Abstract
Dual-polarized sensitive arrays (DPSAs) with the space–time-polarization adaptive processing (STPAP) technique, which employs the polarization domain as well as the space domain and time domain to filter out interferences, can cancel a larger number of wideband interferences for GNSS receivers. However, the traditional STPAP beamforming algorithm, which requires a separate adaptive filter for each GNSS satellite, will make the process computationally intensive as there are multiple GNSS satellites in the field of view (FOV). In order to overcome the shortcoming, a novel STPAP beamforming algorithm based on the minimum variance distortionless response (MVDR) criterion is proposed. Compared with the traditional STPAP beamforming algorithm, the proposed STPAP beamforming algorithm can process multiple GNSS satellites at once using only one adaptive filter, which will greatly reduce the computational complexity. Moreover, the proposed algorithm will not lead to a sharp deterioration in the output carrier-to-noise density ratio (C/N0) performance if the number of GNSS satellites processed in the same adaptive filter is proper. Furthermore, to calculate weight vector iteratively, an adaptive algorithm based on the constrained least mean square (CLMS) method is derived for the proposed STPAP beamforming algorithm. Simulation results validate that the proposed algorithm is effective in mitigating interferences for GNSS receivers in the joint space–time-polarization domain and meanwhile has lower computational complexity when maintaining the output C/N0 performance close to that of the traditional STPAP algorithm.
Highlights
GNSS has been widely applied in both military and civil fields because it can provide all-time, all-weather, and high accuracy position, navigation, and timing service to global users
We propose a novel space–time-polarization adaptive processing (STPAP) beamforming algorithm based on minimum variance distortionless response (MVDR) criterion for GNSS receivers, which can achieve a balance between the output C/N0 performance and computational complexity
C/N0 performance of the proposed STPAP algorithm based on the MVDR-CMS criterion is close to that of the existing STPAP algorithm based on the MVDR-CSS criterion in [30] if the parameter J, which denotes the number of GNSS satellites that processed by the same adaptive filter, is proper
Summary
GNSS has been widely applied in both military and civil fields because it can provide all-time, all-weather, and high accuracy position, navigation, and timing service to global users. We propose a novel STPAP beamforming algorithm based on MVDR criterion for GNSS receivers, which can achieve a balance between the output C/N0 performance and computational complexity. Since the proposed STPAP algorithm based on the MVDR criterion which constrains multiple satellites at once, we can call it MVDR-CMS criterion in this paper It can reduce the computational complexity effectively compared with the traditional STPAP algorithm based on the criteria in [30]; (b) The number of the desired GNSS signals processed in a single adaptive filter is discussed, so it will not cause drastic output C/N0 performance degradation when obtaining a lower computational complexity.
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