Statistical Combined Analysis of Scalar and Vector Characteristics of Acoustic Fields

摘要

In statistical methods development of combined data processing the way of complex representation of signals an analytical signal is offered. Hilbert transformation is used for transition to such data representation in our work. Its application essentially simplifies of phase relations calculation. Usage of the given approach assumes operating in complex space with an analytical signal which gives us phase movement information. One more advantage of the given approach, that it allows to "bypass" the task of direct integration at transition from initial allocations of an oscillating acceleration to oscillating velocity. The research circuit of scattered noise field of impulse signal is constructed on research algorithm of time rows statistical properties [1]: 1. Superpositions of a direct impulse and the impulses which have come to a point of measurement on other paths; 2. Superpositions of bottom echo signals and plus surrounding noise; 3. "Pure" surrounding noise; 4. Reverberation "tail" of impulse signal. Comparing the characteristics received in sections 1-3 it becomes possible to estimate statistical characteristics of the reverberation field in surrounding noise. Usage of vector characteristics of acoustic field, leads to concept of the polarisation, characterising behaviour of sound waves in a liquid. Generally polarisation is elliptic and depends on spreading conditions, environment boundaries and their characteristics. Natural researches processing by the given method shows its efficiency.