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- W2899345829 abstract "Due to the large amount of the operational situation data of UAV, the similarity measurement efficiency is low. Therefore, this paper proposes a UAV operational situation similarity measure method based on empirical mode deconposition. Firstly, the situation elements and its representation mode are determined. Then we use the empirical mode decomposition method to extract the sequence trends of the empirical situation and the new situation, and then measure the similarity between the trend sequences of the new situation and experience situatin by vector distance. At last, the method extracts the part of the experience situation similar to the new situation as the basis of operational decision making under the new situation. Through the use of common data sets for simulation analysis, it is shown that the method can effectively measure the degree of similarity between two sequences. The measurement accuracy is high and the time consuming is short, which has certain practical value." @default.
- W2899345829 created "2018-11-09" @default.
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- W2899345829 date "2018-11-05" @default.
- W2899345829 modified "2023-09-22" @default.
- W2899345829 title "A UAV Operational Situation Similarity Measurement Method Based on Empirical Mode Decomposition" @default.
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- W2899345829 doi "https://doi.org/10.1007/978-3-319-98776-7_48" @default.
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