Journal Article

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

He, Yuxin, Hou, Yanqing, Wu, Linghua, Zhuang, Xuebin

2023

Overview

The measurement errors induced by the space‐time adaptive processing (STAP) is gaining attention for its significant detriment to the precision of the global navigation satellite system (GNSS) receiver positioning. To mitigate measurement errors, the steering vector (SV) estimation method based on spreading is widely employed in measurement error mitigation algorithms. However, the hazard of the SV estimation fluctuation problem is ignored in these algorithms. In this paper, the specific harm of such SV estimation fluctuation problem is analysed. To alleviate such problem and to eliminate the measurement errors as much as possible, a robust STAP beamformer for GNSS receivers is proposed. First, to acquire a series of robust SVs in different integration times, a desired signal covariance (DSC) matrix is iteratively reconstructed to remove the disturbance from thermal noise and the residual jamming signals. Second, to eliminate measurement errors, a replacement matrix is formed to help guarantee the phase linearities of the tapped delay lines (TDLs). Numerical examples demonstrate that the method can achieve a set of stable SV estimations and linear phase TDLs, leading to a carrier‐to‐noise‐power ratio (C/N0$C/N_0$) of more than 50 dBHz and a code phase bias of less than 3.4 m, which outperform the methods used for comparison. Wideband cancellation of interference in a GPS receive array. The space‐time adaptive processing (STAP) beamformer may induce measurement errors in a satellite receiver, resulting in positioning errors. To mitigate these errors when the directions of the satellite signals are unknown, the blind mitigation method is proposed from two aspects. In the first aspect, a desired signal covariance matrix is constructed and updated every integration time to improve the stability of the satellite direction estimations; In the second aspect, the constraints of the STAP are modified by using a replacement matrix to improve the linearity behaviour of the frequency response of the temporal filters of the STAP.

• Publisher: John Wiley & Sons, Inc
• Subject: Algorithms / anti‐jamming / Beamforming / Bias / Delay lines / Error analysis / Global navigation satellite system / Jamming / Linear phase / Matrices (mathematics) / Methods / Noise measurement / Receivers / Receivers & amplifiers / Robustness / space‐time adaptive processing / Steering / Thermal noise / Time measurement