comparing the similarities of mean value derived from signals under normal and potential jamming conditions, hypothesis testing is introduced to detect the presence of jamming. The detection results are evaluated on Continuous Wave (CW), Chirp, and Additive White Gaussian Noise (AWGN) jamming signals by a semi-physical simulation platform. The results demonstrate that the approach exhibits a high detection rate under low JSR conditions.
AB - Due to the inherent vulnerability of GNSS and the increasing complexity of the electromagnetic environment in recent years, GNSS signals are facing a growing threat from types of jamming interference. Early detection of GNSS interference is crucial to provide timely warnings before degradation in navigation and positioning functions occurs. This paper presents a novel approach for GNSS jamming interference detection using the statistical analysis, while also the influence of Automatic Gain Control (AGC) on detection is analyzed. By comparing the similarities of mean value derived from signals under normal and potential jamming conditions, hypothesis testing is introduced to detect the presence of jamming. The detection results are evaluated on Continuous Wave (CW), Chirp, and Additive White Gaussian Noise (AWGN) jamming signals by a semi-physical simulation platform. The results demonstrate that the approach exhibits a high detection rate under low JSR conditions.
KW - GNSS jamming
KW - GNSS SDR
KW - interference detection
KW - intermediate frequency
UR - http://www.scopus.com/inward/record.url?scp=85184990248&partnerID=8YFLogxK
U2 - 10.1109/ISCSIC60498.2023.00040
DO - 10.1109/ISCSIC60498.2023.00040
M3 - Conference article published in proceeding or book
AN - SCOPUS:85184990248
T3 - Proceedings - 2023 7th International Symposium on Computer Science and Intelligent Control, ISCSIC 2023
SP - 151
EP - 154
BT - Proceedings - 2023 7th International Symposium on Computer Science and Intelligent Control, ISCSIC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 7th International Symposium on Computer Science and Intelligent Control, ISCSIC 2023
Y2 - 27 October 2023 through 29 October 2023
ER -