CN108318748A - A kind of base station electromagnetic radiation intensity similarity estimating method - Google Patents
A kind of base station electromagnetic radiation intensity similarity estimating method Download PDFInfo
- Publication number
- CN108318748A CN108318748A CN201810104434.4A CN201810104434A CN108318748A CN 108318748 A CN108318748 A CN 108318748A CN 201810104434 A CN201810104434 A CN 201810104434A CN 108318748 A CN108318748 A CN 108318748A
- Authority
- CN
- China
- Prior art keywords
- base station
- electromagnetic radiation
- radiation intensity
- comparison
- matrix
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000005670 electromagnetic radiation Effects 0.000 title claims abstract description 107
- 238000000034 method Methods 0.000 title claims abstract description 15
- 239000011159 matrix material Substances 0.000 claims abstract description 41
- 230000005855 radiation Effects 0.000 claims description 8
- 238000005259 measurement Methods 0.000 claims description 7
- 230000005611 electricity Effects 0.000 claims description 6
- 238000001228 spectrum Methods 0.000 claims description 5
- 238000011156 evaluation Methods 0.000 abstract 1
- 238000010295 mobile communication Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
- G01R29/08—Measuring electromagnetic field characteristics
- G01R29/0807—Measuring electromagnetic field characteristics characterised by the application
- G01R29/0814—Field 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
- G01R29/0857—Dosimetry, i.e. measuring the time integral of radiation intensity; Level warning devices for personal safety use
Landscapes
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- General Physics & Mathematics (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a kind of base station electromagnetic radiation intensity similarity estimating methods, pass through the interval probability of the electromagnetic radiation intensity of statistical-reference base station and comparison base station, electromagnetic radiation intensity similarity between comparison base station and reference base station is calculated by interval probability matrix of differences, the similar base station of electromagnetic radiation intensity in one panel region is sorted out according to base station electromagnetic radiation intensity similarity, the efficiency of base station electromagnetic radiation intensity evaluation work is improved, convenient for base station according to the Classification Management of electromagnetic radiation intensity.The present invention is calculated the electromagnetic radiation intensity similarity between comparison base station and reference base station by the interval probability of base station electromagnetic radiation intensity, it is proposed that a kind of effective base station electromagnetic radiation intensity similarity estimating method.
Description
Technical field
The present invention relates to a kind of base station electromagnetic radiation intensity similarity estimating methods.
Background technology
Due to mobile communication technology development and progress, the quantity of mobile communication base station increases rapidly, with upcoming
The quantity of 5th third-generation mobile communication technology (5G), 5G communication base stations is up to more.Mobile communication base station is as most main in life
The electromagnetic radiation source wanted, electromagnetic radiation safety problem cannot be ignored.The appraisal procedure about base station electromagnetic radiation can only at present
Base station is measured one by one, however mobile communication base station quantity is various and type is complicated, assesses all bases in a panel region
The electromagnetic radiation intensity stood is a difficult task, and shortage is a kind of to be commented what the similar base station of electromagnetic radiation intensity was sorted out
Estimate method, in this way by accurately being measured a base station in the similar base station of electromagnetic radiation intensity, just can assess other
Similar base station electromagnetic radiation intensity.In published patented technology or document, this can't be solved the problems, such as at present.
Invention content
In order to solve the above technical problem, the present invention provides a kind of base station electromagnetic radiation intensity similarity estimating methods.
The present invention solves above-mentioned technical problem, and the technical scheme comprises the following steps：
1), the electromagnetic radiation intensity of reference base station and comparison base station is measured using spectrum analyzer, by base station electricity
Magnetic radiation intensity measurements are evenly dividing by size as n section, the probability in each electromagnetic radiation intensity section are counted, with reference to base
The interval probability sequence of electromagnetic radiation intensity of standing is denoted asThe area of the electromagnetic radiation intensity of m-th of comparison base station
Between probability sequence be denoted asThe section of the interval probability sequence composition of m comparison base station electromagnetic radiation intensity
Probability matrix is as follows：
2), by step 1) obtain comparison base station electromagnetic radiation intensity interval probability matrix, calculate comparison base station with
Matrix of differences (the Δ of reference base station electromagnetic radiation intensity interval probabilitymi)m×i；
3), the matrix of differences (Δ of the base station electromagnetic radiation intensity obtained by step 2)mi)m×i, calculate comparison base station and
Electromagnetic radiation intensity similarity between reference base station, electromagnetic radiation intensity similarity γ (Bm) calculate it is as follows：
In formula (2), γ (Bm) it is m-th of comparison base station BmElectromagnetic radiation intensity similarity between reference base station, min
(Δmi)m×iFor matrix of differences (Δmi)m×iIn least member, max (Δsmi)m×iFor matrix of differences (Δmi)m×iIn greastest element
Element, ΔmiFor matrix of differences (Δmi)m×iIn m row i column elements, i.e., m-th comparison base station BmI-th of electricity between reference base station
Difference after the initialization of magnetic radiation intensity interval probability；
4), the electromagnetic radiation intensity similarity γ (B between the obtained comparison base station of step 3) and reference base stationm) by big
It is small to be ranked sequentially, according to γ (Bm) judge to compare the electromagnetic radiation intensity similarity between base station and reference base station, if γ (Bm)≥
0.7, then judge that the comparison base station is similar to the electromagnetic radiation intensity of reference base station, it is otherwise dissimilar.
A kind of above-mentioned base station electromagnetic radiation intensity similarity estimating method, in the step 2), calculate comparison base station with
Matrix of differences (the Δ of reference base station electromagnetic radiation intensity interval probabilitymi)m×i, first to reference base station electromagnetic radiation intensity section
Probability sequence and comparison base station electromagnetic radiation intensity interval probability matrix are initialized, the area of reference base station electromagnetic radiation intensity
Between probability sequence be initialized asIt is right for the average value of reference base station electromagnetic radiation intensity interval probability
It is as follows than base station electromagnetic radiation intensity interval probability matrix initialisation：
In formula (3),For the average value of the interval probability of the electromagnetic radiation intensity of m-th of comparison base station.
By after initializing reference base station electromagnetic radiation intensity interval probability sequence and comparison base station electromagnetic radiation intensity area
Between probability matrix calculate electromagnetic radiation intensity interval probability matrix of differences (Δmi)m×i, matrix of differences (Δmi)m×iAs follows：
The beneficial effects of the present invention are：This method passes through statistical-reference base station and the electromagnetic radiation intensity of comparison base station
Interval probability calculates the electromagnetic radiation intensity similarity γ (B between comparison base station and reference base stationm), it is proposed that Yi Zhongyou
The method of effect assessment base station electromagnetic radiation intensity similarity, this method carry out classification pipe convenient for base station according to electromagnetic radiation similarity
Reason and measurement, have great reference value to base station construction and environmental protection.
Specific implementation mode
With reference to embodiment, the present invention is further illustrated.
Objective for implementation of the present invention be 1 reference base station and 3 comparison base stations, downlink transfer frequency range be 1840MHz~
1860MHz, measuring apparatus is using portable frequency spectrum analyzer (KEYSIGHT N9918A, measure maximum frequency 26.5GHz) and right
Antenna one number time (HyperLOG 60180, measurement frequency range 680MHz~18GHz), the reception antenna in 1.8GHz frequencies
Antenna factor AF is 30dB/m, cable waste 3dB.
A kind of base station electromagnetic radiation intensity similarity estimating method of the present invention, includes the following steps：
1), the electromagnetic radiation intensity of reference base station and comparison base station is measured using spectrum analyzer, by base station electricity
Magnetic radiation intensity measurements are evenly dividing by size as n section, the probability in each electromagnetic radiation intensity section are counted, with reference to base
The interval probability sequence of electromagnetic radiation intensity of standing is denoted asThe area of the electromagnetic radiation intensity of m-th of comparison base station
Between probability sequence be denoted asThe matrix of the interval probability sequence composition of m comparison base station electromagnetic radiation intensity
As shown in formula (1)；
2), by step 1) obtain comparison base station electromagnetic radiation intensity interval probability matrix, calculate comparison base station with
Matrix of differences (the Δ of reference base station electromagnetic radiation intensity interval probabilitymi)m×i；
3), the matrix of differences (Δ of the base station electromagnetic radiation intensity obtained by step 2)mi)m×i, calculate comparison base station and
Electromagnetic radiation intensity similarity between reference base station calculates electromagnetic radiation intensity similarity γ (B according to formula (2)m)；
4), the electromagnetic radiation intensity similarity γ (B between the obtained comparison base station of step 3) and reference base stationm) by big
It is small to be ranked sequentially, according to γ (Bm) judge to compare the electromagnetic radiation intensity similarity between base station and reference base station, if γ (Bm)≥
0.7, then judge that the comparison base station is similar to the electromagnetic radiation intensity of reference base station, it is otherwise dissimilar.
Above-mentioned steps 1) in, the electromagnetic radiation intensity of reference base station and comparison base station is measured with spectrum analyzer, it will
Base station electromagnetic radiation intensity measured value is evenly dividing by size as 5 sections, is followed successively by [0,0.02], [0.02,0.04], [0.04,
0.06], [0.06,0.08], [0.08,0.1], unit are μ w/cm2.The present embodiment measures 1 reference base station and 3 comparison bases
It stands, by statistics, each electromagnetic radiation intensity interval probability sequence of reference base station is Compare the section of the electromagnetic radiation intensity of base station 1, comparison base station 2 and comparison base station 3
The interval probability matrix of probability sequence composition is as follows：
Above-mentioned steps 2) in, pass through the interval probability matrix for the comparison base station electromagnetic radiation intensity that step 1) obtains, calculating pair
Than the matrix of differences (Δ of base station and reference base station electromagnetic radiation intensity interval probabilitymi)3×5, first to reference base station electromagnetic radiation
Intensity interval probability sequence and comparison base station electromagnetic radiation intensity interval probability matrix are initialized.Reference base station electromagnetic radiation
The interval probability sequence initialization of intensity measurements is
According to formula (3), comparison base station 1, comparison base station 2 and compare after the electromagnetic radiation intensity interval probability matrix initialisation of base station 3 such as
Shown in lower：
Comparison base station 1, comparison base station 2 are calculated according to formula (4) and compare electromagnetic radiation intensity between base station 3 and reference base station
Matrix of differences (the Δ of measured valuemi)3×5, as follows：
Above-mentioned steps 3) in, the matrix of differences (Δ that is obtained by step 2)mi)3×5, determine matrix of differences (Δmi)3×5In most
Small element min (Δsmi)3×5Value be 0.020, matrix of differences (Δmi)3×5In greatest member max (Δsmi)3×5Value be
1.585.According to formula (2), in conjunction with matrix of differences (Δmi)3×5Calculate comparison base station 1, comparison base station 2 and comparison base station
Electromagnetic radiation intensity similarity γ (B between 3 and reference base stationm), compare the electromagnetic radiation intensity similarity γ (B of base station 11)
It calculates as follows：
It can similarly obtain, compare the electromagnetic radiation intensity similarity γ (B of base station 22) it is 0.925, compare the electromagnetism spoke of base station 3
Penetrate intensity similarity γ (B3) it is 0.616.
Above-mentioned steps 4) in, the γ (B that are obtained according to step 3)m) judge to compare the electromagnetism spoke between base station and reference base station
Penetrate intensity similarity.It compares base station 1, comparison base station 2 and compares the electromagnetic radiation intensity similarity between base station 3 and reference base station
Magnitude relationship is：γ(B2)>γ(B1)>γ(B3), electromagnetic radiation intensity similarity maximum between base station 2 and reference base station is compared,
Meanwhile γ (B1)<0.7, γ (B2)>0.7, γ (B3)<0.7, it follows that the electricity between comparison base station 2 and reference base station
Magnetic radiation intensity is similar, compares base station 1 and compares that electromagnetic radiation intensity between base station 3 and reference base station is similar and reference base station
Between electromagnetic radiation intensity it is dissimilar.
The invention content of this patent can effectively assess the electromagnetic radiation intensity similarity between base station, consequently facilitating base station
The measurement and management of electromagnetic radiation.
Claims (2)
1. a kind of base station electromagnetic radiation intensity similarity estimating method, which is characterized in that include the following steps：
1), the electromagnetic radiation intensity of reference base station and comparison base station is measured using spectrum analyzer, by base station electromagnetism spoke
It penetrates intensity measurements to be evenly dividing by size as n section, counts the probability in each electromagnetic radiation intensity section, reference base station electricity
The interval probability sequence of magnetic radiation intensity is denoted asThe section of the electromagnetic radiation intensity of m-th of comparison base station is general
Rate sequence is denoted asThe interval probability of the interval probability sequence composition of m comparison base station electromagnetic radiation intensity
Matrix is as follows：
2), the interval probability matrix of the comparison base station electromagnetic radiation intensity obtained by step 1), calculates comparison base station and reference
Matrix of differences (the Δ of base station electromagnetic radiation intensity interval probabilitymi)m×i；
3), the matrix of differences (Δ of the base station electromagnetic radiation intensity obtained by step 2)mi)m×i, calculate comparison base station and refer to base
Electromagnetic radiation intensity similarity between standing, electromagnetic radiation intensity similarity γ (Bm) calculate it is as follows：
In formula (2), γ (Bm) it is m-th of comparison base station BmElectromagnetic radiation intensity similarity between reference base station, min
(Δmi)m×iFor matrix of differences (Δmi)m×iIn least member, max (Δsmi)m×iFor matrix of differences (Δmi)m×iIn greastest element
Element, ΔmiFor matrix of differences (Δmi)m×iIn m row i column elements, i.e., m-th comparison base station BmI-th of electricity between reference base station
Difference after the initialization of magnetic radiation intensity interval probability；
4), the electromagnetic radiation intensity similarity γ (B between the obtained comparison base station of step 3) and reference base stationm) suitable by size
Sequence arranges, according to γ (Bm) judge to compare the electromagnetic radiation intensity similarity between base station and reference base station, if γ (Bm) >=0.7,
Then judge that the comparison base station is similar to the electromagnetic radiation intensity of reference base station, it is otherwise dissimilar.
2. a kind of base station electromagnetic radiation intensity similarity estimating method as described in claim 1, in the step 2), feature
It is, calculates the matrix of differences (Δ of comparison base station and reference base station electromagnetic radiation intensity interval probabilitymi)m×i, first to reference
Base station electromagnetic radiation intensity interval probability sequence and comparison base station electromagnetic radiation intensity interval probability matrix are initialized, and are referred to
The interval probability sequence initialization of base station electromagnetic radiation intensity is For reference base station electromagnetic radiation intensity
The average value of interval probability, comparison base station electromagnetic radiation intensity interval probability matrix initialisation are as follows：
In formula (3),For the average value of the interval probability of the electromagnetic radiation intensity of m-th of comparison base station.
By after initializing reference base station electromagnetic radiation intensity interval probability sequence and comparison base station electromagnetic radiation intensity section it is general
Rate matrix calculates the matrix of differences (Δ of electromagnetic radiation intensity interval probabilitymi)m×i, matrix of differences (Δmi)m×iAs follows：
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810104434.4A CN108318748B (en) | 2018-02-02 | 2018-02-02 | Method for evaluating similarity of electromagnetic radiation intensity of base station |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810104434.4A CN108318748B (en) | 2018-02-02 | 2018-02-02 | Method for evaluating similarity of electromagnetic radiation intensity of base station |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108318748A true CN108318748A (en) | 2018-07-24 |
| CN108318748B CN108318748B (en) | 2020-06-12 |
Family
ID=62891497
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810104434.4A Expired - Fee Related CN108318748B (en) | 2018-02-02 | 2018-02-02 | Method for evaluating similarity of electromagnetic radiation intensity of base station |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108318748B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109474946A (en) * | 2018-12-11 | 2019-03-15 | 湘潭大学 | A kind of rural areas base station electromagnetic radiation prediction technique |
| CN111737847A (en) * | 2020-05-07 | 2020-10-02 | 中国工程物理研究院应用电子学研究所 | Strong electromagnetic pulse environment construction equivalence quantitative grading evaluation method |
| CN115243271A (en) * | 2022-07-14 | 2022-10-25 | 中国联合网络通信集团有限公司 | Radiation evaluation method, device and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040152470A1 (en) * | 2003-02-04 | 2004-08-05 | Spain David Stevenson | Location estimation of wireless terminals though pattern matching of signal-strength differentials |
| CN105653502A (en) * | 2016-03-17 | 2016-06-08 | 湘潭大学 | Analysis method of electromagnetic radiation relevance of communication base station based on genetic algorithm |
| CN106980648A (en) * | 2017-02-27 | 2017-07-25 | 南京邮电大学 | It is a kind of that the personalized recommendation method for combining similarity is decomposed based on probability matrix |
| CN107291894A (en) * | 2017-06-21 | 2017-10-24 | 武汉理工大学 | A kind of probability matrix decomposition model for merging similitude and common scoring item quantity |
| CN107316044A (en) * | 2016-04-27 | 2017-11-03 | 中国电信股份有限公司 | Similar users recognition methods and device |
| CN107590108A (en) * | 2017-08-31 | 2018-01-16 | 西安电子科技大学 | A kind of electromagnetic environment similarity estimating method based on field strength distribution |
-
2018
- 2018-02-02 CN CN201810104434.4A patent/CN108318748B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040152470A1 (en) * | 2003-02-04 | 2004-08-05 | Spain David Stevenson | Location estimation of wireless terminals though pattern matching of signal-strength differentials |
| CN105653502A (en) * | 2016-03-17 | 2016-06-08 | 湘潭大学 | Analysis method of electromagnetic radiation relevance of communication base station based on genetic algorithm |
| CN107316044A (en) * | 2016-04-27 | 2017-11-03 | 中国电信股份有限公司 | Similar users recognition methods and device |
| CN106980648A (en) * | 2017-02-27 | 2017-07-25 | 南京邮电大学 | It is a kind of that the personalized recommendation method for combining similarity is decomposed based on probability matrix |
| CN107291894A (en) * | 2017-06-21 | 2017-10-24 | 武汉理工大学 | A kind of probability matrix decomposition model for merging similitude and common scoring item quantity |
| CN107590108A (en) * | 2017-08-31 | 2018-01-16 | 西安电子科技大学 | A kind of electromagnetic environment similarity estimating method based on field strength distribution |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109474946A (en) * | 2018-12-11 | 2019-03-15 | 湘潭大学 | A kind of rural areas base station electromagnetic radiation prediction technique |
| CN109474946B (en) * | 2018-12-11 | 2022-02-11 | 湘潭大学 | Method for predicting electromagnetic radiation of base station in rural area |
| CN111737847A (en) * | 2020-05-07 | 2020-10-02 | 中国工程物理研究院应用电子学研究所 | Strong electromagnetic pulse environment construction equivalence quantitative grading evaluation method |
| CN115243271A (en) * | 2022-07-14 | 2022-10-25 | 中国联合网络通信集团有限公司 | Radiation evaluation method, device and storage medium |
| CN115243271B (en) * | 2022-07-14 | 2023-09-05 | 中国联合网络通信集团有限公司 | Radiation evaluation method, device and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108318748B (en) | 2020-06-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108318748A (en) | A kind of base station electromagnetic radiation intensity similarity estimating method | |
| CN106879016B (en) | A kind of base station electromagnetic radiation prediction technique based on user distribution | |
| CN108254628B (en) | Base station electromagnetic radiation intensity evaluation method | |
| CN106776480A (en) | A kind of elimination method of radio interference in-site measurement exceptional value | |
| WO2017202144A1 (en) | Method and apparatus for distinguishing indoor and outdoor users, and storage medium | |
| CN109459640B (en) | Scenic spot area base station electromagnetic radiation prediction method | |
| CN106507472A (en) | A kind of localization method in wireless communication system | |
| CN105915299B (en) | Spectrum prediction method based on time-frequency two-dimensional LMBP neural networks in ISM band | |
| CN109474946B (en) | Method for predicting electromagnetic radiation of base station in rural area | |
| CN108362951A (en) | A kind of base station electromagnetic radiation Interval evaluation method | |
| CN107071814A (en) | A kind of accurate Forecasting Methodology of GSM base stations electromagnetic radiation based on telephone traffic | |
| CN104954089B (en) | A kind of frequency spectrum sensing method being compared based on multiple antennas instantaneous power | |
| Mardeni et al. | Path loss model optimization for urban outdoor coverage using Code Division Multiple Access (CDMA) system at 822MHZ | |
| CN108235364A (en) | A kind of WLAN based on user is averaged electromagnetic radiation Forecasting Methodology | |
| CN111615138A (en) | Strong, medium and weak field region dividing method for mobile base station co-located high-voltage power transmission iron tower | |
| CN108183755B (en) | FDD-LTE base station center frequency electromagnetic radiation prediction method | |
| CN109639375B (en) | Base station electromagnetic radiation prediction method based on regional user distribution | |
| CN101404546B (en) | Frequency spectrum occupancy rate measuring method based on signal moment characteristics | |
| Fernández et al. | Analysis of human exposure due to WiFi signals based on a novel measurement methodology | |
| Atanasov et al. | Optimization of Path Loss Models Based on Signal Level Measurements in 4G LTE Network in Sofia. | |
| CN101917723B (en) | Method and system for acquiring combined interference matrix of traffic channels | |
| CN108173609B (en) | Method for predicting electromagnetic radiation of WLAN video service | |
| CN111030761A (en) | Electromagnetic radiation prediction method for mountain base station | |
| Gontier et al. | Semi-empirical model of global exposure using stochastic geometry | |
| Darbari et al. | Channel estimation for short range wireless sensor network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20200612 |