Low-frequency active towed linear array sonar shallow sea detection efficiency evaluation method based on cloud model

Abstract

The invention relates to a low-frequency active towed line array sonar shallow sea detection efficiency evaluation method based on a cloud model, which comprises the following steps: establishing a low-frequency active towed linear array sonar shallow sea detection efficiency index system; generating a detection efficiency standard sample set psi0; calculating the weight of each detection efficiency index of the psi0 by using a variation coefficient improved CRITIC method for the psi0; sequencing elements in the psi0 to generate psi1, and recombining to generate psi2; calculating the digital characteristic values of n indices and I levels multidimensional cloud model by using an MBMCT-SR algorithm for psi2 to generate I n-dimensional normal clouds; selecting sonar parameters and calculating each detection efficiency index; and substituting the sonar parameters into a target strength formula to calculate the certainty degree of the sonar parameters belonging to each detection efficiencygrade, and judging the detection efficiency grade according to a maximum certainty degree principle. The low-frequency active towed line array sonar shallow sea detection efficiency evaluation methodcan quickly and intuitively judge the detection efficiency and provide an auxiliary decision for the combat use of the low-frequency active towed linear array sonar.

Description

Technical field [0001] The invention relates to a detection method, in particular to a low-frequency active towed array sonar shallow sea detection efficiency evaluation method based on a cloud model, and belongs to the technical field of underwater acoustic detection. Background technique [0002] With the maturity of submarine vibration and noise reduction technology, low-frequency active towed array sonar has become a new type of equipment for naval surface ships to detect quiet submarines. The detection efficiency of sonar equipment reflects the ability of sonar to find and locate targets. As we all know, the detection efficiency of sonar equipment is significantly affected by the ocean acoustic environment, especially in the shallow sea environment, the changes in the sound velocity profile have obvious regional and seasonal characteristics, and different types of sediments also have a certain impact on the sonar detection efficiency. [3] . Therefore, how to scientifically ...

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Problems solved by technology

However, the existing studies only analyzed the uncertainty brought by environmental factors such as reverberation and ocean environment noise to sonar detection, and did not study in depth the effects of anti-submarine warfare confrontation and non-cooperative underwater targets on sonar detection. Uncertainty; the existing evaluation methods to build an efficiency evaluation model stay at the numerical level of each efficiency sub-indicator, without further combining human subjective cognitive characteristics to convert data into knowledge, and it is difficult to quickly and intuitively judge the detection efficiency

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