Residual-based discrimination method of exoatmospheric active decoys

Aiming at dealing with exoatmospheric active decoys, a residual-based discrimination method is proposed. Firstly, dynamics models of active decoys are derived theoretically and the inherent motion differences between warhead and decoys are analyzed. We point out that these motion differences can be reflected by maximum likelihood (ML) estimate residuals of initial state parameter. Secondly, for solving the ML problem, a Levenberg-Marquardt (L-M) algorithm is employed. Finally, the discrimination threshold is designed based on normalized residual sum of square (NRSS). Theoretical analysis and experimental results indicate that the discrimination method is valid and feasible.