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 perform a method comprising:
• training a neural network with 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;
• 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;
• providing the input vector as input to the trained neural network;
• and
• determining a spin rate of the object in motion based on an analysis performed by the trained neural network, said analysis comprising analyzing the input vector including time and frequency information of the object in motion in view of the set of initial data;
• wherein training the neural network comprises converting the plurality of initial radar signals into a plurality of initial input vectors, the plurality of initial input vectors including time and frequency information of the respective plurality of initial objects in motion.

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

• training a neural network with 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;
• 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;
• providing the input vector as input to the trained neural network;
• and
• determining a spin rate of the object in motion based on an analysis performed by the trained neural network, the analysis comprising analyzing the input vector including time and frequency information of the object in motion in view of the set of initial data;
• wherein training the neural network comprises converting the plurality of initial radar signals into a plurality of initial input vectors, the plurality of initial input vectors including time and frequency information of the respective plurality of initial objects in motion.