Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Idle frequency spectrum detecting method by using cyclic spectrum statistic value in cognitive radio

A technology of cognitive radio and idle spectrum, which is applied in the field of idle spectrum detection and cognitive radio idle spectrum detection, and can solve the problem of weak signal of authorized primary user detected by cognitive users

Inactive Publication Date: 2010-01-20
HARBIN INST OF TECH
View PDF0 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for detecting idle spectrum using cyclic spectrum statistics in cognitive radio, so as to solve the problems caused by factors such as shadow and deep fading in the existing cognitive radio, and the signal of the primary user authorized by the cognitive user detection is weak and misjudgment

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Idle frequency spectrum detecting method by using cyclic spectrum statistic value in cognitive radio
  • Idle frequency spectrum detecting method by using cyclic spectrum statistic value in cognitive radio
  • Idle frequency spectrum detecting method by using cyclic spectrum statistic value in cognitive radio

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0021] Specific embodiment one: the steps of this embodiment are as follows: step one: first perceive the real part of the cyclic spectrum of the signal received by the user Z = Re [ S y A ( l ) ] = S y A ( l ) + S y A ( l ) ‾ 2 Modeled under a white Gaussian noise channel as a random variable with the following mean and variance:

[0022] Z ~ Norm ...

specific Embodiment approach 2

[0034] Embodiment 2: This embodiment is a further description of step 1 in Embodiment 1. The process of deriving the probability density distribution of cyclic spectrum statistics adopts the following steps:

[0035] Step A: The discrete frequency domain solution expression of the cyclic spectrum of the signal is as follows,

[0036] S y a ( f ) = 1 ( N - 1 ) T s M Σ u = - ( M - 1 ) / 2 ( M - ...

specific Embodiment approach 3

[0095] Specific embodiment three: the difference between this embodiment and embodiment one is that it also includes step 4, calculating the accuracy probability of the detection result:

[0096] When C<0,

[0097] P D = ∫ - ∞ T 1 2 π ( D + B ) e - ( z - C ) 2 2 ( D + B ) dz ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an idle frequency spectrum detecting method by using cyclic spectrum statistic value in a cognitive radio. The invention relates to a method for detecting idle frequency spectrums by using cyclic spectrum statistic value. The method solves the error judgment problem caused by that in the existing cognitive radio, owing to the influence of factors such as shadow, shading depth and the like, a cognitive user detects feeble signals of an authorized master user. The method comprises the following steps of: firstly, modeling the real part of the cyclic spectrum of signals received by the cognitive user to obeyed mean value and random variable of variance in a gauss white noise channel; step two, by probability distribution under the H0 assumed condition, and obtaining signal judgment threshold under the given false-alarm probability index; step three, allowing the idle frequency spectrum to be used when C is larger than or equal to 0 and the real part Z of the cyclic spectrum of the received signals is less than the judgment threshold T, or when C is less than 0 and the real part Z of the cyclic spectrum of the received signals is larger than the judgment threshold T; otherwise, not allowing the non idle frequency spectrum to be used. The method can cause the cognitive user to detect the signals of the authorized master user under the lower signal-to-noise ratio condition.

Description

technical field [0001] The invention relates to a method for detecting idle frequency spectrum by using cyclic spectrum statistics. It belongs to the technical category of cognitive radio idle frequency spectrum detection. Background technique [0002] In recent years, with the rapid development of wireless communication services, more and more wireless spectrum resources are required, and spectrum resources are becoming more and more scarce. Cognitive Radio is an opportunistic way to share and improve spectrum utilization. rate technology. The concept of cognitive radio was first proposed by Dr. Joseph Mitola of Sweden. The purpose of cognitive radio vacant spectrum sensing is to find available vacant licensed frequency bands, then allocate frequencies in this vacant frequency band, and set corresponding parameters for communication. Therefore, spectrum sensing is an important part of cognitive radio system work. [0003] In the actual wireless environment, the transmis...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/00H04B17/382
Inventor 石磊张中兆
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com