Thinning Method of Effective Sound Velocity Table Based on Genetic Algorithm

Abstract

The invention relates to a method for thinning effective sound velocity table based on genetic algorithm, comprising the following steps: S1, sampling the original effective sound velocity table to generate an initial sample; S2, processing the initial sample by polynomial interpolation method and re- Constructing the initial sample to generate a reconstructed effective sound velocity table; S3, calculating the fitness of each reconstructed sample in the reconstructed effective sound velocity table; S4, judging whether the fitness of each reconstructed sample satisfies the design Threshold; S5. If the fitness of one sample in all the reconstructed samples satisfies the design threshold, then use the reconstructed sample whose fitness meets the design threshold as the optimal sample, and pair the optimal sample with the Thinning processing is performed on the original effective sound velocity table. The method of the invention has high calculation efficiency and high precision, has inherent implicit parallelism and better global optimization ability, can automatically obtain and guide optimized search space, and adjust search direction adaptively.

Description

technical field [0001] The invention relates to the technical field of underwater acoustic propagation and underwater acoustic positioning, and more specifically, relates to a method for thinning an effective sound velocity table based on a genetic algorithm. Background technique [0002] Sound is currently the best carrier for transmitting information in water. Due to the inhomogeneity of seawater, sound does not propagate along a straight line in seawater. This makes it impossible to simply rely on geometric methods to calculate the target position in the process of underwater positioning. Instead, a sound ray correction method is needed to eliminate the influence of sound ray bending on the underwater acoustic positioning system. At present, there are mainly three kinds of sound ray correction methods commonly used, namely, sound ray tracing method, equivalent sound velocity profile method and effective sound velocity method. [0003] In order to accurately approach the ...

AI Technical Summary

Problems solved by technology

The advantage of this method is that it simplifies the sound velocity profile and improves the calculation efficiency, but the error is large

[0005] The effective sound velocity method redefines the sound velocity in the sound ray correction model, which is the ratio of the geometric distance between two points to the actual sound propagation time, so that the propagation path is approximated from a curve to a straight line. In practical applications, according to the known Vertical distribution of sound velocity. The effective sound velocity of all positions in the operation area is calculated offline by the sound ray tracing method, and an effective sound velocity table is constructed. When the target depth is known, the effective sound velocity in the table is directly called, and combined with the measured sound propagation time, the actual propagation distance of the sound wave can be obtained. The accuracy of the effective sound velocity meter mainly depends on the step size in the horizontal and vertical directions. To obtain higher accuracy, it is necessary to construct an effective sound velocity meter with huge data. Although it can be Calculated, but in a system that requires high real-time positioning, it will cause a certain burden on the hardware system and affect the real-time performance of the system

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