Self-adaptive beam forming method based on covariance reconstruction and guide vector compensation

An adaptive beam and steering vector technology, applied in space transmit diversity, radio transmission systems, electrical components, etc., and can solve problems such as adaptive pattern distortion, main lobe deformation, and adaptive pattern deformation.

An adaptive beam and steering vector technology, applied in space transmit diversity, radio transmission systems, electrical components, etc., and can solve problems such as adaptive pattern distortion, main lobe deformation, and adaptive pattern deformation.

CN104270179AInactive Publication Date: 2015-01-07BEIJING INSTITUTE OF TECHNOLOGYGY

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Self-adaptive beam forming method based on covariance reconstruction and guide vector compensation
  • Self-adaptive beam forming method based on covariance reconstruction and guide vector compensation
  • Self-adaptive beam forming method based on covariance reconstruction and guide vector compensation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0044] The present invention provides an adaptive beamforming method based on covariance matrix reconstruction and steering vector error compensation. First, the eigenvalue decomposition is performed on the sampling covariance matrix, and the noise subspace is estimated by using the MDL criterion, and then the Root-MUSIC method is used. Estimate the incident angle of the signal source, and judge the incident angle of the desired signal, and then reconstruct the new interference plus noise covariance matrix; then compensate the mismatch of the desired signal steering vector by solving the quadratic constrained quadratic programming problem; finally The adaptive weight vector is obtained by using the reconstructed new interference-plus-noise covariance matrix and the revised steering vector. The specific implementation process is as follows figure 1 As show...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a self-adaptive beam forming method based on covariance reconstruction and guide vector compensation. According to the method, in the situation that desired signals exist in sampling snapshot and signal guide vectors are mismatched, interference can be effectively inhibited, main lobe shape preservation and side lobes of a self-adaptive directional diagram can be reduced, and high output SINR and quick convergence speed can be obtained. According to the method, eigenvalue decomposition is carried out on a sampling covariance matrix, noise sub space is estimated by means of an MDL criterion, the incident angle of a signal source is estimated in a Root-MUSIC method, the incident angle of the desired signals is judged, and then a new interference and noise covariance matrix is reconstructed; mismatching of the guide vectors of the desired signals is compensated by solving a quadratic programming problem with quadratic constraints; ultimately, a self-adaptive weight vector is solved by means of the reconstructed new interference and noise covariance matrix and the corrected guide vectors, a null is formed in the interference direction in a self-adaptive mode, and interference is effectively inhibited.

Description

technical field [0001] The invention relates to the technical field of array signal processing, in particular to an adaptive beamforming method based on covariance matrix reconstruction and steering vector error compensation. Background technique [0002] Array signal processing is an important branch in the field of signal processing. It has been widely used in many military and national economic fields such as radar, sonar, communication, navigation, biomedical engineering, voice signal processing, and earthquake monitoring. Adaptive beamforming is an important research part of array signal processing. Its essence is to form a null at the interference position and get a peak in the direction of the desired signal by adaptively weighting each array element, so as to enhance the desired signal and suppress interference. signal and the purpose of attenuating the noise signal. Among them, Minimum Variance Distortionless Response (MVDR) is a commonly used adaptive beamforming ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
07 Jan 2015
Publication
CN104270179A
IPC
H04B7/04
CPC
H04B7/0617
Inventors
杨小鹏; 闫路