Improving angular resolution of radars using an artificial neural network

According to an example aspect of the present invention, there is provided a method comprising, receiving, from a radar, a first reflected signal and a second reflected signal, determining a reference signal of the first reflected signal and training an artificial neural network using the first reflected signal and the reference signal of the first reflected signal, upon training, determining an output of the artificial neural network associated with the first reflected signal and providing a magnitude and angle image of the radar associated with the second reflected signal based on the output of the artificial neural network associated with the first reflected signal.

Patent family as of 21.7.2026
CA3166641 AA, EP4090989 A1, FI131712 B, FI20205054 A, US2023036450 AA, WO21144505 A1