Augmentation and processing of radar data with machine learning

A method for processing source radar data, obtained by observing a scene with a source configuration of a radar system, the source radar data including location coordinates of source reflex locations from which reflected radar radiation was incident on the radar system, the method comprising:

• providing a source array of grid cells for the location coordinates of the source reflex locations, the source array being one of two-dimensional and multi-dimensional;
• determining, from the location coordinates of all of the source reflex locations, for each respective grid cell in the source array, at least one of a probability and a frequency that at least one source reflex location is located in and assigned to the respective grid cell;
• forming a source tensor that includes the source array populated with the at least one of the probability and the frequency for each grid cell in the source array;
• feeding the source tensor into a neural network.

A computer having a non-transitory machine-readable data carrier that stores a computer program containing machine-readable instructions for converting source radar data, obtained by observing a scene with a source configuration of a radar system, into target radar data that can be expected when the scene is observed with a target configuration of the radar system, the source radar data including location coordinates of source reflex locations from which reflected radar radiation was incident on the radar system, the target radar data including location coordinates of target reflex locations from which reflected radar radiation will be incident on the radar system, the computer being configured to execute the machine-readable instructions to:

• provide a source array of grid cells for the location coordinates of the source reflex locations, the source array being one of two-dimensional and multi-dimensional;
• determine, from the location coordinates of all of the source reflex locations, for each respective grid cell in the source array, at least one of a probability and a frequency that at least one source reflex location is located in and assigned to the respective grid cell;
• form a source tensor that includes the source array populated with the at least one of the probability and the frequency for each grid cell in the source array;
• transform the source tensor into a target tensor that includes at least one target array of grid cells for the location coordinates of the target reflex locations, the target array indicating, for each respective grid cell in the target array, at least one of a probability and a frequency that the target reflex locations obtained with the target configuration during observation of the scene will be located in the respective grid cell;
• generate the target radar data by sampling, based on the at least one of the probability and the frequency for each grid cell in the target array, the location coordinates of the target reflex locations.