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Half-blindness collaborative spectrum sensing method with reliable false-alarm performance

A collaborative and false alarm technology, applied in the field of spectrum sensing, can solve the problems of complex judgment threshold calculation, unstable false alarm performance, complex numerical calculation, etc., to achieve reliable false alarm performance, reduce implementation complexity, and low complexity Effect

Inactive Publication Date: 2015-05-27
HUNAN UNIV
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AI Technical Summary

Problems solved by technology

However, the above two methods also have some common problems: First, the false alarm performance is unstable
Second, the calculation of the perceptual decision threshold is complex
The determination of the theoretical decision threshold of the above two methods involves the solution of the Tracy-Widom distribution, and the calculati

Method used

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  • Half-blindness collaborative spectrum sensing method with reliable false-alarm performance
  • Half-blindness collaborative spectrum sensing method with reliable false-alarm performance
  • Half-blindness collaborative spectrum sensing method with reliable false-alarm performance

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Embodiment approach

[0047] Define the sampling covariance matrix of the received signal data vector as:

[0048] R ^ x = 1 L Σ l = 1 L x ( l ) x ( l ) T - - - ( 2 )

[0049] Assume The P eigenvalues ​​of At the same time, set the Gaussian background noise statistical covariance matrix R η The P eigenvalues ​​of λ 1 , lambda 2 ..., λ P . Note that when the main user signal does not appear, it can be known from the theorem of large numbers that The P eigenvalues ​​of will be numerically close to R η P eigenvalues ​​of ; and when the primary user signal appears, d...

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Abstract

The invention relates to a half-blindness collaborative spectrum sensing method with reliable false-alarm performance. The method is used for constructing statistical decision amount by utilizing all characteristic values of a sample covariance matrix, and comprises the following steps: firstly, sampling a signal of a collaborative sensing node so as to form a received signal data vector; then calculating the sample covariance matrix of the received signal by utilizing the received signal data vector, and calculating all the characteristic values of the matrix; then constructing the statistical decision amount by utilizing the obtained characteristic values, and calculating the sensing decision threshold based on a simple closed expression; and finally, implementing multi-node collaborative sensing decision, wherein when the statistical decision amount is greater than the set threshold value, a master user signal exists, otherwise, when the statistical decision amount is less than the threshold value, the master user signal does not exist. The method provided by the invention can be used for achieving half-blindness detection under the condition of being lack of the master user signal and the statistical information of a wireless channel, and good detection performance is shown at the application occasions of the low signal to noise ratio, relatively weak relevance between received signal samples and the like.

Description

technical field [0001] The invention relates to a spectrum sensing method applied in a cognitive radio system, and belongs to the technical field of cognitive radio in wireless communication. Background technique [0002] Cognitive radio technology provides a feasible method to alleviate the contradiction between the scarcity of spectrum resources and the increasing demand for spectrum, so this technology has attracted extensive attention from industry and academia since its appearance. The core idea is that cognitive users can opportunistically use the authorized frequency band of the primary user without affecting the communication quality of the primary user, which is the so-called spectrum hole. In this context, designing a spectrum sensing method with good performance to effectively detect spectrum holes naturally becomes a key issue. [0003] Due to the existence of factors such as shadow fading, hidden terminals, primary users and unknown channel information, the des...

Claims

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Application Information

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IPC IPC(8): H04B17/382
Inventor 雷可君谭阳红杨喜
Owner HUNAN UNIV
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