NSHV trajectory prediction algorithm based on aerodynamic acceleration EMD decomposition

Aiming at the problem of gliding near space hypersonic vehicle (NSHV) trajectory prediction, a prediction method based on aerodynamic acceleration empirical mode decomposition (EMD) is proposed. The analyzes motion characteristics skipping NSHV and verifies that target has relatively stable rule. On this basis, EMD used to extract trend into multiple sub-items, aggregate sub-items with similar attributes. Then, prior basis function set according stability rule, aggregated data are fitted by predict its future state. After that, drive system trajectory. Finally, experiments verify effectiveness method. In addition, distribution errors in discussed, reasons analyzed.