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Estimation Algorithm of Field Strength Parameters in Radio Environment Map

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 space distribution characteristics and propagation characteristics, low prediction result accuracy, prediction errors, etc., to achieve excellent prediction The effect of precision

Inactive Publication Date: 2019-03-29
XIHUA UNIV
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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

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  • Estimation Algorithm of Field Strength Parameters in Radio Environment Map
  • Estimation Algorithm of Field Strength Parameters in Radio Environment Map
  • Estimation Algorithm of Field Strength Parameters in Radio Environment Map

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Experimental program
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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...

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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

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Application Information

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Patent Type & Authority Patents(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
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