Self-adaptive beam-forming method based on related calculation and clutter covariance matrix reconstruction

A covariance matrix, adaptive beam technology, applied in computing, special data processing applications, instruments, etc., can solve the problems of expected signal cancellation, increase, output signal-to-interference noise ratio decline, etc., to achieve the main lobe conformal and The effect of reduced side lobes, low computational cost, and fast convergence speed

Active Publication Date: 2016-02-03
INST OF ACOUSTICS CHINESE ACAD OF SCI
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems that the main lobe of the adaptive pattern of the SMI algorithm is deformed and the side lobe is raised, the desired signal is canceled, and the output signal-to-interference-noise ratio is seriously reduced when the sampling snapshot contains the desired signal. An adaptive beamforming method based on correlation calculation and covariance matrix reconstruction is proposed

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  • Self-adaptive beam-forming method based on related calculation and clutter covariance matrix reconstruction
  • Self-adaptive beam-forming method based on related calculation and clutter covariance matrix reconstruction
  • Self-adaptive beam-forming method based on related calculation and clutter covariance matrix reconstruction

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[0038] The present invention will be further described now in conjunction with accompanying drawing.

[0039] The method of the present invention first uses the sampling snapshot signal to calculate the sampling covariance matrix, and performs eigenvalue decomposition on the sampling covariance matrix to estimate the signal subspace; Correlation calculation, solve the eigenvector corresponding to the desired signal; then reset the eigenvalue corresponding to the desired signal, and then reconstruct a new covariance matrix; finally solve the adaptive weight vector according to the minimum variance and no distortion criterion, use this The weight vector performs weighting processing on the echo data.

[0040] The steps of the method of the present invention are described in detail below.

[0041] refer to figure 1 , the method of the present invention comprises the following steps:

[0042] Step 1), solving the array sampling covariance matrix from the finite sampling snapsho...

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Abstract

The invention relates to a self-adaptive beam-forming method based on related calculation and clutter covariance matrix reconstruction. The self-adaptive beam-forming method comprises following steps: solving an array sampling covariance matrix by limited sampling snapshot data; decomposing eigenvalue of the array sampling covariance matrix and estimating signal subspace; making related calculations between eigenvector corresponding to a signal and an assumed steering vector of a desired signal and solving eigenvector corresponding to the desired signal; resetting eigenvalue corresponding to the desired signal in order to reconstruct a new covariance matrix; solving self-adaptive weight vector based on the minimum variance orthoscopic principle by the reconstructed covariance matrix; and utilizing self-adaptive weight vector to performing weighting operation on echoed data.

Description

technical field [0001] The invention relates to array signal processing technology, in particular to an adaptive beamforming method based on correlation calculation and covariance matrix reconstruction. Background technique [0002] Array signal processing technology has been widely used in many military and national economic fields such as sonar, radar, communication, navigation, biomedical engineering, voice signal processing, and earthquake monitoring. Its two important branches are adaptive beamforming and spatial spectrum estimation. The essence of adaptive beamforming technology is to adaptively weight the received signal of each array element to form a null at the interference position and get a peak in the direction of the desired signal, so as to achieve the purpose of enhancing the desired signal, suppressing the interference signal and weakening the noise signal. According to the Minimum Variance Distortionless Response (MVDR) criterion, by constraining the array...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 闫路许枫刘佳
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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