Information source number estimation modeling method based on augmented weighted Geier circle matrix

A modeling method, Gael circle technology, applied in the field of communication, can solve problems such as insufficient use

Inactive Publication Date: 2020-10-02
GUANGDONG UNIV OF TECH
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Problems solved by technology

[0005] The purpose of this application is to provide a kind of information source number estimation modeling method based on the augmented weighted Gail circle matrix, in order to overcome WGDE criterion to the insufficient defect of the use of the feature in the augmented weighted Gail circle matrix, at the same time Further improve the accuracy of estimation

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  • Information source number estimation modeling method based on augmented weighted Geier circle matrix
  • Information source number estimation modeling method based on augmented weighted Geier circle matrix
  • Information source number estimation modeling method based on augmented weighted Geier circle matrix

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Embodiment Construction

[0061] In the existing technology, the GDE criterion and its improved method can only estimate the number of sources that is 2 less than the number of array antenna elements at most, while the WGDE criterion has the problem of insufficient utilization of the information of the augmented weighted Gail circle matrix . In order to overcome these technical defects, this application proposes a modeling method for estimating the number of information sources based on multiple feature fusion, and obtains the Gael circle center value, Gael Multiple features such as circle radius and weighted Gail circle radius are fused to construct a high-dimensional feature vector that can describe the number of information sources, and after calibration, it is substituted into the SVM to train a classifier that can be used to estimate the number of information sources.

[0062] The technical solution of the present application will be further described below in conjunction with specific embodiments...

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Abstract

The method is applied to an information source number estimation technology in the technical field of array signal processing. The invention discloses an information source number estimation modelingmethod based on an augmented weighted Geier circle matrix. The method comprises the following steps: receiving signals of an array antenna; constructing an augmented weighted Geier circle matrix on the basis of a weighted Geier circle criterion; multiple features such as Geiger circle center values, Geiger circle radiuses and weighted Geiger circle radiuses which can be used for describing the number of the information sources are obtained at the same time, high-dimensional feature vectors are constructed and marked, and then the high-dimensional feature vectors are substituted into a supportvector machine to train a classifier mathematical model capable of carrying out information source number estimation. The method disclosed by the invention not only can effectively estimate the numberof the signal sources under the condition that the number of the signal sources is one less than that of the array elements, but also has good performance for estimating the number of the signal sources under the environment of low signal-to-noise ratio and small snapshot number.

Description

technical field [0001] The present application relates to the field of communication technology, in particular to a modeling method for estimating the number of information sources based on an augmented weighted Gail circle matrix, which can be applied to estimating the number of information sources under overdetermined conditions in array signal processing. Background technique [0002] Accurate estimation of the number of signal sources has always been a prerequisite for accurate estimation of the direction of arrival (DOA) of a signal. If the estimated number of signal sources is inconsistent with the actual number of signal sources, the direction finding performance will be severely degraded. The most classic algorithm in the source number estimation algorithm is the method based on the information theory criterion, including the minimum information criterion (Akaike information criterion, AIC) and the minimum description length criterion (Minimum Description Length, MDL)...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F17/16H04B17/391H04B17/336
CPCG06F17/16H04B17/3912H04B17/336G06F18/2411G06F18/2414
Inventor 张冰玉田妮莉潘晴
Owner GUANGDONG UNIV OF TECH
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