Submatrix-level orthogonal projection (OP) wave beam forming method based on covariance matrix normalization

A technology of covariance matrix and orthogonal projection, which is applied in the direction of radio wave measurement systems and instruments, can solve the problems of increased side lobe, unequal output power of subarray noise, and influence on accuracy, etc., to achieve interference suppression and high output The effect of signal-to-interference-noise ratio and fast convergence speed

Active Publication Date: 2015-09-23
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

However, when the OP algorithm is applied to the sub-array level, the uneven division of the sub-arrays will cause the noise output power of each sub-array to be unequal, which will affect the accuracy of the MDL c

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  • Submatrix-level orthogonal projection (OP) wave beam forming method based on covariance matrix normalization
  • Submatrix-level orthogonal projection (OP) wave beam forming method based on covariance matrix normalization
  • Submatrix-level orthogonal projection (OP) wave beam forming method based on covariance matrix normalization

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[0019] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0020] The present invention provides a subarray-level orthogonal projection beamforming method based on covariance matrix normalization. Firstly, the subarray-level received signals are normalized, and the corresponding normalized sampling covariance matrix is ​​calculated; Then use the MDL criterion to estimate the number of interference signal sources, and then obtain the interference subspace; finally, project the static weight vector to the orthogonal complement space of the interference subspace to obtain the adaptive weight vector. In the case of uneven division of sub-arrays and low sampling snapshots, the present invention can effectively suppress interference, reduce the shape of the main lobe and side lobes of the adaptive pattern, and obtain higher output SINR and Faster convergence speed. Process flow of the present invention such as figure ...

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Abstract

The invention discloses a submatrix-level OP wave beam forming method based on covariance matrix normalization. The method can be used to effectively inhibit interference, make a main lobe of a self-adaptive directional diagram conformal, reduce side lobes the self-adaptive directional diagram and obtain higher output SINR and convergence speed. The method comprises that submatrix-level reception signals are normalized, and a corresponding normalized sampling covariance matrix is calculated; the amount of interference signal sources is estimated by utilizing the MDL criterion, and further an interference subspace is obtained; and finally, the static weight vector is projected to an orthogonal complement space of the interference subspace to obtain a self-adaptive weight vector.

Description

technical field [0001] The invention relates to the technical field of array signal processing, in particular to a subarray-level orthogonal projection beamforming method based on covariance matrix normalization. Background technique [0002] Array signal processing is an important branch in the field of signal processing, and it has been widely used in radar, sonar, communication, navigation, earthquake monitoring, speech signal processing, and biomedical engineering. Adaptive beamforming is an important research content in array signal processing. Its essence is to perform spatial filtering by adaptively weighting each array element, so as to achieve the purpose of enhancing desired signal, suppressing interference signal and weakening noise signal. Minimum Variance Distortionless Response (MVDR) is a commonly used algorithm, which suppresses interference by constraining the array gain to be 1 in the desired signal direction and minimizing the array output power. The cova...

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Application Information

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IPC IPC(8): G01S7/36
CPCG01S7/36
Inventor 杨小鹏曾涛闫路李帅胡晓娜
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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