Advanced adaptive clustering technique for portable radars

Abstract

Disclosed herein are systems and methods for adaptive clustering of points from radar scans, utilizing feedback information to define appropriate clustering gate sizes, and optimizing overall radar system performance in various scenarios and environments. Various approaches enable separation of over-clustered targets into multiple clusters by removing points whose distance from a weighted center exceeds a disparity threshold, and uniting under-clustered targets into a single cluster. Outlier points can be removed based on their SNR and Doppler relative to a median SNR and median Doppler of all points in the cluster. The optimal cluster center is identified based on variable weighting techniques that consider at least one dimension beyond spatial dimensions, such as Doppler information, signal-to-noise ratio information, environmental conditions, or system constraints. Adaptive gate sizing is performed to fine-tune clustering parameters based on feedback from various sources, such as target characteristics, environmental conditions, or system constraints, using previous scan data.