Data preprocessing based covariance matrix orthogonalization wave-beam forming method

A technology of covariance matrix and data preprocessing, used in radio wave measurement systems, instruments, etc.

Inactive Publication Date: 2012-12-19
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0004] Aiming at the problem that the conventional GS orthogonalization (RGS) algorithm based on covariance matrix cannot be directly applied to the problem of includin

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  • Data preprocessing based covariance matrix orthogonalization wave-beam forming method
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Embodiment

[0119] In order to verify the improved RGS algorithm proposed by the present invention, beamforming and output SINR simulations are performed, and the simulation parameters are shown in Table 1.

[0120]

[0121] Note: "OPT" in the following simulations represents the adaptive weight vector obtained under ideal conditions, "XGS" represents the adaptive weight vector of the conventional array received data vector orthogonalization (XGS) algorithm, and "MXGS" represents the data pre-set The processed adaptive weight vector of the improved XGS (MXGS) algorithm, "RGS" indicates the adaptive weight vector calculated by the conventional RGS algorithm, and "MRGS" indicates the improved RGS (MRGS) algorithm of the present invention.

[0122] figure 2 It is a comparison chart of the improved RGS (MRGS) algorithm of the present invention and the conventional RGS algorithm adaptive direction diagram. In the simulation, there are 1 desired signal and 3 interference signals, and the in...

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Abstract

The invention provides a data preprocessing based covariance matrix orthogonalization wave-beam forming method aiming at solving the problem that the conventional covariance matrix based GS (Gram-Schmidt) orthogonalization (RGS) algorithm can not be directly used for training snapshot and contains desired signal information and belonging to the technical field of adaptive wave-beam forming. The data preprocessing based covariance matrix orthogonalization wave-beam forming method comprises the following steps of: firstly preprocessing training snapshot, and rejecting a desired signal; then estimating the covariance matrix by utilizing preprocessed data, and forming an interference subspace by carrying out GS orthogonalization on lines of the covariance matrix; and finally carrying out orthogonal projection on a corresponding static weight vector towards the interference subspace to obtain an adaptive weight vector. In the invention, in order to more accurately estimate the interference subspace, an adaptive threshold of orthogonalization is corrected on the basis of preprocessing; and when the training snapshot is mixed with the desired signal, the data preprocessing based covariance matrix orthogonalization wave-beam forming method provided by the invention can greatly enhance the anti-interference property of an array.

Description

technical field [0001] The invention belongs to the technical field of adaptive beamforming, and relates to a covariance matrix orthogonalization beamforming method based on data preprocessing. Background technique [0002] Adaptive beamforming technology is an emerging antenna beamforming technology since the 1980s. This technology samples signals from different directions in space, adaptively adjusts the weighting factors of each array element according to the change of the signal environment, and finally achieves the purpose of enhancing the desired signal and filtering out the interference signal and noise through weighted addition processing. This technology can make full use of the spatial information obtained by the array antenna and greatly improve the anti-interference ability of the array. After decades of development, adaptive beamforming technology has been widely used and researched in many fields such as radar, communication, sonar, navigation, speech signal p...

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Application Information

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IPC IPC(8): G01S7/36
Inventor 杨小鹏曾涛胡晓娜龙腾
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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