GNSSsel

GNSSsel is a term used to describe a software framework and methodology for selecting the most suitable satellite signals from one or more Global Navigation Satellite Systems to improve positioning performance. It is commonly used in multi-constellation GNSS contexts to adapt to changing conditions and constraints.

The framework evaluates candidate signals based on quality metrics (signal-to-noise ratio, multipath indicators, ephemeris health), geometry (DOP, satellite-receiver geometry), and environmental factors, and then selects a subset for use in positioning and navigation. It can operate in real-time on receivers or in simulation environments.

Implementations of GNSSsel are found in academic research, GNSS simulators, and some advanced navigation stacks. They may incorporate dynamic selection strategies, such as switching satellites when a signal deteriorates or when interference is detected, and may interface with estimation algorithms (Kalman filter, batch least squares) to optimize covariance.

In practice, GNSSsel aims to improve robustness and availability in challenging environments, such as urban canyons or under jamming. Limitations include dependence on accurate signal quality estimates, potential computational overhead, and the risk of overfitting selection criteria to specific scenarios. Its use is complementary to traditional receivers rather than a universal standard. See also related concepts such as multi-constellation GNSS, signal quality metrics, and robust navigation.