Detection Method for Underwater Slow Moving Targets Based on Frequency-wavenumber Spectrum Analysis in ReverberationEnvironment

doi:10.3969/j.issn.1000-1093.2020.09.020

Abstract

Abstract: For the problem that detected signals of underwater slow moving targets are usually immersed by random noise and reverberation, this paper presents a detection method based on frequency-wavenumber (FK) spectrum analysis. FK analysis is like a velocity filter, in which the signals of targets and reverberation have different distributions. According to this feature, the information in FK spectrum obtained through two-dimensional Fourier transform is extracted by Radon transform. A low dimensional feature space is constructed based on the FK spectrum, and the supported vector machine is used to recognize the signals of moving targets and reverberation. Additionally, the signals of moving targets are filtered according to the slope of FK spectrum. The proposed method is more effective than traditional method because it is “classify before detect” without beamforming. The feasibility of the method is verified using sea trial data. Target signal is successfully extracted from the strong reverberation signal, and the obtained gain is 3 dB. The result shows that the proposed method has ability to extract slow moving target signal critically disturbed by reverberation.

Key words: underwatertarget, reverberationenvironment, signalextraction, frequency-wavenumberspectrum, echodetection

CLC Number:

O427.2

XU Yanfeng, PAN Xiefan, LIU Benqi. Detection Method for Underwater Slow Moving Targets Based on Frequency-wavenumber Spectrum Analysis in ReverberationEnvironment[J]. Acta Armamentarii, 2020, 41(9): 1880-1886.

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