A method for active classification and localization of underwater targets based on reliable acoustic paths

Abstract

The invention relates to an active classification and positioning method for underwater targets based on a reliable acoustic path. First, the active detection method is used to obtain a two-dimensional pitch angle-distance map in the target scene, and a pitch angle-distance curve is drawn according to the reliable acoustic path. Utilize the curve to classify the target to extract the pitch angle and distance of the underwater target, combine the sound field information to convert the pitch angle and distance of the underwater target into the horizontal distance and depth, and obtain the positioning result. The present invention can effectively target the target in the deep sea environment position.

Description

technical field [0001] The invention belongs to the field of array signal processing, in particular to an underwater target active classification and positioning method based on a reliable acoustic path. Background technique [0002] The deep-sea reliable acoustic path (RAP: reliable acoustic path) is a channel for acoustic propagation unique to the deep sea. The condition for RAP to occur is that the transducer is located below the critical depth of the deep sea (the speed of sound at the critical depth is equal to the speed of sound near the sea surface), and at this time an acoustic propagation path from the sea surface to the transducer will be formed. This acoustic propagation path is not affected by near-sea surface effects or seabed interactions, and the propagation signal is stable and reliable, so it is called a reliable acoustic path (Rui D, Kun-De Y, Yuan-Liang M, et al.Areliable acoustic path: Physical properties and a source localization method[J].Chinese Physi...

AI Technical Summary

Problems solved by technology

However, when the radiated noise level of the target is low, the method of passive detection using RAP faces the problem of weak received signal level, resulting in a decrease in detection performance

At the same time, when using RAP passive detection, it mainly focuses on low-frequency band processing, which may easily lead to poor estimation of target parameters (arrival angle, arrival time delay, etc.), affecting the effective positioning and classification of targets.

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