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Gammachirp cepstrum coefficient auditory feature extraction method of underwater targets

A cepstral coefficient and auditory feature technology, applied in the field of classification and recognition of underwater target radiation noise, can solve problems such as error, signal interference, and MFCC algorithm is easily affected by noise, and achieve improved accuracy, clear spectrogram background, The effect of improving the correct recognition rate

Active Publication Date: 2014-02-05
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0010] The MFCC algorithm is susceptible to noise, and the signal is slightly interfered, and the amplitude, phase and frequency of the spectrum may produce large errors

Method used

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  • Gammachirp cepstrum coefficient auditory feature extraction method of underwater targets
  • Gammachirp cepstrum coefficient auditory feature extraction method of underwater targets

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Embodiment Construction

[0037] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0038] This embodiment is the radiated noise of underwater targets recorded at sea. The radiated noise of underwater targets is sampled at a sampling rate of 22.05 kHz, and the signal-to-noise ratio is greater than 6 dB.

[0039] For the underwater target radiation noise data that is recorded, the main steps of the present invention are as follows:

[0040] Step 1: Preprocessing the radiation noise of the recorded underwater target, including framing and windowing, the window function uses the Hamming window, and its form is

[0041] ω ( n ) = 0.54 - 0.46 cos ( 2 πn N - 1 ) , ...

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Abstract

The invention provides a gammachirp cepstrum coefficient auditory feature extraction method of underwater targets. On the bases of Fourier conversion and logarithmic compression, a gammachirp auditory filter set is combined, preprocessing is carried out on measured noise data at first, a target signal can be expressed as approximately stable in short time, then Fourier conversion is carried out on the preprocessed data, a time-domain signal is converted into a frequency domain signal to be processed, auditory filtering and logarithmic compression are carried out on the frequency domain signal through the gammachirp auditory filter set, discrete cosine transformation is carried out on the data after logarithmic compression at last, and the number of dimensions of the data is reduced. According to the gammachirp cepstrum coefficient auditory feature extraction method of the underwater targets through gammachirp frequency auditory perception, effective auditory features of underwater target radiation noise can be extracted, and therefore the correct recognition rate of the underwater targets is increased.

Description

technical field [0001] The invention relates to an auditory feature extraction method of gammachirp cepstrum coefficient of an underwater target, which can be applied to the classification and recognition of the radiation noise of the underwater target. Background technique [0002] Underwater target feature extraction refers to extracting a set of features reflecting its characteristics and types from the preprocessed underwater target radiation noise waveform (time-domain feature extraction), or using a certain method to transform the target radiation noise waveform, and then Extract a set of features reflecting its characteristics and target type in the transform domain (transform domain feature extraction). Feature extraction is one of the key links in target recognition, which directly affects the final recognition result of the target. Currently, the main feature extraction methods used are: [0003] 1) Power spectrum estimation and LOFAR spectrum analysis [0004] ...

Claims

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Application Information

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IPC IPC(8): G10L25/24
Inventor 杨益新吴姚振
Owner NORTHWESTERN POLYTECHNICAL UNIV
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