Velocity-based track discrimination algorithms

Velocity-based track discrimination is posed as a detection problem. Four discrimination algorithms are presented and compared in terms of their discrimination performance and computational load. One of these algorithms is an optimal, though computationally complex, Bayesian likelihood ratio detector. It turns out that one of the other three approximates the optimal performance, while requiring only a fraction of the computational load associated with the optimal one.