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In order to solve UAVs countermeasure selection problem under the complex air combat situation, we proposed to use Time Series Similarity Method to quantitative compare the combat situation information of adjacent time and divide the game situation into “change” or “stable” situation. Firstly, the paper analyzed the variability of real-time combat situation, collected the enemy situation information over a period of time, used the advantage of the situation function to calculate the advantage of our situation and list the advantages of the overall trend information sequence. Then we proposed a Time Series Similarity method of UAVs combat situation advantage, made the curve of the situation advantage and determined the stability good or not. Made the assessment of the game battlefield environment situation accurately and then selected the most realistic combat countermeasure method that conducive to battlefield environment. At last, we took an example, two sides 1 V 1 air combat, using the method proposed in this paper for checking. The result showed that the method feasibility and effectiveness.

Time Series Similarity Method Research of UAVs Combat Situation Advantage Information