Detection and estimation of spin

A system, comprising:

• a memory;
• and
• a processor operatively coupled to the memory, the processor being configured to execute operations that, when executed, cause the processor to:
• receive a radar signal of an object in motion;
• convert the radar signal into an input vector, the input vector including time and frequency information of the object in motion;
• provide the input vector as input to a neural network, where the neural network has access to a set of initial data that has been generated based on a plurality of initial radar signals of a plurality of initial objects in motion;
• and
• determine a spin rate of the object in motion based on an analysis performed by the neural network of the input vector including time and frequency information of the object in motion in view of the set of initial data, the analysis including comparing a first set of harmonics of the input vector to a second set of harmonics of a time-frequency image in the set of initial data.

A non-transitory computer-readable medium having encoded therein programming code executable by a processor to perform operations comprising:

• receiving a radar signal of an object in motion;
• converting the radar signal into an input vector, the input vector including time and frequency information of the object in motion;
• obtaining a set of initial data, wherein an initial datum of the set of initial data comprises:
• receiving an initial radar signal of an initial object in motion;
• converting the initial radar signal into an initial input vector including initial time and frequency information;
• processing the initial input vector to determine an initial spin rate;
• storing the initial spin rate as a known spin rate datum;
• and
• adding the known spin rate datum to the set of initial data;
• providing the input vector as input to a neural network, where the neural network has access to the set of initial data;
• and
• determining a spin rate of the object in motion based on an analysis performed by the neural network of the input vector including time and frequency information of the object in motion in view of the set of initial data, the analysis including comparing a first set of harmonics of the input vector to a second set of harmonics of a time-frequency image in the set of initial data.