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In order to express jumping scene in the real life, consisting of jumping site, large-scale jumping athletes and sports, this paper proposes expression of action coordination ability of track and field jumping events within signal autocorrelation. First of all, design the hierarchical logic model of track and field jumping field, conduct logic modeling and describe the complex jumping field from different levels, such as geometry and topology. Secondly, the existing research on special action coordination ability of track and field jumping events, using the micro method based on individuals, has low calculation efficiency for jumping events, and the small-scale method based on the flow cannot express complex jumping phenomenon. Therefore, put forward a new set of small-scale flow equation to describe the movement of jumping athletes in the track and field jumping site, to make small-scale flow model able to combine with the behavior model of jumping athletes, to vividly describe the complex jumping phenomenon. Experimental results show that, the proposed method is based on the realization of the high detail simulation of the movement of jumping athletes within the signal autocorrelation and its computational efficiency has the same order of magnitude with the small-scale flow model. Based on the virtual reality modeling of real jumping field in the practical application, analyze the special action coordination ability of track and field jumping events to further verify the effectiveness of the method.

Research on Coordination Ability of Special Actions of Track and Field Jumping Events Based on Signal Autocorrelation