Parametric CNN for Radar Processing

A system comprising:

• a sensor comprising:
• a transmitter configured to transmit a plurality of sensor signals towards a target;
• a receiver configured to receive a plurality of reflected sensor signals;
• and
• an artificial intelligence (AI) accelerator having an input coupled to an output of the sensor, and configured to:
• receive raw digital data representing the reflected sensor signal, and
• process the raw digital data using a constrained L dimensional convolutional layer of a neural network to generate intermediate digital data, wherein L is a positive integer greater than or equal to 2, and wherein the neural network comprises a plurality of additional layers, and wherein the AI accelerator is configured to process the raw digital data using a time-domain two-dimensional filter to filter the raw digital data in a fast time dimension and in a slow time dimension;
• and
• process the intermediate digital data using the plurality of additional layers to generate, at an output of the AI accelerator, data associated with the target.

A system comprising:

• a sensor configured to transmit a plurality of chirps towards a target, receive a plurality of reflected chirps;
• and
• a processor having an input coupled to an output of the sensor, and configured to:
• receive raw digital data representing the received reflected chirps, and
• process the raw digital data using a neural network having a first constrained two dimensional convolutional layer followed by a plurality of additional layers to generate, at an output of the plurality of additional layers, data associated with the target, wherein the processor is configured to process the raw digital data using a time-domain two-dimensional filter to filter the raw digital data in a fast time dimension and in a slow time dimension.