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Adaptive Spectrum Sensing Method, System, Medium and Terminal Based on Pre-Evaluation Processing

A spectrum sensing and self-adaptive technology, applied in the transmission system, transmission monitoring, electrical components, etc., can solve the problems of rough sensing process, large spectrum sensing uncertainty, no pre-evaluation processing, etc., to achieve easy promotion and application, Ease of technology, effect of improved precision

Active Publication Date: 2022-02-11
SHANGHAI ADVANCED RES INST CHINESE ACADEMY OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] On the one hand, due to the limitation of user terminal equipment, the traditional spectrum sensing technology uses a single antenna at the receiving end for processing, and the uncertainty of spectrum sensing is relatively large.
[0011] On the other hand, the traditional perception algorithm is more direct, usually based on the detection content to directly perform the perception operation without pre-evaluation processing, and the perception process is relatively rough

Method used

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  • Adaptive Spectrum Sensing Method, System, Medium and Terminal Based on Pre-Evaluation Processing
  • Adaptive Spectrum Sensing Method, System, Medium and Terminal Based on Pre-Evaluation Processing
  • Adaptive Spectrum Sensing Method, System, Medium and Terminal Based on Pre-Evaluation Processing

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Experimental program
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Effect test

Embodiment 1

[0095] Embodiment 1. Feature detection, multi-antenna quantity judgment

[0096] Step 1. It is set that the receiving end of the cognitive user has a total of one receiving antenna, and each antenna independently executes its own decision process. First, according to the given sensing cycle length of the system, each antenna collects signals within the range of the cycle length. where the received signal on the i-th antenna (i∈[1,I]) can be expressed as r i (n)=h i s(n)+v i (n), n∈[0,nn-1] represents each sampling point, and nn represents the total number of sampling points, which is related to the given perception period length of the system. h i =[h i1 ,h i2 ] is the channel state between the two transmitting antennas of the primary user and the ith receiving antenna of the cognitive user, s(n)=[s 1 (n),s 2 (n)] T , v i (n) represents the additive white Gaussian noise on the i-th antenna.

[0097] Step 2. The r of each receiving antenna i (n) After the collection...

Embodiment 2

[0103] Embodiment 2, feature detection, multi-antenna feature combination judgment

[0104] Step 1. The receiving end of the cognitive user has a total of I receiving antennas, and each antenna performs its own decision process independently. First, according to the given sensing cycle length of the system, each antenna collects signals within the range of the cycle length. where the received signal on the i-th antenna (i∈[1,I]) can be expressed as r i (n)=h i s(n)+v i (n), n∈[0,nn-1] represents each sampling point, and nn represents the total number of sampling points, which is related to the given perception period length of the system. h i =[h i1 ,h i2 ] is the channel state between the two transmitting antennas of the primary user and the ith receiving antenna of the cognitive user, s(n)=[s 1 (n),s 2 (n)] T , v i (n) represents the additive white Gaussian noise on the i-th antenna.

[0105] Step 2. The r of each receiving antenna i (n) After the collection is c...

Embodiment 3

[0111] Embodiment 3, energy detection, multi-antenna number judgment

[0112] Step 1. The receiving end of the cognitive user has a total of I receiving antennas, and each antenna performs its own decision process independently. First, according to the given sensing cycle length of the system, each antenna collects signals within the range of the cycle length. where the received signal on the i-th antenna (i∈[1,I]) can be expressed as r i (n)=h i s(n)+v i (n), n∈[0,nn-1] represents each sampling point, and nn represents the total number of sampling points, which is related to the given perception period length of the system. h i =[h i1 ,h i2 ] is the channel state between the two transmitting antennas of the primary user and the ith receiving antenna of the cognitive user, s(n)=[s 1 (n),s 2 (n)] T , v i (n) represents the additive white Gaussian noise on the i-th antenna.

[0113] Step 2. The r of each receiving antenna i (n) After the collection is completed, its ...

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Abstract

The present invention provides an adaptive spectrum sensing method, system, medium, and terminal based on pre-evaluation processing, including the following steps: for multiple antennas, obtaining detection information of each antenna for other users in the target frequency band; according to the detection Obtain the sensing result of whether the other user transmits in the target frequency band through the detection information, and when the sensing result is in an unstable state, re-perform spectrum sensing according to the first transition probability or perform a final decision according to the second transition probability. The self-adaptive spectrum sensing method, system, medium, and terminal based on pre-assessment processing of the present invention utilize the signal reception independence between multiple antennas of user terminal equipment, perform pre-evaluation of spectrum sensing based on the detection results of multiple antennas, and then perform comprehensive Perceptual judgment, which significantly improves the accuracy of spectrum sensing.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to an adaptive spectrum sensing method, system, medium and terminal based on pre-assessment processing. Background technique [0002] In recent years, with the development of wireless communication technology and the popularization of smart terminals, mobile users' demand for data communication has increased significantly, which has brought enormous pressure to limited spectrum resources. In order to utilize spectrum resources more effectively, cognitive radio (Cognitive Radio, CR) technology has received extensive attention from academia and industry. The CR network is composed of primary users and cognitive users. Cognitive users can identify blank frequency bands that are not currently used by primary users through spectrum sensing technology, and use these spectrum resources for temporary data transmission. Therefore, in CR networks, the spectrum sensing...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/382H04W16/14H04W72/04
CPCH04B17/382H04W16/14H04W72/0453
Inventor 徐天衡周婷胡宏林
Owner SHANGHAI ADVANCED RES INST CHINESE ACADEMY OF SCI
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