Systems and methods for nequick modeling using neural networks

A method of determining the ionosphere delay for a Global Navigation Satellite System (GNSS) receiver, comprising:

• receiving GNSS signals from one or more satellites;
• converting the GNSS signals from a radio frequency (RF) to an intermediate frequency (IF);
• generating a plurality of inputs of a neural network from the GNSS signals, wherein the neural network is trained to output an approximation of an output of a NeQuick model;
• and
• estimating an indication of ionosphere delay based on an output of the neural network.

A non-transitory computer readable medium having computer-executable instructions stored thereon which, when executed by one or more processing devices, cause the one or more processing devices to:

• generate a plurality of inputs of a neural network based on received GNSS signals, wherein the neural network is trained to output an approximation of an output of a NeQuick model, wherein the neural network is stored on a memory;
• apply a plurality of weights and an activation function of the neural network to the plurality of inputs;
• and
• estimate an indication of ionosphere delay using the neural network.