Multi-channel adaptive detection method and system for resisting suppression-type hydroacoustic interference

An adaptive detection, multi-channel technology, applied in the direction of radio wave measurement system, measurement device, sound wave re-radiation, etc., can solve the problem that can not meet the practical application of motion sonar, does not have the ability to accurately estimate the interference target, ignore the underwater Data sparsity and other issues

Active Publication Date: 2019-09-10
INST OF ACOUSTICS CHINESE ACAD OF SCI
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Problems solved by technology

[0004] The shortcomings of the existing multi-channel adaptive detection methods for underwater anti-suppression interference are that only the detection of interference targets and noise suppression are considered in the modeling, the sparsity of underwater data is ignored, and sparse learning based The advanced signal recovery algorithm fully excavates and obtains the information contained in the data, and accordingly does not have the ability to accurately estimate key parameters such as the energy, quantity, and angle of arrival of the suppressed jamming target, and thus cannot meet the practical application of motion sonar

Method used

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  • Multi-channel adaptive detection method and system for resisting suppression-type hydroacoustic interference
  • Multi-channel adaptive detection method and system for resisting suppression-type hydroacoustic interference
  • Multi-channel adaptive detection method and system for resisting suppression-type hydroacoustic interference

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Embodiment 1

[0067] like figure 1 As shown, Embodiment 1 of the present invention provides a multi-channel adaptive detection method for suppressing underwater acoustic interference, the method comprising:

[0068] 1. Construct a binary sparse hypothesis test

[0069] Assuming that the interference data to be detected is received by a linear array composed of N array elements, the detection of suppressing interference targets can be summarized as the following binary hypothesis test:

[0070]

[0071] where H 0 and H 1 Represents the untargeted hypothesis and the targeted hypothesis, respectively; z k , k=1,..., K represents the received K statistically independent data to be detected (also known as main data), which is an N×1-dimensional complex vector, subject to zero-mean, N-dimensional complex Gaussian distribution; M 0 and M 1 Respectively represent H 0 and H 1 Assuming the N×N dimensional interference covariance matrix:

[0072]

[0073]

[0074] In the above formula...

Embodiment 2

[0139] Embodiment 2 of the present invention provides a multi-channel self-adaptive detection system for suppressing underwater acoustic interference, and the system includes:

[0140] The data acquisition module is used to acquire the data to be detected that is subject to independent and identical distribution received by the multi-element linear array;

[0141] A parameter estimation module for estimating the parameters of pre-built binary sparse hypothesis tests using an iterative minimization sparse learning algorithm;

[0142] An anti-suppressive underwater acoustic interference detector based on sparse learning is used to calculate detection statistics based on estimated parameters and complete adaptive detection of targets.

Embodiment 3

[0144] Embodiment 3 of the present invention provides a computer device, including a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the computer program, the computer program is implemented. Example 1 method.

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Abstract

The invention discloses a multi-channel adaptive detection method for resisting suppression-type hydroacoustic interference. The multi-channel adaptive detection method comprises the steps that to-be-detected data received by a multi-array-element linear array and obeying independent identical distribution are obtained; on the basis of the to-be-detected data, parameters of a pre-established binary sparse hypothesis test are estimated; and the estimated parameters are input into a pre-established detector for resisting the suppression-type hydroacoustic interference based on sparse learning, and adaptive detection of a target is completed. According to the method and a system, sparse information is fully mined, the to-be-detected data subjected to sparse representation are solved by adopting an iterative minimization sparse learning algorithm, thus the hydroacoustic interference target is effectively detected, the key parameters such as interference energy, the number and the angle ofarrival can further be accurately estimated, and actual application is facilitated more.

Description

technical field [0001] The invention relates to the technical field of underwater acoustics, in particular to a multi-channel self-adaptive detection method and system for suppressing underwater acoustic interference. Background technique [0002] In the sonar detection system, the antenna array receives echo signals through multiple array element channels, and the received common interference sources include Gaussian white noise and artificial interference in addition to reverberation. White noise is the inherent interference that exists with the underwater acoustic channel. Artificial interference is generated by human activities, mainly active artificial underwater acoustic interference (including suppressive interference and deceptive interference). Early warning and soft kill. Among them, suppressing jamming can be regarded as a kind of noise-like jamming that is incoherent with the target signal, while deception jamming is a kind of coherent jamming that is strongly c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/537G01S7/539G01S7/52G01S15/00G01S15/88
CPCG01S7/52001G01S7/537G01S7/539G01S15/006G01S15/88
Inventor 郝程鹏闫林杰刘明刚侯朝焕
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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