CN109996180A - Method, apparatus, equipment and the medium that base station azimuth is verified - Google Patents
Method, apparatus, equipment and the medium that base station azimuth is verified Download PDFInfo
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- CN109996180A CN109996180A CN201711494823.4A CN201711494823A CN109996180A CN 109996180 A CN109996180 A CN 109996180A CN 201711494823 A CN201711494823 A CN 201711494823A CN 109996180 A CN109996180 A CN 109996180A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C1/00—Measuring angles
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
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Abstract
The invention discloses method, apparatus, equipment and media that a kind of base station azimuth is verified.This method includes obtaining measurement report MR data, and determine each sampled point of base station to be measured；Obtain the location information of each sampled point, and according to the map of the location information of sampled point and rasterizing determine each sampled point locating for grid；Calculate the distance between base station to be measured and each sampled point；Grid locating for each sampled point is divided into multiple grid layers, and determines the number of plies of grid layer；Signal strength based on the sampled point that grid each in grid layer includes determines the most strong grid of grid layer；The location information of most strong grid central point is obtained, and according to the location information of most strong grid central point and the location information of base station to be measured, determines the simulated-azimuth angle of base station to be measured.Method, apparatus, equipment and the medium that the base station azimuth provided according to embodiments of the present invention is verified improve the efficiency verified abnormal base station.
Description
Technical field
The present invention relates to method, apparatus, equipment and Jie that wireless technical field more particularly to a kind of base station azimuth are verified
Matter.
Background technique
In the coverage optimization of network, the azimuth of base station is a very important parameter, and the azimuth of base station determines
The main coverage direction of cell, but the azimuth of base station may be deteriorated due to various reasons.Existing exception work ginseng
The implementation of verification mainly from logicality regular (same base is with angle between frequency arbitrary cells less than 60 degree etc.) and utilizes road
Two aspects of measured data analysis theories azimuth and angle of declination are carried out.
But logic rules pattern verification can only be confined to the logicality problem of existing net work ginseng, and can not verify and not deposit largely
In the base station of logicality work ginseng problem；Drive test sampled point is generally distributed in the grid of city, on ATU road, and what drive test obtained is
The drive test behavior of one terminal user summarizes, and the selection of sampled point does not have popularity and objectivity originally, and needs people
Work uploads log test chart, and the accuracy rate for verifying result naturally is not high.There are not smart enough, no for existing exception work ginseng pattern verification
It is enough precisely and the limitation of inefficiency, and the development for verifying work often bring tower work, vehicle and instrument purchase and
The a series of operation costs such as loss.
Summary of the invention
Method, apparatus, equipment and the medium that a kind of base station azimuth of the embodiment of the present invention is verified, improve to abnormal base station
The efficiency of verification.
The one side provided according to embodiments of the present invention provides a kind of base station azimuth check method, this method comprises:
Measurement report MR data are obtained, and each of base station to be measured is determined according to the identification information of MR data and base station to be measured
Sampled point；
MR data according to fingerprint base and each sampled point of base station to be measured obtain the location information of each sampled point, and root
Grid locating for each sampled point is determined according to the location information of sampled point and the map of rasterizing；
According to the location information of the location information of each sampled point and base station to be measured, base station to be measured and each sampled point are calculated
The distance between；
It, will be each according to pre-determined distance, the location information of sampled point and the distance between base station to be measured and each sampled point
Grid locating for sampled point is divided into multiple grid layers, and determines the number of plies of grid layer；
Signal strength based on the sampled point that grid each in grid layer includes determines the most strong grid of grid layer；
The location information of most strong grid central point is obtained, and location information and base station to be measured according to most strong grid central point
Location information, determine the simulated-azimuth angle of base station to be measured.
In one embodiment, base station azimuth check method further include:
According to the reference azimuth at the simulated-azimuth angle of base station to be measured and base station to be measured, it is different to judge whether base station to be measured occurs
Often.
In one embodiment, the location information of each sampled point is the longitude and latitude of each sampled point, base station to be measured
Location information be base station to be measured longitude and latitude.
In one embodiment, according to pre-determined distance, the location information of sampled point and base station to be measured and each sampled point it
Between distance, grid locating for each sampled point is divided into multiple grid layers, comprising:
The distance between base station to be measured and each sampled point are obtained into the first numerical value divided by pre-determined distance；
First numerical value is calculated, to determine the number of plies of grid layer.
In one embodiment, the wireless signal strength for the sampled point for including based on grid each in grid layer, determines grid
The most strong grid of compartment, comprising:
Obtain the signal strength indication of each grid in grid layer, the signal strength indication of grid is that include all adopt in grid
The average value of the signal strength of sampling point；
Using the maximum grid of signal strength indication in grid layer as the most strong grid of grid layer.
In one embodiment, it according to the location information of most strong grid central point and the location information of base station to be measured, determines
The azimuth of base station to be measured, comprising:
The location information of location information and base station to be measured to the central point of most strong grid carries out projective transformation, obtains most strong
The corresponding projective transformation value of grid central point；
The side of base station to be measured is determined according to the corresponding projective transformation value of the most strong grid central point of each of multiple grid layers
Parallactic angle.
In one embodiment, projective transformation value includes projective transformation value of the most strong grid central point in the first reference axis
Projective transformation value of the most strong grid central point in the second reference axis；Wherein,
Projective transformation value X in first reference axis are as follows:
X=sin (Bj-Aj)*cos(Bw)
Projective transformation value Y in first reference axis are as follows:
Y=cos (Aw)*sin(Bw)-sin(Aw)*cos(Bw)*cos(Bj-Aj)
Wherein, AwFor the latitude of base station to be measured, the AjFor the longitude of base station to be measured, BjFor the warp of most strong grid central point
Degree, BwFor the latitude of most strong grid central point.
The another aspect provided according to embodiments of the present invention, provides a kind of device that base station azimuth is verified, and feature exists
In device includes:
Sampled point determining module is believed for obtaining measurement report MR data, and according to MR data and the mark of base station to be measured
Breath determines each sampled point of base station to be measured；
Grid determining module, for obtaining each sampling according to the MR data of fingerprint base and each sampled point of base station to be measured
Point location information, and according to the map of the location information of sampled point and rasterizing determine each sampled point locating for grid；
Distance calculation module, for according to the location information of each sampled point and the location information of base station to be measured, calculate to
Survey the distance between base station and each sampled point；
Grid layer determining module, for according to pre-determined distance, sampled point location information and base station to be measured and each sampling
Grid locating for each sampled point is divided into multiple grid layers, and determines the number of plies of grid layer by the distance between point；
Most strong grid determining module, the signal strength of the sampled point for including based on grid each in grid layer determine
The most strong grid of grid layer；
Azimuth obtains module, for obtaining the location information of most strong grid central point, and according to most strong grid central point
Location information and base station to be measured location information, determine the simulated-azimuth angle of base station to be measured.
It is providing according to embodiments of the present invention in another aspect, providing the equipment that a kind of base station azimuth is verified, feature exists
In equipment includes: processor and the memory for being stored with computer program instructions；
Processor realizes the method that base station azimuth provided in an embodiment of the present invention is verified when executing computer program instructions.
It is providing according to embodiments of the present invention in another aspect, providing a kind of computer storage medium, which is characterized in that calculate
It is stored with computer program instructions on machine storage medium, the embodiment of the present invention is realized when computer program instructions are executed by processor
The method that the base station azimuth of offer is verified.
Method, apparatus, equipment and the computer storage medium that base station azimuth according to embodiments of the present invention is verified, with
The mode of big data carries out grid layering by obtaining magnanimity sampled point, and to sampled point, solves intelligent, precision and efficiency
The problem of property.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will make below to required in the embodiment of the present invention
Attached drawing is briefly described, for those of ordinary skill in the art, without creative efforts, also
Other drawings may be obtained according to these drawings without any creative labor.
Fig. 1 shows the flow diagram for the method that the base station azimuth that an embodiment provides according to the present invention is verified；
Fig. 2 shows the schematic diagrames that grid layering is carried out to sampled point that one embodiment of the invention provides；
Fig. 3 shows the structural schematic diagram for the device that the base station azimuth that an embodiment provides according to the present invention is verified；
Fig. 4 shows the hardware structural diagram for the equipment verified according to the base station azimuth of one embodiment of invention.
Specific embodiment
The feature and exemplary embodiment of various aspects of the invention is described more fully below, in order to make mesh of the invention
, technical solution and advantage be more clearly understood, with reference to the accompanying drawings and embodiments, the present invention is further retouched in detail
It states.It should be understood that specific embodiment described herein is only configured to explain the present invention, it is not configured as limiting the present invention.
To those skilled in the art, the present invention can be real in the case where not needing some details in these details
It applies.Below the description of embodiment is used for the purpose of better understanding the present invention to provide by showing example of the invention.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence " including ... ", it is not excluded that including
There is also other identical elements in the process, method, article or equipment of the element.
It is described in detail first below in conjunction with the method that attached drawing verifies base station azimuth provided in an embodiment of the present invention.
Fig. 1 shows the flow diagram for the method that the base station azimuth provided according to embodiments of the present invention is verified.Such as Fig. 1 institute
Show, the monitoring method 100 that base station azimuth in the present embodiment is verified the following steps are included:
S110 obtains measurement report MR data, and determines base station to be measured according to the identification information of MR data and base station to be measured
Each sampled point.
In an embodiment of the present invention, measurement report Measurement Report, MR) refer to that mobile terminal passes through control
Channel, the downlink signal of cell is strong where periodically being reported in a manner of MR to base station at a time interval in Traffic Channel
The information such as degree, quality.Wherein, MR data include the field of the identification information of each base station and each cell involved by it
Strong data, delay data and direction angular data.MR data are acquired by the soft mode of adopting, and specifically, mobile terminal passes through Uu/
X2 interface uploads MR data.
In an embodiment of the present invention, it is locating to represent user equipment (User Equipmen, UE) for the sampled point of base station to be measured
Position；Cell locating for sampled point indicates the serving cell of UE corresponding with the sampled point.
MR big data is adopted by the way that acquisition is soft, and according to each sampled point pair in the identification information of base station to be measured and MR data
The identification information answered determines each sampled point for including in the base station to be measured.
S120, the MR data according to fingerprint base and each sampled point of base station to be measured obtain the position letter of each sampled point
Breath, and according to the map of the location information of sampled point and rasterizing determine each sampled point locating for grid.
In an embodiment of the present invention, there is dependence to environment due to the propagation of signal, in different location its channel
Multipath characteristics are also all different, and show very strong particularity.Therefore the propagation model that can use signal calculates each base
The signal strength for corresponding each grid reference point of standing digitizes grid informations that these include each cell field strength, formed feature to
The sample data set of magnitude, these feature vector values just constitutes fingerprint base.What is stored in fingerprint database is discrete signal
Intensity and position coordinates.
Then, the immediate position of feature with each sampled point of base station to be measured is searched in the fingerprint base having built up
It sets a little, so that it is determined that the location information of each sampled point of base station to be measured.Specifically, the location information of each sampled point can be
The location information of the longitude and latitude of each sampled point, base station to be measured can also be indicated with longitude and latitude.
It in an embodiment of the present invention, is multiple grids by map partitioning first, in accordance with pre-set partition strategy, it is excellent
Selection of land, the shape that the size of each grid may be the same or different each grid can be rectangle, diamond shape, sector etc..
As a specific example, the square that each grid is 20 meters * 20 meters.
In an embodiment of the present invention, in the multiple grids marked off, each grid represents a geographic area.Pass through
The location information of each sampled point for the base station to be measured having determined can determine grid locating for each sampled point.
S130 calculates base station to be measured and each according to the location information of the location information of each sampled point and base station to be measured
The distance between sampled point.
In an embodiment of the present invention, the location information of sampled point and the location information of base station to be measured utilize longitude and latitude
Degree is indicated.It can be calculated often by the longitude and latitude of longitude and latitude and base station to be measured using each sampled point
A sampled point is at a distance from base station to be measured.
As a specific example, the longitude and latitude of base station to be measured are respectively A1And B1, a sampled point of base station to be measured
Longitude and latitude are respectively A2And B2, then the expression formula of the sampled point and distance d' in base station to be measured are as follows:
Similarly, each sampled point can be calculated according to above-mentioned expression formula at a distance from base station to be measured.
S140 will according to pre-determined distance, the location information of sampled point and the distance between base station to be measured and each sampled point
Grid locating for each sampled point is divided into multiple grid layers, and determines the number of plies of grid layer.
In an embodiment of the present invention, step S140 the following steps are included:
The distance between base station to be measured and each sampled point are obtained the first numerical value divided by pre-determined distance by S1401.
In an embodiment of the present invention, using pre-determined distance and each sampled point of base station to be measured and base station to be measured away from
Grid layering is carried out from all sampled points to the base station to be measured.
As an example, d is pre-determined distance, and D is each sampled point of base station to be measured at a distance from base station to be measured.It will
The distance between base station to be measured and each sampled point D obtain the first numerical value L '=D/d divided by pre-determined distance d.
S1402 calculates the first numerical value, to determine the number of plies of grid layer.
In an embodiment of the present invention, the calculation expression of grid number of plies L is as follows:
L=CEILING.MATH (L') (2)
Wherein, number is rounded up to as immediate integer by CEILING.MATH () expression.To avoid the first grid layer
Calculated result is 0, Gu value be would be rounded up into immediate integer.
In an embodiment of the present invention, it is distributed according to city website, the distance between mean base station is 350 meters, preferably
The number of plies for carrying out each grid layer of layered method to grid using 40 meters of distances as pre-determined distance, it is possible thereby to obtain base station to be measured
Grid layer locating for each sampled point.
If Fig. 2 is the hierarchical diagram of the sampled point of base station to be measured, the A point in figure is base station to be measured, in figure between dotted line
Region be the cell overlay area, direction shown in arrow be MPS process direction.Each rectangle frame in figure indicates one
Grid, the point being distributed in around base station to be measured are the sampled point of the base station.Grid is carried out to each sampled point by the above method
Layering, specific layering result are as shown in Figure 2.
In an embodiment of the present invention, pre-determined distance is not particularly limited, such as pre-determined distance is grid side length size
Integral multiple, can be depending on concrete application scene.
S150, the signal strength based on the sampled point that grid each in grid layer includes determine the most strong grid of grid layer.
In an embodiment of the present invention, step S150 the following steps are included:
S1501 obtains the signal strength indication of each grid in grid layer, and the signal strength indication of grid, which is in grid, includes
The average value of the signal strength of all sampled points.
In an embodiment of the present invention, reference signal receiving intensity ((Reference Signal Receiving is utilized
Power, RSRP) reflection base station to be measured signal strength.Since each grid layer includes multiple grids, and wrapped in each grid
Sampled point containing multiple base stations to be measured.It is average by be added the RSRP of sampled point each in each grid, it obtains each
The average value of the RSRP of all sampled points in grid.Wherein, the average value conduct of the RSRP of all sampled points should in each grid
The signal strength indication of grid.
S1502, using the maximum grid of signal strength indication in grid layer as the most strong grid of grid layer.
In an embodiment of the present invention, by comparing the signal strength indication of each grid in a grid layer, by signal strength
It is worth most strong grid of the maximum grid as the grid layer.
S160, obtains the location information of most strong grid central point, and according to the location information of most strong grid central point and to
The location information for surveying base station, determines the simulated-azimuth angle of base station to be measured.
In an embodiment of the present invention, step S160 the following steps are included:
The location information of S1601, location information and base station to be measured to the central point of most strong grid carry out projective transformation, obtain
Take the corresponding projective transformation value of most strong grid central point.
In an embodiment of the present invention, the location information at most strong grid center in each grid layer is obtained first, and will be every
The location information at most strong grid center and the base station position information of base station to be measured of a grid layer are converted to plane coordinates to default
It is projected in the first reference axis and the second reference axis in coordinate system, wherein the first reference axis and the second reference axis are mutually perpendicular to.
As an example, the location information at most strong grid center and the location information of base station to be measured are all made of longitude and latitude
Degree is indicated.Wherein, the projective transformation value of most strong grid central point includes projection of the most strong grid central point in X-coordinate axle
The projective transformation value of transformed value and most strong grid central point in the second reference axis；Wherein,
Projective transformation value x in X-coordinate axle are as follows:
X=sin (Bj-Aj)*cos(Bw) (3)
Projective transformation value y in Y-coordinate axle are as follows:
Y=cos (Aw)*sin(Bw)-sin(Aw)*cos(Bw)*cos(Bj-Aj) (4)
Wherein, AwFor the latitude of the base station to be measured, the AjFor the longitude of the base station to be measured, BjFor the most strong grid
The longitude of lattice central point, BwFor the latitude of the most strong grid central point.
S1602 determines base to be measured according to the corresponding projective transformation value of the most strong grid central point of each of multiple grid layers
The azimuth stood.
Projection of the central point of the most strong grid in each grid layer in X-axis is obtained by the method in step S1601
Changing value, and be added value of each most strong grid central point in X-axis to obtain numerical value x '.Similar, calculate each grid
Projection changing value of the central point of most strong grid in layer in Y-axis, and the value phase by each most strong grid central point in Y-axis
Add to obtain numerical value y '.
According to above-mentioned numerical value x, numerical value y and arctan function, it can calculate and calculate public with angle in Y-axis, angle theta
Formula:
θ=arctan (| x'/y'|) * (180/ π) (5)
Then, quadrant where judging base station according to coordinate system X value and Y value determines base station further according to quadrant where base station
Simulated-azimuth angle, specific decision rule are as shown in table 1 below.
Table 1
| X-axis | Y-axis | Quadrant | Simulated-azimuth angle |
| X>0 | Y>0 | First quartile | θ |
| X<0 | Y>0 | Second quadrant | 360°-θ |
| X<0 | Y<0 | Third quadrant | 180°+θ |
| X>0 | Y<0 | Fourth quadrant | 180°-θ |
The method that base station azimuth provided in an embodiment of the present invention is verified, when that can not determine base station azimuth information, energy
Enough calculation base station simulated-azimuth angles, for reference, application value is high, and the probability for verifying out exception is big, has practicability.And
And this method passes through acquisition magnanimity sampled point in a manner of big data, and reports sampled point more random, more extensive, can more embody
Data source has good objectivity out, can be used for the whole network generaI investigation, to improve the efficiency verified abnormal base station.
In an embodiment of the present invention, the method that base station azimuth is verified further include:
Whether S170 judges base station to be measured according to the reference azimuth at the simulated-azimuth angle of base station to be measured and base station to be measured
It is abnormal.
In an embodiment of the present invention, by by the reference azimuth phase at the simulated-azimuth angle of base station to be measured and base station to be measured
Compare, it can be determined that whether the base station is abnormal.
Table 2 is shown according to posture instrument measurement result, the deviation at statistical simulation azimuth and measured direction angle, corresponding to calculate
Method accuracy rate.
Table 2
| Base station number is surveyed | Base station number of the deviation in 30 ° | Accuracy rate |
| 204 | 179 | 87% |
| Base station number is surveyed | Base station number of the deviation in 60 ° | Accuracy rate |
| 204 | 200 | 98% |
| Base station number is surveyed | Base station number of the deviation in 90 ° | Accuracy rate |
| 4 | 204 | 100% |
As shown in table 2, simulated-azimuth angle and measured direction angular displacement the algorithm calculating accuracy rate within 30 ° reach 87%；
Simulated-azimuth angle and measured direction the angular displacement algorithm within 60 ° calculate accuracy rate and reach 89%；Simulated-azimuth angle and actual measurement side
Azimuth deviation algorithm within 90 ° calculates accuracy rate and reaches 100%.The verification result of accuracy rate is measured according to existing net posture instrument,
And the considerations of verifying accuracy in practice for production, it is preferred that whether using 60 ° of azimuth angle deviation thresholdings as exception
Criterion it is the most suitable.
Therefore, the azimuth for the calculated base station of method that base station azimuth provided in an embodiment of the present invention is verified has very
High accuracy rate.
Below with reference to specific embodiment, the method verified base station azimuth provided in an embodiment of the present invention is said
It is bright.Fig. 3 shows the structural schematic diagram of the base station azimuth check device 300 of one embodiment of the invention, which includes:
Sampled point determining module 310, for obtaining measurement report MR data, and according to the mark of MR data and base station to be measured
Information determines each sampled point of base station to be measured.
Grid determining module 320, it is each for being obtained according to the MR data of fingerprint base and each sampled point of base station to be measured
The location information of sampled point, and according to the map of the location information of sampled point and rasterizing determine each sampled point locating for grid
Lattice.
Distance calculation module 330, for calculating according to the location information of each sampled point and the location information of base station to be measured
The distance between base station to be measured and each sampled point.
Grid layer determining module 340, for according to pre-determined distance, sampled point location information and base station to be measured with each adopt
Grid locating for each sampled point is divided into multiple grid layers, and determines the number of plies of grid layer by the distance between sampling point.
Most strong grid determining module 350, the signal strength of the sampled point for including based on grid each in grid layer, really
The most strong grid of fixed grid compartment.
Azimuth obtains module 360, for obtaining the location information of most strong grid central point, and according to most strong grid center
The location information of point and the location information of base station to be measured, determine the simulated-azimuth angle of base station to be measured.
In the embodiment of this basis, base station azimuth check device further include:
Judgment module 370, for based on base station to be measured simulated-azimuth angle and base station to be measured reference azimuth, judge to
Survey whether base station is abnormal.
In an embodiment of the present invention, the location information of each sampled point is the longitude and latitude of each sampled point, to be measured
The location information of base station is the longitude and latitude of base station to be measured.
In an embodiment of the present invention, grid layer determining module 340 is specifically used for:
The distance between base station to be measured and each sampled point are obtained into the first numerical value divided by pre-determined distance；
First numerical value is calculated, to determine the number of plies of grid layer.
In an embodiment of the present invention, most strong grid determining module 350 is specifically used for:
Obtain the signal strength indication of each grid in grid layer, the signal strength indication of grid is that include all adopt in grid
The average value of the signal strength of sampling point；
Using the maximum grid of signal strength indication in grid layer as the most strong grid of grid layer.
In an embodiment of the present invention, azimuth obtains module 360 and is specifically used for:
The location information of location information and base station to be measured to the central point of most strong grid carries out projective transformation, obtains most strong
The corresponding projective transformation value of grid central point；
The side of base station to be measured is determined according to the corresponding projective transformation value of the most strong grid central point of each of multiple grid layers
Parallactic angle.
Device provided in an embodiment of the present invention, measure base station azimuth when, have practicability, objectivity and precisely
Property.
The other details for the device that base station azimuth according to an embodiment of the present invention is verified combine Fig. 1 to Fig. 2 to retouch with more than
The method that the base station azimuth according to an embodiment of the present invention stated is verified is similar, and details are not described herein.
The method and apparatus that the base station azimuth according to an embodiment of the present invention described in conjunction with Fig. 1 to Fig. 3 is verified can be by
The equipment that base station azimuth is verified is realized.Fig. 4 be show according to the base station azimuth of inventive embodiments verify equipment it is hard
400 schematic diagram of part structure.
As shown in figure 4, the equipment 400 that the base station azimuth in the present embodiment is verified includes: processor 401, memory
402, communication interface 403 and bus 410, wherein processor 401, memory 402, communication interface 403 are connected by bus 410
And complete mutual communication.
Specifically, above-mentioned processor 401 may include central processing unit (CPU) or specific integrated circuit (ASIC), or
Person may be configured to implement one or more integrated circuits of the embodiment of the present invention.
Memory 402 may include the mass storage for data or instruction.For example it rather than limits, memory
402 may include HDD, floppy disk drive, flash memory, CD, magneto-optic disk, tape or universal serial bus (USB) driver or two
The combination of a or more the above.In a suitable case, memory 402 may include that can be removed or non-removable (or solid
Medium calmly).In a suitable case, memory 402 can be inside or outside the equipment 400 that base station azimuth is verified.?
In specific embodiment, memory 402 is non-volatile solid state memory.In a particular embodiment, memory 402 includes read-only deposits
Reservoir (ROM).In a suitable case, which can be the ROM of masked edit program, programming ROM (PROM), erasable PROM
(EPROM), electric erasable PROM (EEPROM), electrically-alterable ROM (EAROM) or flash memory or two or more the above
Combination.
Communication interface 403 is mainly used for realizing in the embodiment of the present invention between each module, device, unit and/or equipment
Communication.
Bus 410 includes hardware, software or both, and the component for the equipment 400 that base station azimuth is verified is coupled to each other
Together.For example it rather than limits, bus may include accelerated graphics port (AGP) or other graphics bus, enhancing industrial standard
Framework (EISA) bus, front side bus (FSB), super transmission (HT) interconnection, Industry Standard Architecture (ISA) bus, infinite bandwidth are mutual
Company, low pin count (LPC) bus, memory bus, micro- channel architecture (MCA) bus, peripheral component interconnection (PCI) bus,
PCI-Express (PCI-X) bus, Serial Advanced Technology Attachment (SATA) bus, Video Electronics Standards Association part (VLB) are total
The combination of line or other suitable buses or two or more the above.In a suitable case, bus 410 may include
One or more buses.Although specific bus has been described and illustrated in the embodiment of the present invention, the present invention considers any suitable
Bus or interconnection.
That is, the equipment 400 that base station azimuth shown in Fig. 4 is verified may be implemented as include: processor 401,
Memory 402, communication interface 403 and bus 410.Processor 401, memory 402 and communication interface 403 are connected by bus 410
It connects and completes mutual communication.Memory 402 is for storing program code；Processor 401 is deposited by reading in memory 402
The executable program code of storage runs program corresponding with executable program code, for executing any embodiment of the present invention
In the method verified of base station azimuth, to realize the method and dress of base station azimuth verification describe in conjunction with Fig. 1 to Fig. 3
It sets.
The embodiment of the present invention also provides a kind of computer storage medium, and computer journey is stored in the computer storage medium
Sequence instruction；The computer program instructions realize the side that base station azimuth provided in an embodiment of the present invention is verified when being executed by processor
Method.
It should be clear that the invention is not limited to specific configuration described above and shown in figure and processing.
For brevity, it is omitted here the detailed description to known method.In the above-described embodiments, several tools have been described and illustrated
The step of body, is as example.But method process of the invention is not limited to described and illustrated specific steps, this field
Technical staff can be variously modified, modification and addition after understanding spirit of the invention, or suitable between changing the step
Sequence.
Functional block shown in structures described above block diagram can be implemented as hardware, software, firmware or their group
It closes.When realizing in hardware, it may, for example, be electronic circuit, specific integrated circuit (ASIC), firmware appropriate, insert
Part, function card etc..When being realized with software mode, element of the invention is used to execute program or the generation of required task
Code section.Perhaps code segment can store in machine readable media program or the data-signal by carrying in carrier wave is passing
Defeated medium or communication links are sent." machine readable media " may include any medium for capableing of storage or transmission information.
The example of machine readable media includes electronic circuit, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), soft
Disk, CD-ROM, CD, hard disk, fiber medium, radio frequency (RF) link, etc..Code segment can be via such as internet, inline
The computer network of net etc. is downloaded.
It should also be noted that, the exemplary embodiment referred in the present invention, is retouched based on a series of step or device
State certain methods or system.But the present invention is not limited to the sequence of above-mentioned steps, that is to say, that can be according in embodiment
The sequence referred to executes step, may also be distinct from that the sequence in embodiment or several steps are performed simultaneously.
The above description is merely a specific embodiment, it is apparent to those skilled in the art that,
For convenience of description and succinctly, the system, module of foregoing description and the specific work process of unit can refer to preceding method
Corresponding process in embodiment, details are not described herein.It should be understood that scope of protection of the present invention is not limited thereto, it is any to be familiar with
Those skilled in the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or substitutions,
These modifications or substitutions should be covered by the protection scope of the present invention.
Claims (10)
1. a kind of method that base station azimuth is verified, which is characterized in that the described method includes:
Measurement report MR data are obtained, and the base station to be measured is determined according to the identification information of the MR data and base station to be measured
Each sampled point；
According to the MR number of fingerprint base and each sampled point of the base station to be measured, believe according to the position for obtaining each sampled point
Breath, and according to the map of the location information of the sampled point and rasterizing determine each sampled point locating for grid；
According to the location information of the location information of each sampled point and the base station to be measured, the base station to be measured and institute are calculated
State the distance between each sampled point；
According to pre-determined distance, the sampled point location information and the base station to be measured and each sampled point between away from
From grid locating for each sampled point being divided into multiple grid layers, and determine the number of plies of the grid layer；
Signal strength based on the sampled point that each grid in the grid layer includes determines the most strong grid of the grid layer；
Obtain the location information of the most strong grid central point, and according to the location information of the most strong grid central point and described
The location information of base station to be measured determines the simulated-azimuth angle of the base station to be measured.
2. the method according to claim 1, wherein the method also includes:
According to the reference azimuth at the simulated-azimuth angle of the base station to be measured and the base station to be measured, judge that the base station to be measured is
It is no to be abnormal.
3. the method according to claim 1, wherein the location information of each sampled point is each adopted to be described
The longitude and latitude of sampling point, the location information of the base station to be measured are the longitude and latitude of the base station to be measured.
4. the method according to claim 1, wherein the position according to pre-determined distance, the sampled point is believed
Breath and the distance between the base station to be measured and each sampled point, grid locating for each sampled point are divided into multiple
Grid layer, comprising:
The distance between the base station to be measured and each sampled point are obtained into the first numerical value divided by pre-determined distance；
First numerical value is calculated, with the number of plies of the determination grid layer.
5. the method according to claim 1, wherein described adopted based on what each grid in the grid layer included
The wireless signal strength of sampling point determines the most strong grid of the grid layer, comprising:
The signal strength indication of each grid in the grid layer is obtained, the signal strength indication of the grid, which is in the grid, includes
All sampled points signal strength average value；
Using the maximum grid of signal strength indication described in the grid layer as the most strong grid of the grid layer.
6. the method according to claim 1, wherein the location information of most strong grid central point described in the foundation
With the location information of the base station to be measured, the azimuth of the base station to be measured is determined, comprising:
The location information of location information and the base station to be measured to the central point of the most strong grid carries out projective transformation, obtains
The corresponding projective transformation value of the most strong grid central point；
The base station to be measured is determined according to the corresponding projective transformation value of the most strong grid central point of each of the multiple grid layer
Azimuth.
7. according to the method described in claim 6, it is characterized in that, the projective transformation value includes the most strong grid central point
In the projective transformation value of projective transformation value and the most strong grid central point in the second reference axis in the first reference axis；Its
In,
Projective transformation value X in first reference axis are as follows:
X=sin (Bj-Aj)*cos(Bw)
Projective transformation value Y in first reference axis are as follows:
Y=cos (Aw)*sin(Bw)-sin(Aw)*cos(Bw)*cos(Bj-Aj)
Wherein, AwFor the latitude of the base station to be measured, the AjFor the longitude of the base station to be measured, BjFor in the most strong grid
The longitude of heart point, BwFor the latitude of the most strong grid central point.
8. the device that a kind of base station azimuth is verified, which is characterized in that described device includes:
Sampled point determining module is believed for obtaining measurement report MR data, and according to the MR data and the mark of base station to be measured
Breath determines each sampled point of the base station to be measured；
Grid determining module, it is described each for being obtained according to the MR data of fingerprint base and each sampled point of the base station to be measured
The location information of sampled point, and each sampled point institute is determined according to the location information of the sampled point and the map of rasterizing
The grid at place；
Distance calculation module, for according to the location information of each sampled point and the location information of the base station to be measured, meter
Calculate the distance between the base station to be measured and each sampled point；
Grid layer determining module, for according to pre-determined distance, the sampled point location information and the base station to be measured with it is described
Grid locating for each sampled point is divided into multiple grid layers, and determines the grid by the distance between each sampled point
The number of plies of layer；
Most strong grid determining module, the signal strength of the sampled point for including based on each grid in the grid layer determine
The most strong grid of the grid layer；
Azimuth obtains module, for obtaining the location information of the most strong grid central point, and according in the most strong grid
The location information of the location information of heart point and the base station to be measured determines the simulated-azimuth angle of the base station to be measured.
9. the equipment that a kind of base station azimuth is verified, which is characterized in that the equipment includes: processor and is stored with computer
The memory of program instruction；
The processor realizes the base station orientation as described in claim 1-7 any one when executing the computer program instructions
The method that angle is verified.
10. a kind of computer storage medium, which is characterized in that be stored with computer program in the computer storage medium and refer to
It enables, the base station azimuth as described in claim 1-7 any one is realized when the computer program instructions are executed by processor
The method of verification.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111615138A (en) * | 2020-05-15 | 2020-09-01 | 北京交通大学 | Strong, medium and weak field region dividing method for mobile base station co-located high-voltage power transmission iron tower |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS635214A (en) * | 1986-06-25 | 1988-01-11 | Canon Electronics Inc | Magnetic encoder apparatus |
| CN101520325A (en) * | 2008-12-18 | 2009-09-02 | 中国移动通信集团江苏有限公司 | Automatic monitor for angle of base station antenna and automatic monitoring method |
| CN101753228A (en) * | 2008-11-28 | 2010-06-23 | 中国移动通信集团河南有限公司 | Method and device for detecting angle state of antenna in cell |
| CN102413479A (en) * | 2010-09-26 | 2012-04-11 | 北京迪特卡得通信设备有限公司 | Dynamic evaluation method of cell coverage in communication network |
| CN103428726A (en) * | 2012-05-15 | 2013-12-04 | 中国移动通信集团黑龙江有限公司 | Antenna angle optimization method and system |
| CN106844757A (en) * | 2017-02-17 | 2017-06-13 | 山东浪潮商用系统有限公司 | A kind of antenna azimuth Outlier mining method |
| CN106993299A (en) * | 2017-05-10 | 2017-07-28 | 中国联合网络通信集团有限公司 | The localization method and device at antenna optimum orientation angle |
-
2017
- 2017-12-31 CN CN201711494823.4A patent/CN109996180B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS635214A (en) * | 1986-06-25 | 1988-01-11 | Canon Electronics Inc | Magnetic encoder apparatus |
| CN101753228A (en) * | 2008-11-28 | 2010-06-23 | 中国移动通信集团河南有限公司 | Method and device for detecting angle state of antenna in cell |
| CN101520325A (en) * | 2008-12-18 | 2009-09-02 | 中国移动通信集团江苏有限公司 | Automatic monitor for angle of base station antenna and automatic monitoring method |
| CN102413479A (en) * | 2010-09-26 | 2012-04-11 | 北京迪特卡得通信设备有限公司 | Dynamic evaluation method of cell coverage in communication network |
| CN103428726A (en) * | 2012-05-15 | 2013-12-04 | 中国移动通信集团黑龙江有限公司 | Antenna angle optimization method and system |
| CN106844757A (en) * | 2017-02-17 | 2017-06-13 | 山东浪潮商用系统有限公司 | A kind of antenna azimuth Outlier mining method |
| CN106993299A (en) * | 2017-05-10 | 2017-07-28 | 中国联合网络通信集团有限公司 | The localization method and device at antenna optimum orientation angle |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111615138A (en) * | 2020-05-15 | 2020-09-01 | 北京交通大学 | Strong, medium and weak field region dividing method for mobile base station co-located high-voltage power transmission iron tower |
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