CN107294623B - Novel communication base station electromagnetic radiation prediction method - Google Patents
Novel communication base station electromagnetic radiation prediction method Download PDFInfo
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- CN107294623B CN107294623B CN201710466822.2A CN201710466822A CN107294623B CN 107294623 B CN107294623 B CN 107294623B CN 201710466822 A CN201710466822 A CN 201710466822A CN 107294623 B CN107294623 B CN 107294623B
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- 230000005670 electromagnetic radiation Effects 0.000 title claims abstract description 22
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- H—ELECTRICITY
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- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
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Abstract
The invention discloses a novel communication base station electromagnetic radiation prediction method, which comprises the following specific steps: decomposing a vertical radiation directional diagram of a base station antenna into a high-frequency part and a low-frequency part through wavelet transformation; carrying out high-frequency filtering on the vertical radiation directional diagram of the base station antenna to remove a high-frequency part and obtain a low-frequency part of the vertical radiation directional diagram of the base station antenna; substituting the low-frequency part of the vertical radiation directional diagram of the base station antenna into a base station electromagnetic radiation prediction formula for calculation to obtain a predicted value. The invention carries out high-frequency filtering on the vertical radiation directional diagram of the base station antenna, and improves the accuracy of the electromagnetic radiation prediction of the communication base station.
Description
Technical Field
The invention relates to a communication base station electromagnetic radiation prediction method.
Background
The vertical directional diagram of the base station antenna represents the gain change of the base station antenna in space, and is an important parameter for accurately predicting the electromagnetic Radiation of the base station, but the vertical directional diagram of the base station has very large leap in the space change, so that the predicted value has large leap with the distance change (wandererley P.H.S., Terada M.A.B., "radio properties of radio base antennas with the large leap affected by Ikegami-Walfisch model", SBMO/IEEE MTT-S International Microwave and optoelectronic Conference, pp.459-463,2009.). However, the actual measured values often vary very slowly with distance (Buckus, R., and P. Baltrenas. "Research and analysis of electromagnetic radiation from mobile telephone base station in response to information, International Conference on microwave radio and Wireless Communications IEEE, pp.171-175,2012.). This is because, in theoretical prediction, only the direct wave is usually considered, the radiation size of the direct wave depends on the antenna gain, the actual measurement value is a complex superposition of multipath propagation, and the actual measurement value does not change rapidly with the change of distance, which causes a large difference between the predicted value and the actual measurement value, and there is no effective solution at present.
Disclosure of Invention
The invention provides a novel communication base station electromagnetic radiation prediction method, aiming at solving the problem of larger deviation between the theoretical prediction and the actual test of the electromagnetic radiation of a GSM communication base station.
The technical scheme for solving the problems comprises the following steps:
a novel communication base station electromagnetic radiation prediction method relates to filtering processing of a base station antenna vertical radiation directional diagram, and is characterized by comprising the following steps:
1) performing wavelet decomposition on a vertical radiation pattern G (theta) of the base station antenna on a scale j, and decomposing the vertical radiation pattern G (theta) of the base station antenna into a low-frequency part and a high-frequency part;
the base station antenna vertical radiation pattern G (theta) is wavelet decomposed into
In the above formula, j is the wavelet decomposition scale, k is the offset parameter, a (j, k) and d (j, k) are the low frequency coefficient and the high frequency coefficient respectively, phij,k(theta) and psij,k(theta) are respectively a parent wavelet and a mother wavelet in the wavelet basis functions, and the low-frequency part isThe high frequency part is
The specific calculation method of a (j, k) and d (j, k) is
a(j,k)=<G(θ),φj,k(θ)>
d(j,k)=<G(θ),ψj,k(θ)>
In the above formula<G(θ),φj,k(θ)>Is phij,kThe inner product of (theta) and G (theta),<G(θ),ψj,k(θ)>is psij,kInner product of (theta) and G (theta).
2) G from step 1)j(theta) carrying out high-frequency filtering to obtain a low-frequency part of a vertical radiation directional diagram of the base station antenna;
3) and obtaining an electromagnetic radiation predicted value around the base station by utilizing the low-frequency part of the antenna radiation pattern of the base station obtained in the step 2) and combining a microwave far-field calculation method.
Wherein the low-frequency part of the vertical radiation pattern of the base station antenna in the step 2) is
The predicted value of the electromagnetic radiation of the base station in the step 3) is
In the above formula, P is the base station transmitting power, GmaxAnd d is the distance from the predicted point to the antenna of the base station.
The invention has the beneficial effects that:
1. the vertical radiation pattern of the base station antenna is filtered, so that the electromagnetic radiation predicted value of the base station is more slowly changed along with the distance and is closer to the actual measured value;
2. the method can provide a more accurate prediction method of the electromagnetic radiation of the communication base station, and has good social benefits in the aspects of electromagnetic radiation evaluation, environmental protection, base station construction schemes and the like. .
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Fig. 1 is a schematic diagram of an antenna installation position in an embodiment.
Detailed Description
The invention is further described below with reference to the figures and examples.
The specific implementation environment is as follows: the base station antenna is arranged on the roof, the antenna model is Andrew 858DG65T6ESY, and the antenna Gmax17.8dB, the antenna height from the ground is 20.3 m, and the base station transmit power P is 20W, as shown in fig. 1, where d is the horizontal distance.
The technical scheme of the invention comprises the following specific steps:
1) the vertical radiation pattern G (θ) with an antenna model of Andrew 858DG65T6ESY is downloaded from a website of an Andrew manufacturer, wherein G (θ) ([ 8.6,5.8, 3.6,2,0.9,0.2, 0.9, …,12.6], the unit is dB, G (θ) contains 360 data, and the gain attenuation values on θ are 0 °,1 °,2 °,3 °, …, and 359 °.
G (θ) is decomposed by a wavelet above the scale j-3, in this particular embodiment, using the sym5 wavelet,
when j is 3, the low-frequency part is
When j is 3, the high frequency part is
2) Mixing g of step 1)j(theta) carrying out high-frequency filtering to obtain a low-frequency part of a vertical radiation pattern of the base station antenna:
3) selecting a test point, if a certain point is selected, the horizontal distance from the base station antenna is 150 meters, and the height of the antenna is 20.3 meters, thenMeter, the vertical lobe angle can be calculated
θ=arcsin(20.3/151.37)/π*180=7.7°
Rounding theta to obtain theta as 8 degrees, and selecting corresponding thetaSubstituting 2.5dB into the electromagnetic radiation predicted value of the base station
According to the above calculation method, in the present embodiment, the horizontal distance d is 30-150 meters, which is used as the test points, and each test point is 10 meters apart, as shown in table one. And calculating a vertical lobe angle theta according to the horizontal distance, and then calculating a predicted value EgMeanwhile, the implementation case also calculates according to the original antenna directional diagram G (theta) to obtain a predicted value EGA 1 is mixing Eg、EGAnd comparing the actual measured values to find EgMore closely to the actual measured value, changeMore gently, if G (θ) is 40dB when θ is 22 °, E is obtained by predicting the electromagnetic radiation level at the point according to the gain attenuation value in the original antenna vertical patternGA sudden change of this magnitude, which is 0.04v/m and almost 0, is not possible in reality, E, if calculated in the low-frequency part of the vertical radiation pattern of the base station antennagThe electromagnetic radiation intensity changes much more gradually with distance and is closer to reality at 0.37v/m, confirming that the method is effective.
Table-electromagnetic radiation prediction value and actual measurement value
Claims (3)
1. A novel communication base station electromagnetic radiation prediction method relates to filtering processing of a base station antenna vertical radiation directional diagram, and is characterized by comprising the following steps:
1) performing wavelet decomposition on a vertical radiation pattern G (theta) of the base station antenna on a scale j, and decomposing the vertical radiation pattern G (theta) of the base station antenna into a low-frequency part and a high-frequency part;
the base station antenna vertical radiation pattern G (theta) is wavelet decomposed into
In the above formula, θ is the vertical lobe angle, the unit is degree, j is the wavelet decomposition scale, k is the offset parameter, a (j, k) and d (j, k) are the low frequency coefficient and the high frequency coefficient respectively, φj,k(theta) and psij,k(theta) are respectively a parent wavelet and a mother wavelet in the wavelet basis functions, and the low-frequency part isThe high frequency part is
A (j, k) and d (j, k) are equal to
a(j,k)=<G(θ),φj,k(θ)>
d(j,k)=<G(θ),ψj,k(θ)>
In the above formula<G(θ),φj,k(θ)>Is phij,kThe inner product of (theta) and G (theta),<G(θ),ψj,k(θ)>is psij,kThe inner product of (θ) and G (θ);
2) g from step 1)j(theta) high-frequency filtering is carried out to obtain the low-frequency part of the vertical radiation directional diagram of the base station antenna
3) And obtaining an electromagnetic radiation predicted value around the base station by utilizing the low-frequency part of the antenna radiation pattern of the base station obtained in the step 2) and combining a microwave far-field calculation method.
3. The method as claimed in claim 1, wherein the predicted value of the electromagnetic radiation of the base station is
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CN108362951B (en) * | 2018-02-26 | 2020-11-03 | 湘潭大学 | Base station electromagnetic radiation interval evaluation method |
CN108646100B (en) * | 2018-05-14 | 2020-12-04 | 湘潭大学 | Method for detecting electromagnetic radiation change mutation of TD-SCDMA base station |
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CN103874090A (en) * | 2014-03-31 | 2014-06-18 | 湘潭大学 | GSM communication base station electromagnetic radiation prediction method |
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US7663542B1 (en) * | 2004-11-04 | 2010-02-16 | Lockheed Martin Corporation | Antenna autotrack control system for precision spot beam pointing control |
CN103874090A (en) * | 2014-03-31 | 2014-06-18 | 湘潭大学 | GSM communication base station electromagnetic radiation prediction method |
CN105227227A (en) * | 2015-10-15 | 2016-01-06 | 宿州学院 | A kind of intelligent antenna beam based on small echo forms system and method |
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