Interference detection algorithm based on adaptive subspace tracking and RAIM for GNSS receiver
Qiang Wu, Jiansheng Zheng, Zhicheng Dong, Mingkun Su, Hexi Liang, Ping Zhang · IET Radar Sonar & Navigation · 2018
The authors aim at providing an interference detection algorithm for global navigation satellite system (GNSS) receivers based on the adaptive subspace tracking technique and receiver autonomous integrity monitoring (RAIM). A complete framework, including an estimator used to determine the number of interference sources and a method for detecting the interference frequency, is presented in the narrowband interference environment. The estimator, applying both the eigenvalues’ statistic characteristics of sample covariance matrix and the noise level of GNSS receiver, is more accurate than the conventional information theoretic criteria with simulation verification. Furthermore, the proposed subspace tracking algorithm outperforms the current frequency detection algorithms in time–frequency domain, such as short‐time Fourier transform and smooth pseudo‐Wigner‐Ville distribution. The theoretical analysis is verified by the real experiments under a GPS L1 scenario.