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Autonomous detection sonar multi-target DOA estimation method based on information fusion

An autonomous detection, multi-target technology, applied in the field of underwater acoustic detection, can solve problems such as inability to detect targets, inability to accurately detect weak targets or long-distance targets, and insufficient operating distance.

Active Publication Date: 2020-06-12
HARBIN ENG UNIV
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AI Technical Summary

Problems solved by technology

[0002] The lack of resolution and insufficient range of sonar passive detection have always been difficult problems in the field of underwater acoustic detection
The capabilities of traditional DOA estimation techniques are also limited due to the limited array space
The main problem is that in the case of limited array space, it is impossible to accurately detect weak or long-distance targets
At the same time, in the presence of strong interference, it is impossible to effectively detect nearby targets of strong interference
Moreover, at the moment when multiple targets exist at the same time, its target resolution ability is not enough to distinguish adjacent targets

Method used

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  • Autonomous detection sonar multi-target DOA estimation method based on information fusion
  • Autonomous detection sonar multi-target DOA estimation method based on information fusion

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specific Embodiment 1

[0056] The present invention provides an autonomous detection sonar multi-target DOA estimation method based on information fusion, said method comprising the following steps:

[0057] Step 1: Perform FFT processing on the channel data of each array element to obtain the frequency domain data corresponding to each array element, divide the frequency bands according to the narrowband conditions, and obtain the frequency band data of each channel;

[0058] Step 2: Combine the divided frequency band data of each channel according to the directivity of the vector array to obtain a covariance matrix;

[0059] Step 3: Projecting the covariance matrix to the characteristic subspace, using eigendecomposition to obtain the main eigenvector, selecting different signal components according to the eigenvalue sorting, and selecting the signal component;

[0060] Step 4: Estimate the spatial spectrum of the signal component, record the maximum confidence of the signal component spatial spec...

specific Embodiment 2

[0111] In the mth sensor, the frequency band f received by the sensor is k The data of is projected to the signal subspace, and I signal components are selected Signal component U i Spectral estimation is performed in the angular search range Θ.

[0112]

[0113] in f received by sensor m k Frequency band data, the i-th signal component U obtained by projection i The estimated spatial spectrum, are L scanning angles, a(θ l ) is the angle θ l The corresponding steering vector. right Perform a peak search and select the largest peak. Here you can pre-set the threshold threshold to limit the spectral peaks, only keep the spectral peaks exceeding the threshold threshold, and record the spectral peak confidence, angle value, frequency band f k .

[0114] Combining the results of multiple sensors and multiple frequency bands, three types of result information are finally classified, namely: confidence result information, angle result information, and frequency band...

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Abstract

The invention relates to an autonomous detection sonar multi-target DOA estimation method based on information fusion. According to the invention, FFT processing is carried out on channel data of eacharray element to obtain frequency domain data corresponding to each array element, frequency band division is carried out according to a narrowband condition to obtain frequency band data of each channel, and combination is carried out according to directivity to obtain a covariance matrix. The covariance matrix is projected to a feature subspace, a main feature vector is obtained by using feature decomposition, different signal components are selected according to feature value sorting, and signal components are selected; spatial spectrum estimation is carried out on the signal component, the maximum confidence coefficient of the spatial spectrum of the signal component is recorded, the angle orientation corresponding to the maximum confidence coefficient and the angle orientation frequency band contribution distribution are taken as result information, whether a target exists or not is judged according to the result information, and an angle result is calculated; and the angle result information of the plurality of sensors is integrated, and result information fusion is performed by adopting an information fusion method to obtain a final angle result.

Description

technical field [0001] The invention relates to the technical field of underwater acoustic detection position, and relates to an autonomous detection sonar multi-target DOA estimation method based on information fusion. Background technique [0002] The lack of resolution and insufficient range of sonar passive detection has always been a difficult problem in the field of underwater acoustic detection. Considering the complexity and variability of the marine environment and the concealment of targets, a large number of signal processing algorithms have been proposed in history. The traditional DOA estimation technology usually uses multi-array elements to receive data for beamforming, and then obtains the spatial spectrum through steering vector scanning, and then performs DOA estimation by selecting the maximum or maximum value of the spatial spectrum. Due to the limited array space, the capabilities of traditional DOA estimation techniques are also limited. The main prob...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/539G01S15/88G06K9/00G06K9/46G06K9/62
CPCG01S15/88G01S7/539G06V10/48G06F2218/02G06F2218/08G06F2218/12G06F18/213G06F18/254
Inventor 邹男李晨牧张光普王燕梁国龙齐滨邱龙皓
Owner HARBIN ENG UNIV
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