CN111257653B - Electromagnetic radiation prediction method under underground pedestrian passageway scene - Google Patents

Electromagnetic radiation prediction method under underground pedestrian passageway scene Download PDF

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CN111257653B
CN111257653B CN202010046683.XA CN202010046683A CN111257653B CN 111257653 B CN111257653 B CN 111257653B CN 202010046683 A CN202010046683 A CN 202010046683A CN 111257653 B CN111257653 B CN 111257653B
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CN111257653A (en
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杨万春
谌艺然
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Xiangtan University
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    • G01R29/0807—Measuring electromagnetic field characteristics characterised by the application
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Abstract

The invention discloses an electromagnetic radiation prediction method under an underground pedestrian passageway scene, which is characterized in that a space rectangular coordinate system is established according to cuboid characteristics of an underground pedestrian passageway, and multiple reflections in four different directions, namely an upper direction, a lower direction, a left direction and a right direction, are considered according to positions of wireless transmitting equipment and a prediction point to obtain the received power P of the prediction pointrAnd further obtaining the electromagnetic radiation intensity E of the predicted point. By the evaluation method provided by the invention, the influence of multiple reflections on the surfaces of the buildings on electromagnetic radiation transmission under the underground pedestrian passageway scene is considered, the electromagnetic radiation intensity of the mobile wireless equipment under the underground pedestrian passageway scene can be rapidly and accurately predicted and evaluated, and certain social benefits are achieved.

Description

Electromagnetic radiation prediction method under underground pedestrian passageway scene
Technical Field
The invention relates to an electromagnetic radiation prediction method under an underground pedestrian passageway scene.
Background
With the rapid development of mobile communication technology, personal mobile devices have become necessities for life, and mobile networks have attracted attention because the electromagnetic radiation generated by the mobile networks has potential threat to human bodies while bringing convenience to the life of people. With the construction of more and more highway overpasses and subways in cities, underground pedestrian paths are used more and more, but in the published documents and patents at present, no effective method for predicting the electromagnetic radiation of mobile wireless equipment exists in the underground pedestrian path scene.
Aiming at the defects in the prior art, the patent provides an electromagnetic radiation prediction method under an underground pedestrian passageway scene, which is characterized in that a space rectangular coordinate system is established according to the cuboid characteristics of the underground pedestrian passageway, and the multiple reflections in four different directions, namely an upper direction, a lower direction, a left direction and a right direction, are considered according to the positions of wireless transmitting equipment and a prediction point to obtain the received power P of the prediction pointrAnd further obtaining the electromagnetic radiation intensity E of the predicted point.
Disclosure of Invention
In order to solve the technical problem, the invention provides an electromagnetic radiation prediction method in an underground pedestrian passageway scene.
The technical scheme for solving the technical problems comprises the following steps:
(1) establishing a space rectangular coordinate system according to the cuboid characteristics of the underground pedestrian passageway to obtain a coordinate X of the wireless transmitting equipmentt(x1,y1,z1) And coordinates X of the predicted pointR(x2,y2,z2) The coordinate unit is m;
(2) obtaining the coordinate X of the wireless transmitting equipment according to the step (1)t(x1,y1,z1) And coordinates X of the predicted pointR(x2,y2,z2) Calculating the projection length P of the connecting line of the wireless transmitting equipment and the predicted point on the ground1In the unit of m; calculating the projection length P of the wireless transmitting equipment and the predicted point connecting line on the wall with x equal to 02In the unit of m;
(3) according to the projection length P of the connecting line of the wireless transmitting equipment and the predicted point on the ground obtained in the step (2)1And the projection length P of the wireless transmitting equipment and the predicted point connecting line on the x-0 wall2Obtaining the incident angle theta of the electric wave at n times of reflection in the s directionsnIn units of rad; s is 1, 2, 3 and 4, and represents four directions of the underground pedestrian passageway; s-1 indicates that the first reflection of the radio wave is reflected on the top layer, s-2 indicates that the first reflection of the radio wave is reflected on the ground, s-3 indicates that the first reflection of the radio wave is reflected on the wall x-0, and s-4 indicates that the first reflection of the radio wave is reflected on the wall x-a; a is the width of the pedestrian underground passage, and the unit is m;
(4) according to the projection length P of the connecting line of the wireless transmitting equipment and the predicted point on the ground obtained in the step (2)1And the projection length P of the wireless transmitting equipment and the predicted point connecting line on the x-0 wall2And the incident angle theta of the electric wave obtained in the step (3) during n times of reflection in the s directionsnObtaining the total path length L of the electric wave when n times of reflection is carried out on the s directionsnIn the unit of m;
(5) obtaining the coordinate X of the wireless transmitting equipment according to the step (1)t(x1,y1,z1) And coordinates X of the predicted pointR(x2,y2,z2) Calculating the linear distance L between the wireless transmitting equipment and the prediction point0In the unit of m;
(6) according to the incident angle theta of the electric wave obtained in the step (3) during n times of reflection in the s directionsnObtaining the reflection coefficient R of n reflections in the s directionsn；
(7) Obtaining the total path length L of the electric wave when the electric wave is reflected for n times in the s direction according to the step (4)snAnd (4) obtaining the linear distance L between the wireless transmitting equipment and the prediction point in the step (5)0And the reflection coefficient R of n reflections in the s direction obtained in the step (6)snCalculating the receiving power P of the predicted pointrThe unit is W;
(8) according to the predicted point received power P obtained in the step (7)rAnd receiving the antenna parameters to obtain the electromagnetic radiation intensity E of the predicted point, wherein the unit is V/m.
In the method for predicting electromagnetic radiation in underground pedestrian passageway scene, in the step (1), a spatial rectangular coordinate system is established to obtain a coordinate X of the wireless transmitting equipmentt(x1,y1,z1) And coordinates X of the predicted pointR(x2,y2,z2) In the unit of m; wherein x1Distance from the wireless transmitting device to the left wall; x is the number of2To predict the distance of the point to the left wall; z is a radical of1The distance from the wireless transmitting equipment to the ground; z is a radical of2Predicting the distance between the point and the ground; y is1Is the distance of the wireless transmitting device to the xOz plane; y is2To predict the distance of the point to the xOz plane.
In the above method for predicting electromagnetic radiation in the underground pedestrian passageway scene, in the step (2), the projection length P of the connection line between the wireless transmitting device and the prediction point on the ground is1And the projection length P of the wireless transmitting equipment and the predicted point connecting line on the x-0 wall2The calculation is as follows:
Figure GDA0003011256980000021
Figure GDA0003011256980000022
in the above formula, x1X-axis coordinates that are coordinates of the wireless transmitting device; x is the number of2An x-axis coordinate which is a predicted point coordinate; z is a radical of1Z-axis coordinates that are coordinates of the wireless transmitting device; z is a radical of2Z-axis coordinates which are coordinates of the predicted points; y is1Y-axis coordinates that are coordinates of the wireless transmitting device; y is2Y-axis coordinates that are predicted point coordinates.
In the above method for predicting electromagnetic radiation in the underground pedestrian passageway scene, in the step (3), the projection length P of the connection line between the wireless transmitting device and the prediction point obtained in the step (2) on the ground is combined1And the projection length P of the wireless transmitting equipment and the predicted point connecting line on the x-0 wall2Angle of incidence θ of electric wave at n reflections in s directionsnThe calculation is as follows:
Figure GDA0003011256980000031
in the above formula, a is the width of the pedestrian underground passage, and the unit is m; b is the height of the pedestrian underground passage, and the unit is m; z is a radical of1Z-axis coordinates that are coordinates of the wireless transmitting device; z is a radical of2Z-axis coordinates which are coordinates of the predicted points; x is the number of1X-axis coordinates that are coordinates of the wireless transmitting device; x is the number of2An x-axis coordinate which is a predicted point coordinate; n is the number of reflections in units of times that the radio wave propagates from the radio transmitting device to the predicted point.
In the above method for predicting electromagnetic radiation in the underground pedestrian passageway scene, in the step (4), the projection length P of the connection line between the wireless transmitting device and the prediction point obtained in the step (2) on the ground is combined1And the projection length P of the wireless transmitting equipment and the predicted point connecting line on the x-0 wall2And the incident angle theta of the electric wave obtained in the step (3) during n times of reflection in the s directionsnS squareTotal path length L of electric wave in n-times reflection on bitsnThe calculation is as follows:
Figure GDA0003011256980000032
in the above formula, sin θsnIs thetasnIs calculated as a sine function of (c).
In the above method for predicting electromagnetic radiation in the underground pedestrian passageway scene, in the step (5), the coordinate X of the wireless transmitting device obtained in the step (1) is combinedt(x1,y1,z1) And coordinates X of the predicted pointR(x2,y2,z2) Obtaining the linear distance L between the wireless transmitting equipment and the prediction point0The calculation is as follows:
Figure GDA0003011256980000041
in the above formula, x1X-axis coordinates that are coordinates of the wireless transmitting device; x is the number of2An x-axis coordinate which is a predicted point coordinate; z is a radical of1Z-axis coordinates that are coordinates of the wireless transmitting device; z is a radical of2Z-axis coordinates which are coordinates of the predicted points; y is1Y-axis coordinates that are coordinates of the wireless transmitting device; y is2Y-axis coordinates that are predicted point coordinates.
In the above method for predicting electromagnetic radiation in the underground pedestrian passageway scene, in the step (6), the incident angle θ of the electric wave obtained in the step (3) during n reflections in the s direction is combined withsnObtaining the reflection coefficient R of n reflections in the s directionsnThe calculation is as follows:
Figure GDA0003011256980000042
in the above formula, sin θsnIs thetasnA sine function of (a); cos θsnIs thetasnThe cosine function of (a); ε is the dielectric constant of the wall.
Power-off in underground pedestrian passageway sceneA magnetic radiation prediction method, wherein in the step (7), the total path length L of the electric wave at the time of n reflections in the s direction obtained in the step (4) is combinedsnAnd (4) obtaining the linear distance L between the wireless transmitting equipment and the prediction point in the step (5)0And the reflection coefficient R of n reflections in the s direction obtained in the step (6)snTo obtain the predicted point received power PrThe calculation is as follows:
Figure GDA0003011256980000043
in the above formula, PtIs the wireless device transmit power in units of W; gtThe gain is the transmit antenna gain in dBi; v is the maximum number of reflections in units of times; λ is the wavelength in m.
In the above method for predicting electromagnetic radiation in the underground pedestrian passageway scene, in the step (8), the predicted point received power P obtained in the step (7) is combinedrAnd receiving the antenna parameters to obtain the electromagnetic radiation intensity E of the predicted point, and calculating as follows:
Figure GDA0003011256980000044
in the above formula, E is the electromagnetic radiation intensity of the predicted point, and the unit is V/m; prFor predicting the point received power, the unit is W; z is the impedance of the radio frequency cable, and the unit is ohm; AF is a receiving antenna factor, and the unit is dB/m; AFRFTo measure the cable loss of the system, the unit is dB.
The invention has the beneficial effects that: the method comprises the steps of establishing a rectangular space coordinate system according to cuboid characteristics of an underground pedestrian passageway, and obtaining receiving power P of a predicted point by considering multiple reflections in four different directions, namely an upper direction, a lower direction, a left direction and a right direction according to positions of wireless transmitting equipment and the predicted pointrAnd further obtaining the electromagnetic radiation intensity E of the predicted point. By the evaluation method provided by the invention, the electromagnetic radiation of multiple reflections on the surfaces of four buildings under the underground pedestrian passage scene is consideredThe propagation influence can quickly and accurately predict and evaluate the electromagnetic radiation intensity of the mobile wireless equipment in the underground pedestrian passageway scene, and has certain social benefit.
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FIG. 1 is a schematic representation of a rectangular spatial coordinate system according to the present invention.
Detailed Description
The present invention will be further described with reference to the following examples.
The implementation object of the invention is a mobile wireless device, the working frequency is: 2.412GHz, the test site is a two-loop underground pedestrian passageway around the campus, the measuring equipment adopts a portable spectrum analyzer (KEYSIGHT N9918A, measuring maximum frequency 26.5GHz) and a log periodic antenna (HyperLOG 60180, measuring frequency range 680 MHz-18 GHz), the impedance Z of the radio frequency cable is 50 omega, the factor AF of the receiving antenna is 30dB/m, and the cable loss AF of the measuring system is AFRFIs 3 dB.
The invention discloses an electromagnetic radiation prediction method under an underground pedestrian passageway scene, which comprises the following steps of:
(1) establishing a space rectangular coordinate system according to the cuboid characteristics of the underground pedestrian passageway to obtain a coordinate X of the wireless transmitting equipmentt(x1,y1,z1) And coordinates X of the predicted pointR(x2,y2,z2) The coordinate unit is m;
(2) obtaining the coordinate X of the wireless transmitting equipment according to the step (1)t(x1,y1,z1) And coordinates X of the predicted pointR(x2,y2,z2) Calculating the projection length P of the connecting line of the wireless transmitting equipment and the predicted point on the ground1In the unit of m; calculating the projection length P of the wireless transmitting equipment and the predicted point connecting line on the wall with x equal to 02In the unit of m;
(3) according to the projection length P of the connecting line of the wireless transmitting equipment and the predicted point on the ground obtained in the step (2)1And the projection length P of the wireless transmitting equipment and the predicted point connecting line on the x-0 wall2Obtaining the incident angle theta of the electric wave at n times of reflection in the s directionsnIn units of rad;s is 1, 2, 3 and 4, and represents four directions of the underground pedestrian passageway; s-1 indicates that the first reflection of the radio wave is reflected on the top layer, s-2 indicates that the first reflection of the radio wave is reflected on the ground, s-3 indicates that the first reflection of the radio wave is reflected on the wall x-0, and s-4 indicates that the first reflection of the radio wave is reflected on the wall x-a;
(4) according to the projection length P of the connecting line of the wireless transmitting equipment and the predicted point on the ground obtained in the step (2)1And the projection length P of the wireless transmitting equipment and the predicted point connecting line on the x-0 wall2And the incident angle theta of the electric wave obtained in the step (3) during n times of reflection in the s directionsnObtaining the total path length L of the electric wave when n times of reflection is carried out on the s directionsnIn the unit of m;
(5) obtaining the coordinate X of the wireless transmitting equipment according to the step (1)t(x1,y1,z1) And coordinates X of the predicted pointR(x2,y2,z2) Calculating the linear distance L between the wireless transmitting equipment and the prediction point0In the unit of m;
(6) according to the incident angle theta of the electric wave obtained in the step (3) during n times of reflection in the s directionsnObtaining the reflection coefficient R of n reflections in the s directionsn；
(7) Obtaining the total path length L of the electric wave when the electric wave is reflected for n times in the s direction according to the step (4)snAnd (4) obtaining the linear distance L between the wireless transmitting equipment and the prediction point in the step (5)0And the reflection coefficient R of n reflections in the s direction obtained in the step (6)snCalculating the receiving power P of the predicted pointrThe unit is W;
(8) according to the predicted point received power P obtained in the step (7)rAnd receiving the antenna parameters to obtain the electromagnetic radiation intensity E of the predicted point, wherein the unit is V/m.
In the step (1), a space rectangular coordinate system is established to obtain a coordinate X of the wireless transmitting equipmentt(2,1,1.5) and coordinates X of the predicted pointsR(5,5,1)；
In the step (2), the projection length P of the connecting line of the wireless transmitting equipment and the predicted point on the ground1And the wireless transmitting equipment and the prediction point are connected in linex is 0 projection length P on the wall2The calculation is as follows:
Figure GDA0003011256980000061
Figure GDA0003011256980000062
in the step (3), the width a of the pedestrian underpass is 10m, the height b of the pedestrian underpass is 3m, and the z-axis coordinate z of the wireless transmitting device coordinate is11.5; z-axis coordinate z of predicted point coordinate21 is ═ 1; x-axis coordinate x of wireless transmitting device coordinates12; x-axis coordinate x of predicted point coordinate2(ii) 5; combining the projection length P of the connecting line of the wireless transmitting equipment and the predicted point obtained in the step (2) on the ground1And the projection length P of the wireless transmitting equipment and the predicted point connecting line on the x-0 wall2Angle of incidence θ of electric wave at n reflections in s directionsnThe calculation is as follows:
Figure GDA0003011256980000071
in the step (4), the projection length P of the connecting line of the wireless transmitting equipment and the predicted point on the ground, which is obtained in the step (2), is combined1And the projection length P of the wireless transmitting equipment and the predicted point connecting line on the x-0 wall2And the incident angle theta of the electric wave obtained in the step (3) during n times of reflection in the s directionsnTotal path length L of wave at n reflections in s directionsnThe calculation is as follows:
Figure GDA0003011256980000072
in the step (5), the coordinate X of the wireless transmitting equipment obtained in the step (1) is combinedt(2,1,1.5) and coordinates X of the predicted pointsR(5,5,1) obtaining the linear distance L between the wireless transmitting device and the predicted point0The calculation is as follows:
Figure GDA0003011256980000073
in the step (6), the dielectric constant ∈ of the wall is 5, and the incident angle θ of the radio wave at n reflections in the s-direction obtained in the step (3) is combined with the incident angle θsnObtaining the reflection coefficient R of n reflections in the s directionsnThe calculation is as follows:
Figure GDA0003011256980000074
in the step (7), the wireless device transmits power Pt＝2×10-3W, transmitting antenna gain Gt3dBi, the maximum reflection number v is 30, and the unit is times; wavelength λ is 0.125 m; combining the total path length L of the electric wave obtained in the step (4) when the electric wave is reflected for n times in the s directionsnAnd (4) obtaining the linear distance L between the wireless transmitting equipment and the prediction point in the step (5)0And the reflection coefficient R of n reflections in the s direction obtained in the step (6)snTo obtain the predicted point received power PrThe calculation is as follows:
Figure GDA0003011256980000081
in the step (8), the radio frequency cable impedance Z is 50 Ω, the receiving antenna factor AF is 30dB/m, and the cable loss AF of the system is measuredRFCombining the total received power P obtained in step (7) at 3dBrThe predicted point electromagnetic radiation intensity E is calculated as follows:
Figure GDA0003011256980000082
in this embodiment, a spectrum analyzer is used to measure the electromagnetic radiation intensity of a predicted point in a campus-surrounding two-loop underground pedestrian passageway scene, and the measured value is 0.371V/m, which is basically consistent with the predicted value of the method used in the present invention, which shows that the method can be used to predict the electromagnetic radiation intensity of mobile wireless equipment in the underground pedestrian passageway scene, and simultaneously, the validity of the method used in the present invention is verified.

Claims (2)

1. The method for predicting the electromagnetic radiation in the underground pedestrian passageway scene is characterized by comprising the following steps of:
(1) establishing a space rectangular coordinate system according to the cuboid characteristics of the underground pedestrian passageway to obtain a coordinate X of the wireless transmitting equipmentt(x1,y1,z1) And coordinates X of the predicted pointR(x2,y2,z2) The coordinate unit is m;
(2) obtaining the coordinate X of the wireless transmitting equipment according to the step (1)t(x1,y1,z1) And coordinates X of the predicted pointR(x2,y2,z2) Calculating the projection length P of the connecting line of the wireless transmitting equipment and the predicted point on the ground1In the unit of m; calculating the projection length P of the wireless transmitting equipment and the predicted point connecting line on the wall with x equal to 02In the unit of m;
Figure FDA0003011256970000011
Figure FDA0003011256970000012
in the above formula, x1X-axis coordinates that are coordinates of the wireless transmitting device; x is the number of2An x-axis coordinate which is a predicted point coordinate; z is a radical of1Z-axis coordinates that are coordinates of the wireless transmitting device; z is a radical of2Z-axis coordinates which are coordinates of the predicted points; y is1Y-axis coordinates that are coordinates of the wireless transmitting device; y is2Y-axis coordinates which are coordinates of the predicted points;
(3) according to the projection length P of the connecting line of the wireless transmitting equipment and the predicted point on the ground obtained in the step (2)1And the wireless transmitting equipment and the prediction point are connected in linex is 0 projection length P on the wall2Obtaining the incident angle theta of the electric wave at n times of reflection in the s directionsnIn units of rad; s is 1, 2, 3 and 4, and represents four directions of the underground pedestrian passageway; s-1 indicates that the first reflection of the radio wave is reflected on the top layer, s-2 indicates that the first reflection of the radio wave is reflected on the ground, s-3 indicates that the first reflection of the radio wave is reflected on the wall x-0, and s-4 indicates that the first reflection of the radio wave is reflected on the wall x-a; a is the width of the pedestrian underground passage, and the unit is m;
incident angle theta of radio wave at n-times of reflection in s-directionsnThe calculation is as follows:
Figure FDA0003011256970000013
in the above formula, a is the width of the pedestrian underground passage, and the unit is m; b is the height of the pedestrian underground passage, and the unit is m; z is a radical of1Z-axis coordinates that are coordinates of the wireless transmitting device; z is a radical of2Z-axis coordinates which are coordinates of the predicted points; x is the number of1X-axis coordinates that are coordinates of the wireless transmitting device; x is the number of2An x-axis coordinate which is a predicted point coordinate; n is the reflection times of the radio wave from the radio transmitting equipment to the predicted point, and the unit is times;
(4) according to the projection length P of the connecting line of the wireless transmitting equipment and the predicted point on the ground obtained in the step (2)1And the projection length P of the wireless transmitting equipment and the predicted point connecting line on the x-0 wall2And the incident angle theta of the electric wave obtained in the step (3) during n times of reflection in the s directionsnObtaining the total path length L of the electric wave when n times of reflection is carried out on the s directionsnIn the unit of m;
Figure FDA0003011256970000021
in the above formula, sin θsnIs thetasnA sine function of (a);
(5) obtaining the coordinate X of the wireless transmitting equipment according to the step (1)t(x1,y1,z1) And a predicted pointCoordinate X ofR(x2,y2,z2) Calculating the linear distance L between the wireless transmitting equipment and the prediction point0In the unit of m;
Figure FDA0003011256970000022
in the above formula, x1X-axis coordinates that are coordinates of the wireless transmitting device; x is the number of2An x-axis coordinate which is a predicted point coordinate; z is a radical of1Z-axis coordinates that are coordinates of the wireless transmitting device; z is a radical of2Z-axis coordinates which are coordinates of the predicted points; y is1Y-axis coordinates that are coordinates of the wireless transmitting device; y is2Y-axis coordinates which are coordinates of the predicted points;
(6) according to the incident angle theta of the electric wave obtained in the step (3) during n times of reflection in the s directionsnObtaining the reflection coefficient R of n reflections in the s directionsn；
Figure FDA0003011256970000023
In the above formula, sin θsnIs thetasnA sine function of (a); cos θsnIs thetasnThe cosine function of (a); ε is the dielectric constant of the wall;
(7) obtaining the total path length L of the electric wave when the electric wave is reflected for n times in the s direction according to the step (4)snAnd (4) obtaining the linear distance L between the wireless transmitting equipment and the prediction point in the step (5)0And the reflection coefficient R of n reflections in the s direction obtained in the step (6)snCalculating the receiving power P of the predicted pointrThe unit is W;
Figure FDA0003011256970000031
in the above formula, PtIs the wireless device transmit power in units of W; gtThe gain is the transmit antenna gain in dBi; v is the maximum number of reflections in units of times; λ is wavelength in units ofm；
(8) According to the predicted point received power P obtained in the step (7)rReceiving antenna parameters to obtain the electromagnetic radiation intensity E of the predicted point, wherein the unit is V/m;
Figure FDA0003011256970000032
in the above formula, E is the electromagnetic radiation intensity of the predicted point, and the unit is V/m; prFor predicting the point received power, the unit is W; z is the impedance of the radio frequency cable, and the unit is ohm; AF is a receiving antenna factor, and the unit is dB/m; AFRFTo measure the cable loss of the system, the unit is dB.
2. The method according to claim 1, wherein in step (1), a rectangular spatial coordinate system is established to obtain coordinates X of the wireless transmitting devicet(x1,y1,z1) And coordinates X of the predicted pointR(x2,y2,z2) In the unit of m; wherein x1Distance from the wireless transmitting device to the left wall; x is the number of2To predict the distance of the point to the left wall; z is a radical of1The distance from the wireless transmitting equipment to the ground; z is a radical of2Predicting the distance between the point and the ground; y is1Is the distance of the wireless transmitting device to the xOz plane; y is2To predict the distance of the point to the xOz plane.
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Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0777892A1 (en) * 1994-08-29 1997-06-11 Torsana A/S A method of estimation
WO2004112337A1 (en) * 2003-05-31 2004-12-23 Qualcomm Incorporated Signal-to-noise estimation in wireless communication devices with receive diversity
CN101221202A (en) * 2007-12-20 2008-07-16 国网武汉高压研究院 Method for appraising electromagnetic environment level of 1000KV ultrahigh voltage alternating current transmission lines
CN101582725A (en) * 2008-05-15 2009-11-18 中兴通讯股份有限公司 System and method for testing radiation performance of wireless terminal based on data mode
DE202013002682U1 (en) * 2013-03-20 2013-04-26 Cetecom Gmbh Circular polarized broadband antenna and arrangement of the same in a low-reflection space
CN103076503A (en) * 2012-12-27 2013-05-01 广东省辐射防护协会 Environmental electromagnetic radiation three-dimensional prediction method of GSM (Global System for Mobile Communication) mobile communication base station
CN103336182A (en) * 2013-07-05 2013-10-02 中国计量科学研究院 Antenna phase center calibration system based on site insertion loss measurement
CN104105106A (en) * 2014-07-23 2014-10-15 武汉飞脉科技有限责任公司 Wireless communication network intelligent-antenna-covered scene automatic classification and recognition method
CN104267265A (en) * 2014-09-30 2015-01-07 中国科学院新疆天文台 Evaluating system and method based on radio astronomical instrument device electromagnetic radiation
CN105929251A (en) * 2016-04-13 2016-09-07 国网重庆市电力公司电力科学研究院 Shielding analysis-optimization method and system for 3D ground power-frequency electric field of UHVAC power transmission line
KR20170130389A (en) * 2015-03-27 2017-11-28 인텔 코포레이션 Space-time compressed flight time technology for imaging
CN206790589U (en) * 2017-05-04 2017-12-22 青岛智慧城市产业发展有限公司 Video camera for the anti-strong electromagnetic of underground pipe gallery
CN110677865A (en) * 2019-09-25 2020-01-10 北京邮电大学 Method for positioning external interference source of mobile communication network

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0777892A1 (en) * 1994-08-29 1997-06-11 Torsana A/S A method of estimation
WO2004112337A1 (en) * 2003-05-31 2004-12-23 Qualcomm Incorporated Signal-to-noise estimation in wireless communication devices with receive diversity
CN101221202A (en) * 2007-12-20 2008-07-16 国网武汉高压研究院 Method for appraising electromagnetic environment level of 1000KV ultrahigh voltage alternating current transmission lines
CN101582725A (en) * 2008-05-15 2009-11-18 中兴通讯股份有限公司 System and method for testing radiation performance of wireless terminal based on data mode
CN103076503A (en) * 2012-12-27 2013-05-01 广东省辐射防护协会 Environmental electromagnetic radiation three-dimensional prediction method of GSM (Global System for Mobile Communication) mobile communication base station
DE202013002682U1 (en) * 2013-03-20 2013-04-26 Cetecom Gmbh Circular polarized broadband antenna and arrangement of the same in a low-reflection space
CN103336182A (en) * 2013-07-05 2013-10-02 中国计量科学研究院 Antenna phase center calibration system based on site insertion loss measurement
CN104105106A (en) * 2014-07-23 2014-10-15 武汉飞脉科技有限责任公司 Wireless communication network intelligent-antenna-covered scene automatic classification and recognition method
CN104267265A (en) * 2014-09-30 2015-01-07 中国科学院新疆天文台 Evaluating system and method based on radio astronomical instrument device electromagnetic radiation
KR20170130389A (en) * 2015-03-27 2017-11-28 인텔 코포레이션 Space-time compressed flight time technology for imaging
CN105929251A (en) * 2016-04-13 2016-09-07 国网重庆市电力公司电力科学研究院 Shielding analysis-optimization method and system for 3D ground power-frequency electric field of UHVAC power transmission line
CN206790589U (en) * 2017-05-04 2017-12-22 青岛智慧城市产业发展有限公司 Video camera for the anti-strong electromagnetic of underground pipe gallery
CN110677865A (en) * 2019-09-25 2020-01-10 北京邮电大学 Method for positioning external interference source of mobile communication network

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
An Effective Approach for Prediction of Exposure to Base Stations Using Wavelets to Fit the Antenna Pattern;Wanchun Yang 等;《 IEEE Transactions on Antennas and Propagation 》;20181231;全文 *
FDD LTE移动通信基站电磁辐射影响预测;任定高;《铀矿冶》;20180228;第37卷(第1期);全文 *
Measurement and Analysis of Electromagnetic Radiation of 110KV High-Voltage Lines in One Urban Location in Chongqing P.R. China;Qi-zhong Qin 等;《2010 4th International Conference on Bioinformatics and Biomedical Engineering》;20100620;全文 *

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