Radio environment map field intensity parameter estimation algorithm

A parameter estimation algorithm, radio technology, applied in antenna radiation patterns, electromagnetic field characteristics, complex mathematical operations, etc., can solve the problems of not considering radio spatial distribution characteristics and propagation characteristics, prediction errors, and low accuracy of prediction results, etc., to achieve excellent prediction The effect of precision

Inactive Publication Date: 2017-05-24
XIHUA UNIV
View PDF6 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above-mentioned prior art, the purpose of the present invention is to provide a solution to the low accuracy of the prediction results due to the fact that the prior art does not consider the radio spatial distribution characteristics and propagation characteristics, or the variation function proportional effect occurs when the Kriging method data set assumption is not applicable. Even predicted wrong technical issues

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
  • Radio environment map field intensity parameter estimation algorithm
  • Radio environment map field intensity parameter estimation algorithm
  • Radio environment map field intensity parameter estimation algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0107] Field Strength Estimation Algorithm for Electromagnetic Environment Map Parameters

[0108] step 1:

[0109] (1) Calculate the distance between observation points, Get the distance matrix D between two observation points;

[0110] (2) lag=min(D), lag_max=INT(max(D) / 2 / lag), h=1:lag:lag_max, LAGS=INT(D / lag);

[0111] (3) Calculate the experimental variation function value R(i),

[0112] fori=1:lag_max

[0113] h(i)=i*lag;

[0114] SEL=(LAGS==i);

[0115] N(i)=sum(sum(SEL==1));

[0116] R(i)=sqrt(sum(G(SEL)) / (2*N(i)));

[0117] End for;

[0118] Step 2:

[0119] Through the theoretical variogram model given by formulas (9) and (12), the particle swarm optimization algorithm is used to fit the theoretical variogram model formulaγ itm and gamma itmf ,

[0120] (1) Initialization: Randomly generate the position and velocity of particles in the d-dimension of the problem space;

[0121] (2) Evaluate particles: For each particle, use the formula (15) to get the fi...

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 discloses a radio environment map field intensity parameter estimation algorithm. Based on a radio environment map parameter space estimation method used for monitoring node perception data, through combining a radio propagation signal intensity loss rule, a theory variation function model based on propagation model improvement is provided. An improved theory variation function accords with a radio signal propagation attenuation change rule. And through combining a field intensity parameter estimation characteristic, a weighted theory variation function fitting method is provided. In the method of the invention, a physical characteristic of an electromagnetic environment map parameter is tightly combined and a variation function and a fitting method are designed so as to accord with an electromagnetic environment map parameter space distribution change rule.

Description

technical field [0001] The invention relates to radio environment diagrams, in particular to an estimation algorithm for field strength parameters of radio environment diagrams Background technique [0002] The radio environment map parameter estimation methods can be divided into three categories. The first category is a direct estimation method based on spatial interpolation, the other is a method based on propagation model estimation, and the third category is a hybrid construction method based on the first two methods. The method based on the propagation model needs to know the longitude and latitude coordinates of the signal source, the antenna height, the transmission power, and even the geographic information and climate information on the propagation path, which greatly weakens the scope of application of this type of method, and because most propagation models are The empirical model of radio transmission is not very versatile. The research of Ojaniemi et al. shows ...

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): G01R29/08G01R29/10G06F17/11
CPCG01R29/0857G01R29/0892G01R29/10G06F17/11
Inventor 谢春芝高志升裴峥李瑶顺
Owner XIHUA UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap