GNSSile

GNSSile refers to a proposed method for determining an object's position and velocity using the signals from the Global Navigation Satellite System (GNSS) in conjunction with an inertial measurement unit (IMU). The core idea behind GNSSile is to fuse the data from these two distinct sensor types to achieve a more accurate, reliable, and robust navigation solution than either sensor could provide on its own.

GNSS receivers typically offer good absolute position accuracy when a sufficient number of satellites are visible. However, they can suffer from signal blockage, multipath interference, and low update rates, which can lead to intermittent or inaccurate position fixes. IMUs, on the other hand, provide high-frequency measurements of acceleration and angular velocity. When integrated, these measurements can yield highly accurate short-term position and orientation estimates. The primary limitation of IMUs is their susceptibility to drift over time, meaning errors accumulate rapidly if not corrected.

GNSSile aims to leverage the strengths of both systems. The GNSS provides absolute position corrections to mitigate IMU drift, while the IMU provides high-rate, smooth motion data that can fill in the gaps during GNSS outages and improve the overall navigation solution's continuity and accuracy, especially during dynamic maneuvers. Various filtering techniques, such as Kalman filters, are commonly employed to optimally combine the GNSS and IMU data, taking into account their respective error characteristics. This fusion enables applications requiring precise and continuous positioning, such as autonomous navigation, precision agriculture, and advanced driver-assistance systems.