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Chaos Analysis of Reverberation from Short Distance Acoustic Detection in Deep-Sea Mining Environment

In order to research reverberations whether are chaotic in deep-sea mining environment, this paper reviews nonlinear dynamics relevant theories, the characteristic of selecting linear region is proposed for small data sets algorithm. Microtopography was detected in the simulative environment of deep-sea mining, Three kinds of typical reverberations were acquired in different working conditions. Phase space reconstruction parameters of the reverberations are estimated. The largest Lyapunov exponents of the reverberations also are calculated in phase space, the largest Laypunov exponents are greater than 0 and less than 0.1. In contrast to white Gaussian noise, this paper demonstrates the chaotic dynamics of reverberations generated from microtopography detection in the deep-sea mining complex environment. The results provide a new approach of nonlinear dynamics to model and process reverberation generated from short distance and high frequency acoustic detection in deep-sea mining complex environment.