Machine learned user interface for dynamic control of intelligent radar clutter mitigation

A sensor system configured to sense targets within an ambient environment, the system comprising:

• a human machine interface;
• and
• an electronic processor coupled to the human machine interface and configured to:
• receive sensor data including a plurality of targets;
• select a clutter mitigation model;
• generate, with the clutter mitigation model, a subset of the plurality of targets based on the sensor data;
• receive, from the human machine interface, an operator sensitivity setting;
• generate, with a machine learning mapping function, a post-processing parameter based on the operator sensitivity setting;
• process the subset of the plurality of targets based on the post-processing parameter to select, from the subset of the plurality of targets, a display target;
• and
• display, via the human machine interface, the display target;
• wherein the post-processing parameter is a consistency counter threshold;
• and
• processing the subset of the plurality of targets includes selecting, from the subset of the plurality of targets, the display target when the number of times that a confidence value for the display target exceeds a confidence threshold exceeds the consistency counter threshold.