Cooperative frequency spectrum sensing method based on fuzzy integral and optimization theory

A technology of fuzzy integration and cooperative spectrum, which is applied in the field of spectrum sensing in cognitive radio, to achieve the effect of improving accuracy and promoting application prospects

Inactive Publication Date: 2010-05-19
BEIJING UNIV OF POSTS & TELECOMM
View PDF0 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The "evidence theory" method has taken into account the reliability of the perception information sent to the fusion center by different perception users, but there is still a lot of room for improvement in the detection performance of this method

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
  • Cooperative frequency spectrum sensing method based on fuzzy integral and optimization theory
  • Cooperative frequency spectrum sensing method based on fuzzy integral and optimization theory
  • Cooperative frequency spectrum sensing method based on fuzzy integral and optimization theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.

[0034] see image 3 , introduce the specific operation steps of the cooperative spectrum sensing method based on fuzzy integration and optimization theory of the present invention:

[0035] Step 1 (see figure 2 shown), each sensing user (SU) uses an energy detection algorithm to perform local spectrum sensing respectively, and makes two types of assumptions according to whether the signal of the primary user (PU) exists: H, which indicates that the primary user signal does not exist 0 Status and H indicating the presence of the primary user signal 1 state; that is, in the cognitive radio CR system, the energy detection target of each sensory user is that the received signal x(t) detected by the sensory user is divided into two types according to the followin...

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 a cooperative frequency spectrum sensing method based on a fuzzy integral and optimization theory, which comprises the following steps of: respectively carrying out local frequency spectrum sensing by all sensing users and performing two assumptions according to the existence condition of a main user signal; respectively transmitting detecting statistical data to a fusing center; respectively setting two fuzzy integrators, four fuzzy measuring degrees and corresponding fuzzy evaluating methods for the two assumptions by the fusing center, respectively transmitting two different training sequences of the existence of the main user signal, obtaining an optimal numerical value of the four fuzzy measuring degrees by an optimization method and respectively calculating fuzzy integral values of all the sensing users in the two fuzzy integrators on the basis of the obtained optimal fuzzy measuring degree; and finally performing final judgment according to a preset judging policy. The invention leads a final judging result of the fusing center to fully consider the uncertainty of detecting results of all the sensing users by the fuzzy integral and optimization theory and greatly improves the detecting accuracy of the whole sensing radio system frequency spectrum.

Description

technical field [0001] The present invention relates to a new technology of cognitive radio (CR), specifically, to a cooperative spectrum sensing method based on fuzzy integration and optimization theory, and belongs to the technical field of spectrum sensing in cognitive radio. Background technique [0002] First introduce several technical concepts involved in the patent application of the present invention: [0003] Cognitive radio: Cognitive radio is an intelligent communication technology evolved from software radio (SDR), which can interact with the radio frequency environment, and adaptively adjust and change its own communication parameters (such as transmit power, sub-carrier frequency, etc.). etc.), and occupy the available spectrum resources in the radio frequency environment in a way that does not interfere with the primary user (PU), thereby improving the effective utilization of the spectrum. The basic starting point of cognitive radio is: on the basis of not ...

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): H04B17/00H04B17/373H04B17/382
Inventor 吕铁军刘伟东
Owner BEIJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products