Golf Ball Spin Detection via Trajectory Matching

The patent introduces an intermediary computational model (ball flight model) that mediates between the raw radar signals and the spin calculation. Instead of directly extracting spin from frequency characteristics of reflected signals, the system uses position coordinate data as an intermediary to predict ball trajectories and iteratively determine spin values that match observed trajectories, thereby avoiding direct reliance on potentially contaminated frequency signals

The patent replaces the direct frequency analysis method (acoustic/wave-based approach) with a computational mechanics approach. Instead of analyzing the physical frequency characteristics of reflected radar signals, the system substitutes a ball flight physics model that calculates trajectories based on initial conditions and spin parameters, then iteratively solves for spin values that reproduce observed ball flight paths

The patent implements a feedback mechanism where predicted ball trajectories based on trial spin values are compared with actual observed trajectories, and the spin values are iteratively adjusted to minimize the difference. This closed-loop feedback process continuously refines the spin calculation by comparing model predictions with actual measurements, thereby improving reliability through iterative optimization

The patent performs preliminary actions by first calculating position coordinate data and establishing a ball flight model before determining spin values. The system pre-computes predicted trajectories for various trial spin values and establishes a framework for comparison with observed data, preparing the computational structure in advance to systematically evaluate and select the most accurate spin parameters