CN111030770B - Electromagnetic radiation prediction method for mountain area base station - Google Patents

Electromagnetic radiation prediction method for mountain area base station Download PDF

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CN111030770B
CN111030770B CN201911336122.7A CN201911336122A CN111030770B CN 111030770 B CN111030770 B CN 111030770B CN 201911336122 A CN201911336122 A CN 201911336122A CN 111030770 B CN111030770 B CN 111030770B
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base station
mountain area
electromagnetic radiation
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station signal
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CN111030770A (en
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杨万春
郑利洋
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Xiangtan University
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/373Predicting channel quality or other radio frequency [RF] parameters
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R29/00Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
    • G01R29/08Measuring electromagnetic field characteristics
    • G01R29/0807Measuring electromagnetic field characteristics characterised by the application
    • G01R29/0814Field measurements related to measuring influence on or from apparatus, components or humans, e.g. in ESD, EMI, EMC, EMP testing, measuring radiation leakage; detecting presence of micro- or radiowave emitters; dosimetry; testing shielding; measurements related to lightning
    • G01R29/0857Dosimetry, i.e. measuring the time integral of radiation intensity; Level warning devices for personal safety use
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters

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  • Engineering & Computer Science (AREA)
  • Electromagnetism (AREA)
  • Quality & Reliability (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • General Physics & Mathematics (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Monitoring And Testing Of Transmission In General (AREA)

Abstract

The invention discloses a method for predicting electromagnetic radiation of a mountain area base station, which considers the influence of forest density and topographic relief degree on the electromagnetic radiation of the mountain area base station, obtains the path loss of a mountain area base station signal through the forest density of the mountain area, the wavelength of the base station signal and the straight line distance from a base station transmitting antenna to a predicted point, obtains the average shadow fading of the mountain area base station signal according to the topographic relief degree of the mountain area, and finally calculates the electromagnetic radiation intensity of the mountain area base station by combining the path loss and the average shadow fading. The method can quickly and accurately predict the electromagnetic radiation intensity of the base station in the mountain area, has a high reference value for researching the electromagnetic radiation exposure condition of the base station, and has certain social benefits.

Description

Electromagnetic radiation prediction method for mountain area base station
Technical Field
The invention relates to a method for predicting electromagnetic radiation of a mountain area base station.
Background
With the increasing degree of social informatization, mobile communication technology has penetrated into various aspects of people's life, and the influence of electromagnetic radiation generated by mobile communication base stations on the environment and public health is receiving wide attention from society. At present, the research on the electromagnetic radiation intensity of the base station is concentrated in urban areas, and the propagation distance of the base station signal and the attenuation caused by buildings are mainly considered. However, under the vegetation coverage and the complex terrain in the mountainous region, an effective method for predicting the electromagnetic radiation intensity of the base station is also lacked.
Aiming at the defects of the prior art, the invention provides a method for predicting electromagnetic radiation of a mountain area base station. According to the method, the influence of forest density and topographic relief degree on electromagnetic radiation of the mountain area base station is considered, the path loss of the mountain area base station signal is obtained through the forest density of the mountain area, the wavelength of the base station signal and the straight line distance from a base station transmitting antenna to a predicted point, the average shadow fading of the mountain area base station signal is obtained according to the topographic relief degree of the mountain area, and finally the electromagnetic radiation intensity of the mountain area base station is calculated by combining the path loss and the average shadow fading. Experiments show that the method provided by the invention can accurately predict the electromagnetic radiation intensity of the base station in the mountain area.
Disclosure of Invention
In order to solve the technical problem, the invention provides a method for predicting electromagnetic radiation of a mountain area base station, which comprises the following steps:
1) calculating the path loss of the mountain area base station signal according to the forest density of the mountain area, the wavelength of the base station signal and the linear distance from the base station transmitting antenna to the predicted point;
2) calculating the average shadow fading of the base station signals in the mountainous region according to the topographic relief degree of the mountainous region and the wavelength of the base station signals;
3) and calculating the electromagnetic radiation intensity of the base station in the mountain area according to the path loss of the mountain area base station signal obtained in the step 1) and the average shadow fading of the mountain area base station signal obtained in the step 2).
In the method for predicting electromagnetic radiation of a mountain area base station, in step 1), the path loss of a mountain area base station signal is as follows:
Figure BDA0002330970130000011
in the above formula, L represents the path loss of the base station signal in the mountain area, and has a unit of dB, n represents the forest density in the mountain area, and has a unit of berm/square meter, d represents the linear distance from the base station transmitting antenna to the predicted point, and has a unit of kilometer, and λ represents the wavelength of the base station signal, and has a unit of meter.
In the method for predicting electromagnetic radiation of a mountain area base station, in step 2), the average shadow fading of signals of the mountain area base station is as follows:
Figure BDA0002330970130000021
in the above formula, S represents a mountain area base station signalIn dB, λ represents the wavelength of the base station signal in meters, hmaxThe altitude of the highest point of landform in the mountain region is expressed in meter, hminThe elevation of the geodesic nadir in the mountain area is expressed in meters.
In the method for predicting electromagnetic radiation of the base station in the mountain area, in step 3), the electromagnetic radiation intensity of the base station in the mountain area is as follows:
Figure BDA0002330970130000022
in the above formula, E represents the indoor electromagnetic radiation intensity with the unit of V/m, PtThe unit of the base station transmitting power is W, the unit of G is base station antenna gain, the unit of G is dB, L is path loss of a mountain area base station signal, the unit of dB is S is average shadow fading of the mountain area base station signal, the unit of dB is D is straight line distance from a base station transmitting antenna to a predicted point, and the unit of kilometer is kilometer.
The invention has the beneficial effects that: the influence of forest density and topographic relief degree on electromagnetic radiation of the mountain area base station is considered, the path loss of the mountain area base station signal is obtained through the forest density of the mountain area, the wavelength of the base station signal and the straight line distance from the base station transmitting antenna to the predicted point, the average shadow fading of the mountain area base station signal is obtained according to the topographic relief degree of the mountain area, and finally the electromagnetic radiation intensity of the mountain area base station is calculated by combining the path loss and the average shadow fading. The method can be used for rapidly and accurately predicting the electromagnetic radiation intensity of the base station in the mountain area, has a high reference value for researching the electromagnetic radiation exposure condition of the base station, and has certain social benefits.
Detailed Description
The present invention will be described in further detail with reference to specific embodiments. The present embodiment is performed on the premise of the present disclosure, and detailed implementation procedures are given, but the scope of the present disclosure is not limited to the following embodiments.
In this embodiment, the electromagnetic radiation intensity of the WCDMA base station in the mountain area is predicted, and the experimental measurement devices for verifying the prediction result are a portable spectrum analyzer, Keysight FieldFox N9918A and a periodic logarithmic antenna, HyperLOG 60180.
The invention provides an indoor base station electromagnetic radiation prediction method, which comprises the following steps:
1) calculating the path loss of the mountain area base station signal according to the forest density of the mountain area, the wavelength of the base station signal and the linear distance from the base station transmitting antenna to the predicted point;
2) calculating the average shadow fading of the base station signals in the mountainous region according to the topographic relief degree of the mountainous region and the wavelength of the base station signals;
3) and calculating the electromagnetic radiation intensity of the base station in the mountain area according to the path loss of the mountain area base station signal obtained in the step 1) and the average shadow fading of the mountain area base station signal obtained in the step 2).
In step 1), the forest density n in the mountain area is 0.4/square meter, the linear distance d from the base station transmitting antenna to the predicted point is 0.31 km, and the wavelength λ of the base station signal is 0.1403 m, so the path loss of the base station signal in the mountain area is:
Figure BDA0002330970130000031
in the step 2), the wavelength λ of the base station signal is 0.1403 m, and the altitude h of the geodesic peak in the mountain area is hmax311 m, altitude h of geodesic lowest point in mountain areamin185 meters, so the average shadow fading of the mountain area base station signal is:
Figure BDA0002330970130000032
in the step 3), the base station transmits power Pt16W, 20dB of base station antenna gain G, 56.16dB of path loss L of mountain area base station signal, 18.14dB of average shadow fading S of mountain area base station signal, and pre-antenna transmission of base station to pre-antennaThe linear distance d of the measuring point is 0.31 kilometer, so the electromagnetic radiation intensity of the base station in the mountain area is as follows:
Figure BDA0002330970130000033
in the embodiment, the spectrum analyzer is used for measuring the electromagnetic radiation intensity of the WCDMA base station in the mountain area, the measured value is 0.00141V/m, and the measured value is basically consistent with the predicted value of the method used by the invention, so that the electromagnetic radiation intensity of the base station in the mountain area can be accurately and quickly predicted by using the method, and the effectiveness of the method used by the invention is verified.

Claims (1)

1. A method for predicting electromagnetic radiation of a mountain area base station is characterized by comprising the following steps:
1) calculating the path loss of the mountain area base station signal according to the forest density of the mountain area, the wavelength of the base station signal and the linear distance from the base station transmitting antenna to the predicted point:
Figure FDA0003327499990000013
in the above formula, L represents the path loss of the base station signal in the mountain area, and has a unit of dB, n represents the forest density in the mountain area, and has a unit of berm/square meter, d represents the linear distance from the base station transmitting antenna to the predicted point, and has a unit of kilometer, and λ represents the wavelength of the base station signal, and has a unit of meter;
2) calculating the average shadow fading of the mountain area base station signals according to the topographic relief degree of the mountain area and the wavelength of the base station signals:
Figure FDA0003327499990000011
in the above formula, S represents the average shadow fading of the base station signal in the mountain area, and λ represents the wavelength of the base station signal in meter, hmaxThe altitude of the highest point of landform in the mountain region is expressed in meter, hminThe altitude of the geodesic lowest point in the mountain region is expressed in meters;
3) calculating the electromagnetic radiation intensity of the base station in the mountainous region according to the path loss of the base station signal in the mountainous region obtained in the step 1) and the average shadow fading of the base station signal in the mountainous region obtained in the step 2):
Figure FDA0003327499990000012
in the above formula, E represents the indoor electromagnetic radiation intensity with the unit of V/m, PtThe unit of the base station transmitting power is W, the unit of G is base station antenna gain, the unit of G is dB, L is path loss of a mountain area base station signal, the unit of dB is S is average shadow fading of the mountain area base station signal, the unit of dB is D is straight line distance from a base station transmitting antenna to a predicted point, and the unit of kilometer is kilometer.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1098546A2 (en) * 1999-11-04 2001-05-09 Lucent Technologies Inc. Methods and apparatus for derivative based optimization of wireless network performance
CN103116161A (en) * 2013-01-25 2013-05-22 北京理工大学 SAR (synthetic aperture radar) forest secondary scattering effective path calculating method based on rugged topography
CN104965959A (en) * 2015-07-23 2015-10-07 北京联合大学 Assessment method for anti-electromagnetic interference performance of wireless communication system
CN105163327A (en) * 2014-05-26 2015-12-16 普天信息技术有限公司 Method for network program simulation of wireless communication system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1098546A2 (en) * 1999-11-04 2001-05-09 Lucent Technologies Inc. Methods and apparatus for derivative based optimization of wireless network performance
CN103116161A (en) * 2013-01-25 2013-05-22 北京理工大学 SAR (synthetic aperture radar) forest secondary scattering effective path calculating method based on rugged topography
CN105163327A (en) * 2014-05-26 2015-12-16 普天信息技术有限公司 Method for network program simulation of wireless communication system
CN104965959A (en) * 2015-07-23 2015-10-07 北京联合大学 Assessment method for anti-electromagnetic interference performance of wireless communication system

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
Characterization of Low-Antenna Ultrawideband Propagation in a Forest Environment;Christopher R. Anderson 等;《IEEE Transactions on Vehicular Technology》;20130322;2878-2895 *
The Duty Cycle Analysis for Electromagnetic Field Exposure From WLAN in a Busy Period;Wanchun Yang 等;《IEEE Transactions on Electromagnetic Compatibility》;20160721;1772-1775 *
基于地形信息的电磁场环境建模研究;杨晓云 等;《现代防御技术》;20130415(第02期);192-196 *
复杂植被山地丘陵地环境下LTE覆盖增强技术研究;朱中振;《中国优秀硕士学位论文全文数据库 信息科技辑》;20190115;I136-1620 *
山地环境中基于WSN的数据收集算法研究;张恒;《中国优秀硕士学位论文全文数据库 信息科技辑》;20190115;I136-899 *

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