CFAR adaptive processing for real-time prioritization

A computer-implemented method for performing object detection using a radar system on a cell under test associated with range-Doppler radar values, comprising:

• obtaining radar data for performing object detection on a cell under test (CUT), the radar data associated with range-Doppler radar values;
• determining a feature set for the cell under test, associated with multiple cells, the feature set specifying parameter data including at least one of range data, doppler data, SNR data, noise data, or power data;
• selecting a baseline detection threshold based on the feature set;
• analyzing parameter data of the cell under test and neighboring cells to generate detected unit data indicating object detection;
• detecting an object by comparing the detected unit data to the baseline detection threshold to determine whether the cell under test corresponds to a valid object detection outcome;
• generating a priority score by comparing the detected unit data to a figure of merit comprising a threshold derived from statistical aggregation of prior radar scan outputs, the priority score being indicative of detection confidence;
• assigning the priority score to the detected unit data;
• sorting the detected unit data based on the priority score to form a sorted list, wherein the sorted list is partitioned into a plurality of buckets defined jointly by the feature set and the figure of merit;
• prioritizing the detected unit data using a scheduler that weights factors comprising an order of processing buckets defined by the feature set and the figure of merit, a weighted distribution among the buckets, and a volume of detected unit data within each bucket to be processed;
• and
• updating the baseline detection threshold using the sorted list based on a distribution of detected unit data across the plurality of buckets and system-level processing constraints.

A non-transitory computer readable storage medium storing instructions that, when executed by at least one processor of a computing system, causes the computing system to:

• obtain radar data for performing object detection on a cell under test (CUT), the radar data associated with range-Doppler radar values;
• determine a feature set for the cell under test, associated with multiple cells, the feature set specifying parameter data including at least one of range data, doppler data, SNR data, noise data, or power data;
• select a baseline detection threshold based on the feature set;
• analyze parameter data of the cell under test and the neighboring cells to generate detected unit data indicating object detection;
• detect an object by comparing the detected unit data to the baseline detection threshold;
• generate a priority score by comparing the detected unit data to a figure of merit, the priority score being indicative of detection confidence;
• assign the priority score to the detected unit data;
• sort the detected unit data based on the priority score to form a sorted list, wherein the sorted list is partitioned into a plurality of buckets defined jointly by the feature set and the figure of merit;
• prioritize the detected unit data using a scheduler that weights factors comprising an order of processing buckets defined by at least one of the feature set or the figure of merit, a weighted distribution among the buckets, and a volume of detected unit data within each bucket to be processed,
• wherein the scheduler further comprises a priority tracker configured to maintain a hierarchy of the plurality of buckets and to determine the volume of detected unit data within each bucket to be processed based on the hierarchy;
• and
• update the detection threshold using the sorted list of detected unit data.