Self-adaptive beam forming algorithm based on nested array and covariance matrix reconstruction

A technology of covariance matrix and adaptive beam, applied in computing, complex mathematical operations, special data processing applications, etc., can solve problems such as slow convergence speed

Inactive Publication Date: 2018-10-26
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Abstract
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, and provide an adaptive beamforming algorithm based on nested matrix a

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  • Self-adaptive beam forming algorithm based on nested array and covariance matrix reconstruction
  • Self-adaptive beam forming algorithm based on nested array and covariance matrix reconstruction
  • Self-adaptive beam forming algorithm based on nested array and covariance matrix reconstruction

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Embodiment Construction

[0044] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0045] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the compo...

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Abstract

The invention provides a self-adaptive beam forming algorithm based on nested array and covariance matrix reconstruction. The algorithm comprises the steps of S1, calculating a sample covariance matrix of a received signal; S2, uniformly dividing the whole space angle into N angle grids, and calculating a Capon power spectrum of the received signal at each angle of the angle grids; S3, carrying out spectral peak search on the Capon power spectrum to obtain direction-of-arrival estimation and power estimation of each signal source; S4, reconstructing an interference and noise covariance matrixof the received signal; S5, carrying out vectorization on the reconstructed interference and noise covariance matrix, and carrying out redundancy elimination and vector rearrangement to obtain a received data vector of a differential joint array; S6, obtaining a new sample space smoothing matrix by utilizing a spatial smoothing method; and S7, obtaining a beam forming weighted vector through the new sample space smoothing matrix and direction-of-arrival estimation of a desired signal. According to the method, the convergence speed of the sample space smoothing matrix is increased through the covariance matrix reconstruction, so that the better performance can be achieved by only requiring fewer snapshots.

Description

technical field [0001] The invention belongs to the field of array signal processing, and in particular relates to an adaptive beamforming algorithm based on nested array and covariance matrix reconstruction. Background technique [0002] Beamforming technology, also known as spatial filtering, is an array antenna technology and the most basic technology in array signal processing. It is widely used in radar, wireless communication, medical treatment, sonar and other fields. The beamforming technology achieves the purpose of suppressing interference and receiving the desired signal without distortion by changing the weight vector on the array antenna. Adaptive beamforming can adaptively change the weighting vector according to the received training sequence or communication signal, and can obtain better signal-to-interference-noise ratio of the desired signal reception and better interference suppression effect, which is the focus of practical application and research direc...

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Application Information

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IPC IPC(8): G06F17/50G06F17/16
CPCG06F17/16G06F30/20
Inventor 杨桐郑植王文钦
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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