Simulation of Rocket Exhaust Plumes Recognition Based on Dynamic Time Warping

doi:10.16182/j.issn1004731x.joss.21-0295

Abstract

Abstract: By analyzing the infrared radiation characteristics of the rocket exhaust plumes and summarizing the changing law of the radiant intensity sequence, an improved recognition algorithm based on Dynamic Time Warping algorithm is proposed. In order to improve the effect of sequence shape similarity measurement, the distance matrix and matching path are calculated by the derivative sequence, and the distance is recalculated according to the matching path and radiant intensity value. The problem of path matching affected by the non-uniformity of observation sequence length is solved to a certain extent by using the prefix and suffix relaxation factors. The simulation results show that the algorithm can better match the infrared radiant intensity sequence of exhaust plumes of the same rocket, and realize the classification or recognition of rockets with a small number of samples.

Key words: dynamic time warping(DTW), time series, target recognition, rocket exhaust plumes, infrared radiation

CLC Number:

TP75

Liu Hao, Mao Hongxia, Xiao Zhihe, Liu Zheng. Simulation of Rocket Exhaust Plumes Recognition Based on Dynamic Time Warping[J]. Journal of System Simulation, 2022, 34(1): 126-133.

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