Concurrent Tracking and Detection of Slowly Moving Targets using Dynamic Logic

We describe a new approach for combining range and Doppler radar data to perform multi-target detection and tracking. The algorithm framework is based upon dynamic logic, a biologically-inspired neural architecture, which yields advantages over conventional multi-target tracking algorithms by reducing the computational complexity during data association by several orders of magnitude. The algorithm is tested on experimental range-plus-Doppler radar data, and the results demonstrate a surprising degree of robustness in the presence of nonhomogeneous clutter and uncertainty in the number of targets