Application of the Generalized Likelihood Ratio Algorithm to Maneuver Detection and Estimation

In this paper the Generalized Likelihood Ratio (GLR) method for maneuver detection and estimation is applied to a generic surface-to-air engagement. In the case at hand, the technique results in system model nonlinearities which are incorporated in the algorithm to yield an "extended GLR." By employing Monte Carlo simulations, the detection and maneuver estimation performance of the GLR algorithm for various missile-target planar geometries, is evaluated. It is shown that even for a limited information base, maneuver detection and estimation is possible for almost all geometric scenarios.