Robust blind space‐time adaptive processing for measurement error mitigation in GNSS receivers

The measurement errors induced by the space-time adaptive processing (STAP) is gaining attention for its significant detriment to precision of global navigation satellite system (GNSS) receiver positioning. To mitigate errors, steering vector (SV) estimation method based on spreading widely employed in error mitigation algorithms. However, hazard SV fluctuation problem ignored these In this paper, specific harm such analysed. alleviate and eliminate as much possible, a robust STAP beamformer GNSS receivers proposed. First, acquire series SVs different integration times, desired signal covariance (DSC) matrix iteratively reconstructed remove disturbance from thermal noise residual jamming signals. Second, replacement formed help guarantee phase linearities tapped delay lines (TDLs). Numerical examples demonstrate that can achieve set stable estimations linear TDLs, leading carrier-to-noise-power ratio ( C / N 0 $C/N_0$ ) more than 50 dBHz code bias less 3.4 m, which outperform methods used comparison.