Automatic detection and judgment method for vector hydrophone line spectrum

Abstract

The invention discloses an automatic detection and judgment method for a vector hydrophone line spectrum, relates to the technical field of underwater acoustic signal processing and signal detection,and the method can be used to judge the existence of a moving target through change of amplitude and orientation and effectively exert the due effect of underwater target line spectrum detection, andis reliable in detection technology and low in false alarm rate. According to the technical scheme, the method comprises the following steps that each frame of vector data received by a vector hydrophone is obtained, the average sound intensity spectrum of each frame of quantity data is solved, a slope threshold and a peak height threshold are adopted to extract a line spectrum from the average sound intensity spectrum, and the line spectrum is composed of line spectrum frequency; from the second frame of vector data, the line spectrum frequency of each frame of vector data is compared with the line spectrum frequency of the previous frame of vector data, and the line spectrum frequency meeting the Doppler tolerance is classified as the line spectrum of the same target. The line spectrum frequency belonging to the same target is compared and judged, it is judged that the target exists if the forward amplitude change and the monotonous orientation change exist, and an alarm signal is sent.

Description

technical field [0001] The invention relates to the technical field of underwater acoustic signal processing and signal detection, in particular to an automatic detection and judgment method for a line spectrum of a vector hydrophone. Background technique [0002] Small underwater acoustic monitoring platforms such as noise monitoring submersibles generally use broadband signals of underwater targets to detect targets. With the development of noise reduction and noise reduction technology, the broadband energy radiated by underwater targets is getting lower and lower, which brings great difficulties to the broadband detection and integral detection method adopted by traditional small monitoring platforms. However, the low-frequency line spectrum features of underwater targets are difficult to eliminate, so the low-frequency line spectrum detection method has been paid more attention. The main problem of the existing small platform line spectrum detection technology is that ...

AI Technical Summary

Problems solved by technology

The main problem of the existing small platform line spectrum detection technology is that the line spectrum detection method judges the existence of the line spectrum by the presence of stable energy in a certain narrow band for a continuous period of time, and it is easy to judge the common stable interference in the shallow sea environment as target, leading to a high false alarm rate and seriously affecting the monitoring effect

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