Method for detecting underwater dim small target

A detection method and technology for weak and small targets, applied in the field of signal processing, can solve problems such as difficulty in detecting weak and small targets in water

Active Publication Date: 2017-05-17
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0005] In order to overcome the deficiencies of the existing technology, aiming at the problem of difficult detection of weak and small targets in water under the condition of low signal-to-noise ratio, combined with the needs of nonlinear feature representation in complex ocean environments, the present invention provides a weak underwater target with a lower signal-to-noise ratio. Object Detection Method

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  • Method for detecting underwater dim small target

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Embodiment Construction

[0066] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0067] The first step: extract the Lyapunov exponential matrix in the target radiation noise

[0068] Every time a reconstruction dimension m is obtained and the corresponding delay time τ is determined, an m×1 Lyapunov vector can be obtained, and the Lyapunov vectors obtained under environmental differences such as sea state, region, and season are respectively composed into a matrix with m columns, and the minimum The square method is used to obtain the Lyapunov exponent feature quantity in the target radiation noise, and the detailed steps are as follows:

[0069] First, according to the Takens reconstruction theorem, different reconstruction dimensions and delay times are taken according to the G-P algorithm to obtain the representation of the signal in different reconstruction spaces:

[0070] x(i)=[x(i),x(i+τ),...,x(i+(m-1)τ)] T ,i=1,...,n (1) ...

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Abstract

The invention provides a method for detecting an underwater dim small target, and relates to the field of signal processing. A feature layer information fusion method is used to map the feature quantity to the same high-dimensional space to be classified, and detection is carried out through classification results. In the invention, the chaos theory is used to accurately describe and realize the feature extraction of non-linear components in a target signal and the ambient noise to effectively avoid the interference of stochastic components in the ambient noise. By the use of chaotic features in the signal to detect the signal, the minimum detection signal to noise ratio can significantly be reduced and the detection probability can be improved. A stochastic resonance method is used to convert stochastic noise energy into signal energy, the capability to detect dim small targets is improved, and also the non-linear components contained in the signal can also highlighted. The classification method of the fusion center can be used to separate the false alarm, omission and the like in a single node from correct detection results to further improve the detection probability and improve the effectiveness and reliability of the underwater dim small target detection.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to a target detection method. Background technique [0002] The radiation noise level of underwater vehicles is small when they are sailing, and they are small targets. The radiation noise level of modern submarines is lower than the third-level sea state noise level when they are sailing underwater. The development of detection technology for weak and small targets at sea is slow and difficult to meet actual needs. [0003] The detection of long-distance targets in water is realized by extracting the features in the target radiation noise. The target radiation noise spectrum has a special line spectrum and continuous spectrum. The target detection can be realized by extracting the features. The line spectrum is one of the target radiation noise spectrum. Some important features have been achieved in the related research of using line spectrum to detect ship radiation noise. Li Qi...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V2201/07G06F2218/08G06F2218/12G06F18/21355G06F18/2411G06F18/253
Inventor 王海燕姚海洋马石磊申晓红张之琛贾天一白卫岗
Owner NORTHWESTERN POLYTECHNICAL UNIV
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