INTERFERENCE-ADAPTIVE PARAMETER OPTIMIZATION FOR DOA-GUIDED GNSS SATELLITE SELECTION AND WEIGHTING

Abstract

This paper presents a DoA-guided GNSS anti-jamming method based on satellite selection and weighting, and provides the first systematic multi-criterion investigation of its tunable parameter configuration. The method combines subspace-based direction-of-arrival estimation with ephemeris-driven satellite geometry to assign scalar weights to visible satellites, enabling lightweight implementation without dedicated antenna hardware. The weighting function is governed by five parameters controlling bearing penalty, elevation gain, signal quality gain, geometry gain, and penalty angular width. To determine how the optimal parameter configuration depends on the chosen performance objective, four optimization experiments are formally defined: minimization of geometric dilution of precision, minimization of horizontal positioning error, maximization of fix availability, and a weighted composite criterion combining all three objectives. A fine-resolution grid search is conducted over a large number of parameter combinations across multiple Monte Carlo epochs for five representative interference scenarios covering narrowband, wideband, chirp, and mixed jamming types. The results reveal that the optimal bearing-penalty strength is strongly criterion-dependent for narrowband and chirp interference, exposing a genuine trade-off between geometric diversity and positioning accuracy. In contrast, the signal quality gain parameter is criterion-robust under wideband noise interference, providing a universal design rule regardless of which performance objective is prioritized. The weighted composite criterion is shown to be Pareto-efficient, simultaneously achieving lower geometric dilution of precision and lower positioning error than single-objective optima in most interference scenarios. Fix availability is confirmed to be a non-binding constraint under the evaluated interference conditions. These findings provide physically interpretable design guidelines and a validated per-scenario parameter lookup table for interference-adaptive GNSS receivers.