Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (1): 151-158.doi: 10.3969/j.issn.1001-506X.2018.01.22

Previous Articles     Next Articles

Decomposition ensemble trajectory prediction algorithm for hypersonic vehicle

HAN Chunyao, XIONG Jiajun, ZHANG Kai, LAN Xuhui#br#

#br#
  

  1. Early Warning Intelligence Department, Air Force Early Warning Academy, Wuhan 430019, China
  • Online:2018-01-08 Published:2018-01-08

PDF (PC)

Abstract:

Aiming at the trajectory prediction of unpowered gliding hypersonic vehicle and its application requirements, a decomposition ensemble trajectory prediction model is proposed. Firstly, according to the periodicity leap characteristic of the hypersonic vehicle, the trajectory sequence is decomposed into sub-sequences with trend, periodicity and random characteristics by using the thought of decomposition and integration. Then, using the corresponding trajectory prediction model to predict each trajectory sub-sequence on the basis of sub-sequence characteristics. Finally, the ensemble of the prediction result of each trajectory prediction sub-model is taken as the final prediction value. Due to the high degree of fit between the sub-sequence and the trajectory prediction sub-model, the decomposition ensemble trajectory prediction algorithm has more advantages than the trajectory prediction algorithm using a single model. The simulation results show that the decomposition ensemble trajectory prediction algorithm can improve the accuracy of trajectory prediction effectively.

[an error occurred while processing this directive]