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As we know, identification of echoes from underwater objects is important but difficult. In this paper, we newly propose a feature analysis and extraction method of echoes based on sub-band processing. When the transmitted signal is a linear or hyperbolic frequency modulated signal, three waveform features are extracted using our proposed method which works by processing sub-band filtering and sub-band...
In seabed classification techniques based on multibeam sonar, the classification method using angular response information of backscatter strength data has shown the potential for practical application and can be supported by the seabed high-frequency acoustic scattering theory. However, classification imagery produced by this method has a relatively low spatial resolution, which is limited to the...
Under the noise interference environment, the auditory system of the human ear boasts strong robustness and reliability. Integrate the auditory model of the human ear into the ship radiated noise modulation spectrum extraction process can further improve the signal to noise ratio (SNR) and enhance the effect of the extracted modulation spectrum. This paper simulates the processing mechanism of the...
In recent years, scientists have been paying more and more attention on extracting features from the radiated noise of underwater targets. Thus, enriching the feature reserve of underwater targets is quite significant for scientists in order to detect and study them. The paper presents an algorithm of feature extraction, which focuses on the MFCC feature coefficients of underwater targets. Mel Frequency...
A new algorithm is proposed in this paper to recognize and classify underwater acoustic signals including underwater acoustic communication signals, active sonar signals, ship-radiating noise and burst ocean ambient noise. The paper firstly analyzed the features of underwater acoustic signals in time domain, frequency domain and cyclostationarity domain. At the same time, the way of extracting features...
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