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Method and system for training spectrum sensing model and spectrum sensing method and system

A spectrum sensing and sensing model technology, applied in transmission systems, transmission monitoring, electrical components, etc., and can solve problems such as complex matrix calculation and threshold estimation errors.

Inactive Publication Date: 2019-08-16
GLOBAL ENERGY INTERCONNECTION RES INST CO LTD +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Therefore, the present invention provides a method and system for training a spectrum sensing model, a spectrum sensing method and system, which overcome the defects of complex matrix calculation and threshold estimation error in the spectrum sensing methods in the prior art

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  • Method and system for training spectrum sensing model and spectrum sensing method and system
  • Method and system for training spectrum sensing model and spectrum sensing method and system
  • Method and system for training spectrum sensing model and spectrum sensing method and system

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Embodiment 1

[0031] An embodiment of the present invention provides a method for training a spectrum sensing model, which can be applied to the sensing frequency band of a 230MHz power wireless private network (only this frequency band is used as an example, but not limited thereto), such as figure 1 As shown, the method for training the spectrum sensing model includes the following steps:

[0032] Step S1: Obtain the spectrum sampling covariance matrix of the radio signal used as the training set.

[0033] In the embodiment of the present invention, the radio signal includes: a radio signal with a spectrum in an idle state and a radio signal with a spectrum in an occupied state. In practice, the primary user (PU) signal in the radio signal will have a certain correlation after multipath fading, multi-antenna reception or oversampling, but the white noise in the channel has no such correlation, so we can use this A point is used to detect whether there is a PU signal, and the covariance mat...

Embodiment 2

[0062] An embodiment of the present invention provides a spectrum sensing method, such as image 3 As shown, the spectrum sensing method includes the following steps:

[0063] Step S10: collecting radio signals to be detected in real time.

[0064] In the embodiment of the present invention, radio signals are collected in real time at the receiving end of the antenna.

[0065] Step S11: Obtain the spectrum sampling covariance matrix of the radio signal to be detected.

[0066] In the embodiment of the present invention, the spectral sampling covariance matrix of the real-time radio signal to be detected is obtained through the method described in formula (3) and formula (4) in embodiment 1.

[0067] Step S12: converting the spectrum sampling covariance matrix of the radio signal to be detected into grayscale information of the radio signal to be detected.

[0068] In the embodiment of the present invention, after the spectrum sampling covariance matrix of the radio signal t...

Embodiment 3

[0073] An embodiment of the present invention provides a system for training a spectrum sensing model, such as Figure 4 As shown, the system for training the spectrum sensing model includes:

[0074] The spectrum sampling covariance matrix acquisition module 1 is used to acquire the spectrum sampling covariance matrix of the radio signal used as the training set. This module executes the method described in step S1 in Embodiment 1, which will not be repeated here.

[0075] The grayscale information acquisition module 2 is configured to convert the spectrum sampling covariance matrix into grayscale information of radio signals. This module executes the method described in step S2 in Embodiment 1, which will not be repeated here.

[0076] The spectrum sensing model acquisition module 3 is used to train the convolutional neural network model using the grayscale information as feature data to obtain a spectrum sensing model. This module executes the method described in step S3...

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Abstract

The invention discloses a method and system for training a spectrum sensing model, and a spectrum sensing method and system. The spectrum sensing method comprises the following steps of acquiring a to-be-detected radio signal in real time; obtaining a frequency spectrum sampling covariance matrix of the radio signal to be detected; converting the frequency spectrum sampling covariance matrix of the to-be-detected radio signal into th egrey-scale map information of the to-be-detected radio signal; and determining a spectrum sensing result corresponding to the to-be-detected radio signal according to the grey-scale map information of the to-be-detected radio signal. According to the present invention, by extracting the characteristics from the sampling covariance matrix of the received radiosignal by using the convolutional neural network model, the detection performance deterioration of an energy detection method under a low signal-to-noise ratio and the prior information of a signal required by a cyclic stationary feature detection method are avoided, and by using the convolutional neural network for learning the characteristics of the covariance matrix, the complexity of matrix operation during characteristic extraction and the errors during threshold estimation are avoided, and finally, the requirements of real-time detection and real-time blind detection are met.

Description

technical field [0001] The present invention relates to the field of spectrum sensing, in particular to a method and system for training a spectrum sensing model, and a spectrum sensing method and system. Background technique [0002] With the development of mobile wireless communication technology, spectrum resources are becoming more and more scarce. Many licensed frequency bands are idle but do not allow other signal transmission, resulting in a great waste of spectrum resources. Therefore, cognitive radio (Cognitive Radio, CR) The concept of spectrum sharing is proposed, that is, an intelligent spectrum sharing technology that can sense "spectrum holes" in real time, that is, the idle frequency bands allocated to licensed users but not used, and carry out spectrum sharing without interfering with the transmission of primary users. Efficient utilization, so the application of spectrum sensing technology was born. [0003] As the core technology of cognitive radio, spectr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/391H04B17/382
CPCH04B17/382H04B17/391
Inventor 张东磊安春燕李建岐陆阳院成龙方景辉邵炜平郑伟军唐锦江
Owner GLOBAL ENERGY INTERCONNECTION RES INST CO LTD
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