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Cooperative spectrum detection method based on Cholesky matrix decomposition and eigenvalue

A collaborative spectrum sensing and eigenvalue technology, applied in the field of spectrum detection, can solve problems such as limitations and difficult detection thresholds

Inactive Publication Date: 2014-08-06
XIDIAN UNIV +1
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Problems solved by technology

This method can resist the influence of noise uncertainty and has good detection performance, but it is difficult to accurately determine the detection threshold, which limits the practical application

Method used

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  • Cooperative spectrum detection method based on Cholesky matrix decomposition and eigenvalue
  • Cooperative spectrum detection method based on Cholesky matrix decomposition and eigenvalue
  • Cooperative spectrum detection method based on Cholesky matrix decomposition and eigenvalue

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Embodiment Construction

[0052] refer to figure 1 , the implementation steps of the present invention are as follows:

[0053]Step 1, each testing user collects data and reports it to the processing center.

[0054] 1.1) Each detection user uses a corresponding filter to filter out the signal of the frequency band according to the frequency band of the signal to be detected;

[0055] 1.2) Under the premise of satisfying the sampling theorem, collect the data of this frequency band, and obtain the collected data x i (n), where n=1,...,N; i=1,...,M, where N is the number of sampling points for each detected user, and M is the number of detected users;

[0056] 1.3) The collected data x i (n) Report to the processing center.

[0057] Step 2, the processing center according to the reported data x i (n), get the normalized covariance matrix R' x .

[0058] 2.1) The processing center constructs a data matrix X with M rows and N columns according to the data reported by each detection user:

[0059] ...

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Abstract

The invention discloses a cooperative spectrum detection method based on Cholesky matrix decomposition and an eigenvalue. The cooperative spectrum detection method mainly solves the problem that the detection threshold of an existing cooperative spectrum detection method based on the eigenvalue cannot be easily determined. The method comprises the implementation steps that (1) detection users collect data of frequency bands according to the frequency bands to be detected, and upload the data to a processing center; (2) the processing center builds a normalization covariance matrix according to the data uploaded to the processing center, and carries out Cholesky decomposition on the normalization covariance matrix; (3) detection statistics are calculated by using the decomposition result, and the probability distribution of the detection statistics is analyzed; (4) a judgment threshold under a target false alarm probability is calculated according to the probability distribution of the detection statistics; (5) the processing center compares the detection statistics and the detection threshold, and judges whether a main user signal exists or not. The cooperative spectrum detection method based on Cholesky matrix decomposition and the eigenvalue has the advantages of being accurate in detection threshold and high in detection performance, and can be used for wireless communication.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a spectrum detection method, which can be used for spectrum detection in a perception network and a cognitive radio system. Background technique [0002] With the development of sensory networks and their popularization in daily life, research on key technologies for sensory networks has received extensive attention. Among them, the spectrum detection technology is an important key technology in the perception network, which determines whether to use the current frequency band by detecting whether the frequency band is free or not. At the same time, with the development of wireless communication and mobile communication, people have higher and higher requirements on communication technology, and more and more services are required, which makes limited spectrum resources increasingly scarce. Under the current static spectrum allocation framework, many spectrum resour...

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Application Information

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IPC IPC(8): H04B17/00H04W16/14H04W24/00
Inventor 李赞周福辉杨鼎高锐关磊黄海燕刘向丽齐佩汉胡伟龙熊天意
Owner XIDIAN UNIV
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