A GNSS Interference Identification and Tracking based on Adaptive Fading Kalman Filter

Abstract A time domain signal tracking algorithm is proposed to estimate the frequency of a chirp type global navigation satellite system (GNSS) interference. The unknown interference frequency of GNSS is estimated by the received signal using properties of trigonometrical functions, but this value has a lot of error caused by measurement noise and the frequency change of the interference. In order to reduce the ierror, an adaptive fading Kalman filter is applied to the proposed algorithm. Furthermore, a low pass differentiator (LPD) and a pattern enhancement algorithm are used to estimate the sweep period of chirp type interference. The performance of the tracking algorithm is verified by comparing to conventional algorithms. By analyzing the results of comparisons, the proposed algorithm has better tracking performance than conventional algorithms when the jammer to signal ratio (J/S) of GNSS interference signal is more than 30dB, which seriously affects the accuracy of the GNSS.

[1]  Todd E. Humphreys,et al.  Signal Characteristics of Civil GPS Jammers , 2011 .

[2]  Hen-Wai Tsao,et al.  A Novel Continuous Wave Interference Detectable Adaptive Notch Filter for GPS Receivers , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[3]  Dimitrios I. Fotiadis,et al.  A Kalman filter based methodology for EEG spike enhancement , 2007, Comput. Methods Programs Biomed..

[4]  Sokol Saliu,et al.  Definition of instantaneous frequency on real signals , 2000, 2000 10th European Signal Processing Conference.

[5]  Daniele Borio,et al.  Two-Pole and Multi-Pole Notch Filters: A Computationally Effective Solution for GNSS Interference Detection and Mitigation , 2007, IEEE Systems Journal.

[6]  Xuemin Shen,et al.  Adaptive fading Kalman filter with an application , 1994, Autom..

[7]  Sun Young Kim,et al.  Detection and Characterization Algorithm of Swept Continuous Wave Interference for Safe GBAS Operation , 2012 .

[8]  Elliott D. Kaplan.  Understanding GPS : principles and applications , 1996 .

[9]  Jin Jiang,et al.  Instantaneous Frequency Estimation Using the ${\rm S}$ -Transform , 2008, IEEE Signal Processing Letters.

[10]  Nam Ik Cho,et al.  Suppression of narrow-band interference in DS-spread spectrum systems using adaptive IIR notch filter , 2002, Signal Process..

[11]  Jang Gyu Lee,et al.  Adaptive Two-Stage Extended Kalman Filter for a Fault-Tolerant INS-GPS Loosely Coupled System , 2009, IEEE Transactions on Aerospace and Electronic Systems.

[12]  P. Laguna,et al.  New algorithm for QT interval analysis in 24-hour Holter ECG: performance and applications , 2006, Medical and Biological Engineering and Computing.

[13]  Boualem Boashash,et al.  Time Frequency Analysis , 2003 .

[14]  양정환.  GNSS Interference Simulator Design for RFI Impact Assessment and Detection Algorithm Development , 2013 .