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A Spectrum Sensing Method and System Based on Gated Recurrent Unit

A spectrum sensing and recurrent unit technology, applied in the field of spectrum sensing, can solve the problems of high complexity, achieve the effect of low complexity, reduce resource overhead, and ensure the accuracy of perception

Active Publication Date: 2022-04-15
SUN YAT SEN UNIV
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Problems solved by technology

The existing (Long Short-Term Memory, LSTM) based spectrum sensing method benefits from the natural advantages of the cyclic neural network model in processing time series, and has achieved good performance, but the complexity is high

Method used

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  • A Spectrum Sensing Method and System Based on Gated Recurrent Unit
  • A Spectrum Sensing Method and System Based on Gated Recurrent Unit
  • A Spectrum Sensing Method and System Based on Gated Recurrent Unit

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Embodiment Construction

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0053] It should be understood that the step numbers used herein are only for convenience of description, and are not intended to limit the execution order of the steps.

[0054] It should be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in this specification and the appended claims, the singular forms "a", "an"...

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Abstract

The invention discloses a novel spectrum sensing method and system, which can realize high-performance and low-consumption spectrum sensing for a frequency band of a higher frequency point with a lower sampling rate. Average the absolute value of the sampling sequence through window sliding to reduce the dimension of the input and reduce the amount of calculation; the network model uses a gated recurrent unit (GRU) to achieve higher performance while having fewer parameters and lower complexity; the spectrum sensing The problem is regarded as a regression problem and the idea of ​​​​multi-threshold is applied, and the distance threshold value participating in the judgment is set according to different accuracy and perception quantity requirements, and the frequency band is judged as being occupied or not according to the distance between the output and 0 and 1; Citing the idea of ​​self-adaptation, according to the fuzzy degree of the output probability, different perception speeds are adjusted and selected to ensure the accuracy of perception and the sufficient number of preparations and reduce unnecessary resource overhead. Therefore, the present invention can reduce resource overhead while ensuring perception accuracy, and the method has certain adaptability in different scenarios.

Description

technical field [0001] The present invention relates to the technical field of spectrum sensing, in particular to a spectrum sensing method and system based on a gated cycle unit. Background technique [0002] Due to the increasing number of wireless communication devices, limited wireless spectrum resources are becoming increasingly scarce. Cognitive radio technology enables different users to use the same spectrum resources, that is, spectrum sharing. Spectrum sensing is to find out idle spectrum resources called "spectrum holes" in multiple dimensions such as time domain, frequency domain and air domain as accurately as possible in a complex and changeable electromagnetic environment for allocation and utilization. The performance of spectrum sensing detection based on machine learning is good, and it has been widely researched at present. The existing spectrum sensing method based on (Long Short-Term Memory, LSTM) benefits from the natural advantages of the recurrent n...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/382G06N3/04
CPCH04B17/382G06N3/04
Inventor 罗志勇王西提
Owner SUN YAT SEN UNIV
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