Moving target line spectrum identification method based on frequency-energy fluctuation characteristics

Abstract

The invention discloses a moving target line spectrum recognition method based on frequency-energy fluctuation characteristics. The method mainly comprises high-resolution low-frequency LOFAR spectrumanalysis, line spectrum trace feature extraction, line spectrum fluctuation degree calculation and moving target line spectrum recognition. The method is based on the line spectrum characteristics ofa moving target; that is to say, the moving target line spectrum has a certain fluctuation near a certain frequency, and the energy of the moving target line spectrum also has a certain fluctuation with time. The line spectrum frequency-energy fluctuation characteristic of the moving target is represented by utilizing the line spectrum fluctuation degree; according to the method, the line spectrum fluctuation degree mean value and variance characteristics are extracted, moving target line spectrum identification can be effectively achieved based on a linear discrimination function, moving target line spectrums can be well distinguished, a good characteristic basis is provided for target detection and classification identification, and concerned moving target line spectrums can be effectively distinguished from a plurality of acquired line spectrums; the method can be used in passive all-direction buoy and subsurface buoy target detection and classification identification, and has goodengineering practical value.

Description

technical field [0001] The invention relates to the field of underwater acoustics and underwater acoustic signal target detection and recognition, in particular to a moving target line spectrum recognition method based on frequency-energy fluctuation characteristics. Background technique [0002] Underwater acoustic targets contain rich line spectrum components in the low frequency band. These line spectra are often important features for target detection and identification. At the same time, these low frequency line spectra are often relatively stable and have a long transmission distance. Some of these line spectra do not change with the working conditions. Or the change is small, and part of it changes with the working conditions. The line spectrum that has nothing to do with the working condition or weak correlation can be used as the inherent invariant feature of the underwater acoustic target, and the line spectrum that changes with the working condition can be used as ...

AI Technical Summary

Problems solved by technology

In the actual work process, passive omnidirectional sonobuoys and submersible buoys can perceive a large amount of line spectrum information, and it is difficult to distinguish the source of line spectrum without prior knowledge, let alone determine which line spectrum information is the target of interest. It has brought great trouble to target signal detection and classification recognition

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