Neural radiance field-enhanced inverse synthetic aperture radar

A system comprising:

• at least one processor;
• and
• at least one memory storing instructions that, when executed by the at least one processor, causes operations comprising:
• sampling a set of coordinates describing a volume in which an object is positioned;
• acquiring a plurality of true radar measurements describing a position of the object in the volume;
• encoding the set of coordinates to yield plurality of encoded coordinates;
• predicting, using a machine learning model, a scattering function for the object in the volume based on the plurality of encoded coordinates;
• and
• generating, based on the scattering function for the object, a plurality of estimated radar measurements describing the position of the object.

A non-transitory computer-readable storage medium including instructions which, when executed by at least one processor, causes operations comprising:

• sampling a set of coordinates describing a volume in which an object is positioned;
• acquiring a plurality of true radar measurements describing a position of the object in the volume;
• encoding the set of coordinates to yield plurality of encoded coordinates;
• predicting, based on the plurality of encoded coordinates and using a machine learning model, a scattering function for the object in the volume;
• and
• generating, based on the scattering function for the object, a plurality of estimated radar measurements describing the position of the object.