CN106376007A - Positioning method and system for base station coverage performance - Google Patents

Abstract

The invention discloses a positioning method for a base station coverage performance. The method comprises: according to basic data, a three-dimensional map, and a ray tracking model, a cell simulation environment is established; the ray tracking model is corrected, a cell simulation environment corresponding to the corrected ray tracking model is obtained, and a cell antenna height is checked based on the three-dimensional map; RSRP sweep-frequency data are measured practically by using the cell antenna with the checked cell antenna height, rasterization calculation is carried out according to the cell simulation environment to obtain cell simulation RSRP data, and the cell simulation RSRP data and the RSRP sweep-frequency data are checked; and according to a checking result of the cell simulation RSRP data and the RSRP sweep-frequency data, whether the cell is a suspected problem cell is determined. In addition, the invention also discloses a positioning system for a base station coverage performance.

Description

A kind of base station covering performance localization method and system

Technical field

The present invention relates to the base station construction technology in moving communicating field, a kind of more particularly, to base station covering performance Localization method and system.

Background technology

Due to the complexity of wireless network environment, to Long Term Evolution (lte, long term evolution) skill The quality control work of the base station covering performance in art brings very big difficulty.Therefore, how fast and effeciently Collect quality of wireless network index, find problem present in lte networking and solve described problem, be The emphasis of quality control work and difficult point during lte networking.

During lte networking, the construction quality quality of network determines whether examination link can accomplish Open and run.At present, the mode of the construction quality of control network is: the checking report of single station.The checking of single station Including preparation, validation test, question analysis process, single station checking four parts of report output before test.As Fruit test process or result show obvious problem, then need these problem logs in " single station validation problem Log " in, and provide case study.Specifically, hardware installation problem transfers to project installation team to solve, Functional issues coordinate solution by evolved node (enodeb, evolved nodeb) engineer.Work as institute After stating Resolving probiems, carry out validation test again, until test process and interpretation of result do not find substantially Problem；Subsequently, according to test result output " the checking report of single station ".

But, single station checking described in prior art has a following technical problem:

1st, common carrier provincial company cannot be audited to the accuracy that measured data is filled in.

Because the checking report of single station is to be provided and filled in by common carrier branch company, the data therefore being provided Accuracy and verity cannot be audited by provincial company.Provincial company can not carry out examining of scene, can only examine Layout data and the difference of the measured data providing, the coverage effect of test is also by artificially judging whether to close Reason, inreal and planning effect is contrasted.Therefore, provincial company cannot be accurate to basic data Property is audited.The control thus leading to provincial company can not be truly realized " with end for beginning ", technically can not Directly planned, nor accomplished to measured data to mark examination ＆ verification it is impossible to real verify and determine actual measurement Data and the difference of layout data.

2nd, common carrier provincial company sampling observation mode existing defects.

Common carrier provincial company is only 10% to the sampling observation ratio of single station checking report, although passing through examination ＆ verification one The list station checking report of certainty ratio, common carrier provincial company can audit the quality of control networking.But It is that in view of workload, provincial company can only be inspected by random samples, thus can not carry out control to the overall situation to a certain extent. Therefore, the problem points of control local have that randomness is too high.

3rd, common carrier provincial company generally adopts manual type each base station to be checked and accepted and examination ＆ verification analysis at present, Review efficiency is low, and examination ＆ verification coverage rate is little.

To sum up, traditional quality control generally refers to be carried out the checking of single station, led to by common carrier branch company The mode of letter operator provincial company sampling observation, carrys out the construction quality of control lte network, therefore existing can not be accurate Contrast planning and the difference of actual effect, and the defect that workload is big.It follows that base station singly station checking Cycle length, less efficient it is impossible to the problem of quick and efficient locating base station covering performance.

Content of the invention

In view of this, embodiment of the present invention expectation provides a kind of base station covering performance localization method and system, no The work efficiency of lte networking quality only can be improved so that the network coverage more comprehensively；Can also be effectively The construction quality of control lte network, remote centralized finds covering performance problem.

For reaching above-mentioned purpose, the technical scheme of the embodiment of the present invention is achieved in that

Embodiments provide a kind of base station covering performance localization method, comprising:

Set up cell simulated environment according to basic data, three-dimensional map and ray tracing models；

Ray tracing models corresponding cell simulated environment after correcting described ray tracing models and being corrected, According to described three-dimensional map, antenna in cell is highly verified；After highly being verified using described antenna in cell Antenna in cell surveys Reference Signal Received Power rsrp frequency sweep data, according to described cell simulated environment grid Change and calculate cell emulation rsrp data, and check described cell emulation rsrp data and sweep with described rsrp Frequency evidence；

Emulate the checked result of rsrp data and described rsrp frequency sweep data according to described cell, judge institute State whether cell is doubtful problem cells.

In such scheme, the described ray tracing models of described correction include:

In existing network environment select corresponding with described cell towards scene, according to the described actual measurement towards scene Direct projection coefficient in Data correction rsrp formula, reflection coefficient and diffraction coefficient；

Described direct projection coefficient is that the rsrp measured value of each drive test point is pre- with the rsrp direct projection of each drive test point Divided by 10 after the absolute value summation of the difference of measured value, then ask with the ray propagation distance common logarithm of each drive test point The reciprocal multiplication of sum；

Described reflection coefficient, wherein, institute are calculated according to described the first model predictive error summation towards scene State the rsrp measured value that the first model predictive error summation is each drive test point described and each drive test point The summation of the after the recovery square of rsrp direct projection and reflection predictive value；

Described diffraction coefficient, wherein, institute are calculated according to described the second model predictive error summation towards scene State the rsrp measured value that the second model predictive error summation is each drive test point described and each drive test point The summation of the after the recovery square of rsrp direct projection and diffraction predictive value.

In such scheme, described according to described cell simulated environment rasterizing calculate cell emulation rsrp data, And check described cell emulation rsrp data and include with rsrp frequency sweep data:

According to predetermined precision by described cell simulated environment rasterizing, and calculated using described rsrp formula The described cell emulation rsrp data of each grid；

Each grid described in described cell is carried out with on-the-spot test obtain described in one group of each grid described Rsrp frequency sweep data；

Calculate described the one of the emulation rsrp data of each grid described in described cell and each grid described The mean error of the meansigma methodss of group rsrp frequency sweep data；

Calculate the standard variance of the one group of rsrp frequency sweep data of each grid described in described cell.

In such scheme, described rsrp data and described rsrp frequency sweep data are emulated according to described cell Checked result, judges whether described cell includes as doubtful problem cells:

When the described cell emulation rsrp data of all grids of described cell simulated environment and described rsrp sweep The meansigma methodss of mean error between frequency evidence, the described rsrp of all grids of described cell simulated environment sweep When the meansigma methodss of the standard variance of frequency evidence respectively reach the first judging threshold and the second judging threshold, really Recognizing described cell is described doubtful problem cells.

In such scheme, also include:

Audit described doubtful problem cells.

The embodiment of the present invention additionally provides a kind of base station covering performance alignment system, comprising:

Simulated environment sets up module, little for being set up according to basic data, three-dimensional map and ray tracing models Area's simulated environment；

Ray model correction module, for ray trace mould after correcting described ray tracing models and being corrected Type corresponding cell simulated environment；

Antenna height verifies module, for highly being verified to antenna in cell according to described three-dimensional map；

Verification data module, for the antenna in cell actual measurement rsrp after highly being verified using described antenna in cell Frequency sweep data, calculates cell emulation rsrp data according to described cell simulated environment rasterizing, and checks institute State cell emulation rsrp data and described rsrp frequency sweep data；

Problem cells output module, for emulating rsrp data and described rsrp frequency sweep according to described cell Whether the checked result of data, judge described cell as doubtful problem cells.

In such scheme, described ray model correction module includes:

Towards scene select unit, for select in existing network environment corresponding with described cell towards scene；

Direct projection coefficient correction unit, for correcting in rsrp formula according to the described measured data towards scene Direct projection coefficient；

Reflection coefficient corrects unit, for correcting described rsrp according to the described described measured data towards scene Reflection coefficient in formula；

Diffraction coefficient corrects unit, for correcting described rsrp according to the described described measured data towards scene Diffraction coefficient in formula.

In such scheme, described verification data module includes:

Emulation rsrp data cell, for according to predetermined precision by described cell simulated environment rasterizing, And the described cell emulation rsrp data of each grid is calculated using described rsrp formula；

Rsrp frequency sweep data cell, obtains for carrying out on-the-spot test to each grid described in described cell The rsrp frequency sweep data described in one group of each grid described；

Mean error unit, for calculating the described cell emulation rsrp data of each grid described and described The mean error of the meansigma methodss of described one group of rsrp frequency sweep data of each grid；

Standard variance unit, for calculating the standard of described one group of rsrp frequency sweep data of each grid described Variance.

In such scheme, described problem cells output module according to described cell emulate rsrp data with described The checked result of rsrp frequency sweep data, judges whether described cell includes as doubtful problem cells:

When the described cell emulation rsrp data of all grids of described cell simulated environment and described rsrp sweep The meansigma methodss of mean error between frequency evidence, the described rsrp of all grids of described cell simulated environment sweep When the meansigma methodss of the standard variance of frequency evidence respectively reach the first judging threshold and the second judging threshold, really Recognizing described cell is described doubtful problem cells.

Base station covering performance localization method and system that the embodiment of the present invention is provided, are determined by base station covering performance Position system sets up cell simulated environment according to basic data, three-dimensional map and ray tracing models；Correction is described Ray tracing models ray tracing models corresponding cell simulated environment after being corrected, according to described three-dimensional Map is highly verified to antenna in cell；Antenna in cell actual measurement after highly being verified using described antenna in cell Reference Signal Received Power (rsrp, reference signal receiving power) frequency sweep data, according to Described cell simulated environment rasterizing calculates cell emulation rsrp data, and checks described cell emulation rsrp Data and rsrp frequency sweep data, emulate rsrp data and described rsrp frequency sweep data according to described cell Checked result, judge described cell whether as doubtful problem cells.So, effectively it has been connected lte planning Stage and construction period are so that the work efficiency of control lte construction quality improves, and make the network coverage more Comprehensively；Furthermore, it is possible to remote centralized find the problem of network covering property it is ensured that lte networking " with Be eventually to begin " requirement；Meanwhile, solve the accuracy of basic data, the optimization being higher level is laid good Good basis.

In addition, the base station covering performance localization method that provided of the embodiment of the present invention and system, input cost is low, And effectively prevent customer loss；And, workflow is succinctly efficient, can concentrate analysis, centralized management, Concentrate control and focus utilization basic data and frequency sweep data, realize lte network real " opening i.e. operation ".

Brief description

The base station covering performance localization method that Fig. 1 provides for the embodiment of the present invention 1 realize schematic flow sheet；

The composition structural representation of the three-dimensional map that Fig. 2 provides for the embodiment of the present invention 1；

The composition structural representation of the ray tracing models that Fig. 3 provides for the embodiment of the present invention 1；

The composition structural representation of the grid that Fig. 4 provides for the embodiment of the present invention 1；

Cell simulated environment that Fig. 5 provides for the embodiment of the present invention 1 and cell survey the comparison diagram of environment；

The composition structural representation of the base station covering performance alignment system that Fig. 6 provides for the embodiment of the present invention 2.

Specific embodiment

In the embodiment of the present invention, and penetrated according to basic data, three-dimensional map by base station covering performance alignment system Line trace model sets up cell simulated environment；Ray trace after correcting described ray tracing models and being corrected Model corresponding cell simulated environment, highly verifies to antenna in cell according to described three-dimensional map；Use Antenna in cell after described antenna in cell is highly verified surveys Reference Signal Received Power rsrp frequency sweep data, Cell emulation rsrp data is calculated according to described cell simulated environment rasterizing, and checks described cell emulation Rsrp data and rsrp frequency sweep data, emulate rsrp data and described rsrp frequency sweep according to described cell Whether the checked result of data, judge described cell as doubtful problem cells.

Below in conjunction with the accompanying drawings and specific embodiment is further described in detail to the present invention again.

Embodiment 1

The base station covering performance localization method that Fig. 1 provides for the embodiment of the present invention 1 realize schematic flow sheet, As shown in figure 1, methods described includes:

Step 110: set up cell simulated environment according to basic data, three-dimensional map and ray tracing models.

Here, described basic data be planning base station work parameter evidence, including cell name, base station name and The data such as longitude and latitude.

Specifically, the composition structural representation of the three-dimensional map that Fig. 2 provides for the embodiment of the present invention 1, such as schemes Shown in 2, described three-dimensional map is by cell, subdistrict architecture, cell base station, antenna, network element and important friendship The basic figure layer composition such as logical arterial highway；Cell figure layer includes cell terrain elevation information, subdistrict architecture figure layer bag Include the three-dimensional properties information such as subdistrict architecture height and shape facility.Described three-dimensional map is described cell emulation Environment provides accurate GIS-Geographic Information System.Therefore, what described three-dimensional map provided has shadow to radio wave propagation The accurate geography information rung, such as building coordinate information are it is ensured that the accuracy of ray trace.Thus may be used Know, the geography information that described three-dimensional map includes is by ray tracing models correction, covers and interference analysis Important foundation.

The composition structural representation of the ray tracing models that Fig. 3 provides for the embodiment of the present invention 1, as Fig. 3 institute Show, described ray tracing models are 3-D ray-tracing model, can be used to follow the trail of the propagation of cell radio ripple During from antenna for base station launch point to cell receiving point all possible ray path, and calculate ray Rsrp.

Firstly the need of explanation, for different cell simulated environment all only using same ray trace mould Type, and carry out the correction of ray coefficient factor by the method in following step 120.Reason is: due to one A little cell simulated environment go for urban environment, and other cell simulated environment may be only available for suburb Area.Therefore, the frequency range of different districts simulated environment and antenna height scope are different from, thus making in theory Obtain the different ray tracing models of different districts simulated environment correspondence.But, if ring is emulated to different districts The different ray tracing models of border setting, often lead to complicated workload.In consideration of it, adopting a ray Trace model, be simultaneous for varying environment carry out emulating by verifying the propagation coefficient of ray tracing models, school Just.

In addition, described ray tracing models only include direct projection, reflection and three kinds of situations of diffraction.Show in actual Under net environment, the circulation way of wireless signal has following four: direct projection, reflection, scattering and diffraction.This is several Planting propagation condition is to produce under different communication environments.In view of scattering situation is very complicated, in Practical Project In practice, scattering situation is not considered.

Step 120: the corresponding cell of ray tracing models after correcting described ray tracing models and being corrected Simulated environment, and according to described three-dimensional map, antenna in cell is highly verified.

As described in above-mentioned steps 110, due to all being penetrated using same for different cell simulated environment Line trace model, thus need described ray tracing models to be corrected, to obtain being applied to each cell The ray tracing models of simulated environment.In particular, the ray coefficient only to rsrp in ray tracing models It is corrected, covering and the interference prediction degree of accuracy of cell simulated environment could be improved.Here, described to penetrating Line trace model is corrected, particularly as being that ray parameter each in rsrp is corrected；Afterwards, use Rsrp formula after correction parameter just can try to achieve emulation rsrp data, thus entering with rsrp frequency sweep data Row compares.Ray tracing models corresponding cell emulation ring after correcting described ray tracing models and being corrected Border.

Specifically.In this step, the described ray tracing models of described correction include:

A. in existing network environment select corresponding with described cell towards scene, according to the described reality towards scene Direct projection coefficient in survey Data correction rsrp formula, reflection coefficient and diffraction coefficient；Wherein, described direct projection Coefficient is the exhausted of rsrp measured value and the difference of the rsrp direct projection predictive value of each drive test point of each drive test point Divided by 10 after suing for peace to value, then the reciprocal multiplication with the ray propagation distance common logarithm summation of each drive test point, Concrete formula is:Wherein, δ₁For direct projection coefficient, i is each drive test point, p_r ^tI () is the rsrp measured value of each drive test point, p_r ^mI () is the rsrp direct projection predictive value of each drive test point, d_iFor the ray propagation distance of each drive test point, n is the positive integer more than 0.

B. described reflection coefficient is calculated according to described the first model predictive error summation towards scene, wherein, Described first model predictive error summation is rsrp measured value and each drive test point of each drive test point described The summation of the after the recovery square of rsrp direct projection and reflection predictive value, concrete formula is:Wherein, pr^m(i,δ₁,δ₂) it is the rsrp direct projection of each drive test point and reflection is pre- Measured value, δ₂For reflection coefficient；

Described diffraction coefficient, wherein, institute are calculated according to described the second model predictive error summation towards scene State the rsrp measured value that the second model predictive error summation is each drive test point described and each drive test point The summation of the after the recovery square of rsrp direct projection and diffraction predictive value, concrete formula is:Wherein, p_r ^m(i, δ₁, δ₃) the rsrp direct projection of each drive test point and diffraction prediction Value, δ₃For diffraction coefficient.

First, in order to ensure the accuracy correcting, need selection in existing network environment corresponding with described cell Towards scene.In view of the accuracy of ray tracing models depends primarily on the barriers such as building to base station signal Propagate impact, and difference towards communication environments under scene to base station signal direct projection, reflection, diffraction impact It is not quite similar, each cell exists between different co-channel interferences, adjacent frequency interference, Intermodulation Interference and net simultaneously The situation of the various interference such as interference, therefore, it is necessary to select with the topography and geomorphology of described cell, building and Disturbed condition similar corresponding towards scene, to realize to the ray coefficient of rsrp in ray tracing models Correction.

Second, according to the selected measured data towards scene correct rsrp formula in direct projection coefficient, Reflection coefficient and diffraction coefficient, to ensure the rsrp in the corresponding described cell simulated environment of described rsrp formula, Wherein, described rsrp formula utilizes measured data to correct propagation model.

Here, described rsrp be carrier wavelength divided by 4 with the product of π, transmission power divided by each cell 2 plus direct projection coefficient power of distance, reflection coefficient and reflection coefficient square between the coordinate points of middle rasterizing The summation of this four numerical value of the direct product of direct product, direct projection coefficient and diffraction coefficient square, concrete formula is $\mathrm{\σ}{\left(\frac{\mathrm{\λ}}{4\mathrm{\π}}\right)}^2\frac{{\mathrm{wp}}_i}{{\left(dis\right(cellid,g\left(i,j\right)\left)\right)}^{2+{\mathrm{\δ}}_1}}\underset{u=1}{\overset{m}{\π}}{(r_u\×{\mathrm{\δ}}_2)}^2\underset{v=1}{\overset{n}{\π}}{(t_v\×{\mathrm{\δ}}_3)}^2,$ Wherein, (i, j) is point coordinates, and λ is to carry Ripple wavelength, wp_iFor transmission power, dis () is distance, and cellid is cell id, and g (i, j) is the coordinate of rasterizing Point, r_uFor reflection coefficient, t_vFor direct projection coefficient, m, n are the positive integer more than 0.

Firstly, it is necessary to described direct projection coefficient δ₁It is corrected.Specifically, described towards scene in select One section of depletion region or path, in this section of region, test terminal only receives the direct signal from base station, no Receive reflection or diffracted signal.In this section of region or path, the rsrp formula of the reception after simplification is:

$\mathrm{\σ}{\left(\frac{\mathrm{\λ}}{4\mathrm{\π}}\right)}^2\frac{{\mathrm{wp}}_i}{{\left(dis\right(cellid,g\left(i,j\right)\left)\right)}^{2+{\mathrm{\δ}}_1}}.$

The unit of account of described rsrp is decibel millivolt dbm.According to the rsrp formula after described simplification, ${\mathrm{pr}}^t\left(i\right)=10\lg \left\{{\left(\frac{\mathrm{\λ}}{4\π}\right)}^2\frac{{\mathrm{wp}}_i}{d_i^{2+{\mathrm{\δ}}_1}}\right\}.$ According to the rsrp formula after described simplification, ${p_r}^m\left(i\right)=10\lg \left\{{\left(\frac{\mathrm{\λ}}{4\π}\right)}^2\frac{{\mathrm{wp}}_i}{d_i^2}\right\}.$ Due to $\underset{i=1}{\overset{n}{\σ}}|{p_r}^t\left(i\right)-{p_r}^m\left(i\right)|=10{\mathrm{\δ}}_1\underset{i=1}{\overset{n}{\σ}}{\mathrm{lgd}}_i,$ Therefore, described direct projection coefficient is ${\mathrm{\δ}}_1=\frac{1}{10}\×\frac{\underset{i=1}{\overset{n}{\σ}}|{p_r}^t\left(i\right)-{p_r}^m\left(i\right)|}{\underset{i=1}{\overset{n}{\σ}}{\mathrm{lgd}}_i}.$

Subsequently, to described reflection coefficient δ₂It is corrected.In order to correct reflection correction coefficient δ₂, in described face Select one section of region or path in scene, test terminal only receives from described base station in this section of region Direct signal and reflected signal.In this section of region or path, the rsrp formula after simplification is:

$\mathrm{\σ}{\left(\frac{\mathrm{\λ}}{4\mathrm{\π}}\right)}^2\frac{{\mathrm{wp}}_i}{{\left(dis\right(cellid,g\left(i,j\right)\left)\right)}^{2+{\mathrm{\δ}}_1}}\underset{u=1}{\overset{m}{\π}}{(r_u\×{\mathrm{\δ}}_2)}^2.$

δ₁It is above-mentioned corrected direct projection coefficient.Based on the rsrp formula after above-mentioned simplification, obtain first Model predictive error summation isAccording to described first model predictive error summation, Described reflection coefficient δ can be obtained₂.

To described diffraction coefficient δ₃The method being corrected, and to described reflection coefficient δ₂The method being corrected Unanimously.In order to correct diffraction correction coefficient δ₃, described towards scene in select one section of region or path, In this section of region, test terminal only receives the direct signal from described base station and diffracted signal.In this section of region Or in path, the rsrp formula after simplification is:

$\mathrm{\σ}{\left(\frac{\mathrm{\λ}}{4\mathrm{\π}}\right)}^2\frac{{\mathrm{wp}}_i}{{\left(dis\right(cellid,g\left(i,j\right)\left)\right)}^{2+{\mathrm{\δ}}_1}}\underset{v=1}{\overset{n}{\π}}{(t_v\×{\mathrm{\δ}}_3)}^2.$

δ₁It is above-mentioned corrected direct projection coefficient.Based on the rsrp formula after above-mentioned simplification, obtain second Model predictive error summation isAccording to described second model predictive error summation, Described diffraction coefficient δ can be obtained₃.

So far, complete the correction to described ray tracing models.

Subsequently, according to described three-dimensional map, antenna in cell is highly verified.Specifically, by described three Depth of building information in dimension map, the quick base station finding that base station antenna height is shorter than subdistrict architecture, Checked in conjunction with live base station information.

Step 130: the antenna in cell actual measurement rsrp frequency sweep data after highly being verified using antenna in cell, root Calculate cell emulation rsrp data according to described cell simulated environment rasterizing, and check described cell emulation Rsrp data and described rsrp frequency sweep data.

Specifically, this step includes:

Step 131: according to predetermined precision by described cell simulated environment rasterizing, and use described rsrp Formula calculates the described cell emulation rsrp data of each grid.

Here, as shown in figure 4, ring can be emulated described cell according to the predetermined 5 meters precision being multiplied by 5 meters Border rasterizing, using the rsrp formula after described corrected direct projection coefficient, reflection coefficient and diffraction coefficient Calculate the central point rsrp data of each grid, obtain one group of cell emulation rsrp data Wherein,Represent the described cell emulation rsrp data of each grid, g1 represents first grid, gn Represent n-th grid, n is positive integer.

The advantage of described rasterizing is: average rapid fading；Reduce the impact that fabric structure causes；Reduce because surveying The impact that examination route selection causes.

Step 132: each grid described in described cell is carried out with on-the-spot test and obtains each grid described Rsrp frequency sweep data described in one group.

Here, carry out on-the-spot test in first grid g1, obtain rsrp frequency sweep data r1 described in a group_g1, r2_g1... ... rk_g1, wherein, r1_g1Represent first rsrp frequency sweep number that first grid build-in test obtains According to rk_g1Represent k-th rsrp frequency sweep data that first grid build-in test obtains, k is positive integer.

The rest may be inferred, carries out on-the-spot test in n-th grid gn, obtains rsrp frequency sweep data r1 described in a group_gn, r2_gn... ... rk_gn, wherein, r1_gnRepresent first rsrp frequency sweep number that n-th grid build-in test obtains According to rk_gnRepresent k-th rsrp frequency sweep data that n-th grid build-in test obtains, k is positive integer.

Step 133: calculate the described cell emulation rsrp data of each grid described and each grid described The meansigma methodss of described one group of rsrp frequency sweep data mean error.

In step 133, described one group of rsrp frequency sweep data of calculating each grid described is average first Value.Specifically, the meansigma methodss of described one group of rsrp frequency sweep data of each grid described are: one group of rsrp Frequency sweep data summation after divided by described one group of rsrp frequency sweep data number value, described Mean Value Formulas are:

${\stackrel{\&overbar;}{r}}_{gn}=\frac{1}{m}\underset{k=1}{\overset{m}{\σ}}{\mathrm{rk}}_{gn}.$

Here, m is positive integer.

The described cell of each grid described emulates described one group of rsrp data and each grid described The mean error of the meansigma methodss of rsrp frequency sweep data is: the described cell emulation rsrp of each grid described Data deducts the meansigma methodss of described one group of rsrp frequency sweep data of each grid described, described mean error ε's Computing formula is: ${\mathrm{\ϵ}}_{gn}={\stackrel{\&overbar;}{s}}_{gn}-{\stackrel{\&overbar;}{r}}_{gn}.$

Step 134: calculate the standard variance of described one group of rsrp frequency sweep data of each grid described.

Specifically, the standard variance of described one group of rsrp frequency sweep data of each grid described is: described every Each rsrp frequency sweep data of described one group of rsrp frequency sweep data of individual grid and the institute of each grid described State the quadratic power sum of the difference of one group of rsrp frequency sweep statistical average, then divided by described in each grid described The value of the number of one group of rsrp frequency sweep data, described one group of rsrp frequency sweep data of each grid described Standard variance σ²Formula be: ${\mathrm{\σ}}^2=\frac{1}{m}\underset{k=1}{\overset{m}{\σ}}{({\mathrm{rk}}_{gn}-{\stackrel{\&overbar;}{r}}_{gn})}^2.$

Subsequently, as shown in figure 5, ground physics and chemistry assumes cell simulated environment and cell surveys the comparison diagram of environment.

Step 140: emulate the verification knot of rsrp data and described rsrp frequency sweep data according to described cell Really, judge described cell whether as doubtful problem cells.

Specifically, this step includes:

When the described cell emulation rsrp data of all grids of described cell simulated environment and described rsrp sweep The meansigma methodss of mean error between frequency evidence, the described rsrp of all grids of described cell simulated environment sweep When the meansigma methodss of the standard variance of frequency evidence respectively reach the first judging threshold and the second judging threshold, really Recognizing described cell is described doubtful problem cells.

For example, when the cell frequency sweep grid number that can check described rsrp frequency sweep data is more than 50 When, when described first judging threshold is more than 5dbm and described second judging threshold is more than 8dbm； Or when described first judging threshold is less than -10dbm and described second judging threshold is less than -10dbm When, the described cell of confirmation is described doubtful problem cells.Wherein, described first judging threshold and second is sentenced Certainly threshold value is empirical value, can be obtained based on factors such as actual geomorphological environment, building situations.

After completing described step 140, methods described also includes:

Audit described doubtful problem cells.Here, verified by backstage, auxiliary judgment condition and ground physics and chemistry are in Existing cell simulated environment and cell survey the comparison diagram of environment, can position the cell that goes wrong doubtful reason and Treatment advice.

So far, the process of base station covering performance positioning just completes.

The base station covering performance localization method that the present embodiment provides, has effectively been connected lte planning stage and construction Stage is so that the work efficiency of control lte construction quality improves, and makes the network coverage more comprehensively；And, Can with remote centralized find network coverage problem it is ensured that lte networking " with end for beginning " requirement；With When, solve the accuracy of basic data, good basis is laid in the optimization being higher level；Can not only carry The work efficiency of high lte networking quality so that the network coverage more comprehensively, can also effective control lte The construction quality of network, remote centralized finds the problem of covering performance.

Embodiment 2

The composition structural representation of the base station covering performance alignment system that Fig. 6 provides for the embodiment of the present invention 2, As shown in fig. 6, described system includes:

Simulated environment sets up module 210, for being built according to basic data, three-dimensional map and ray tracing models Vertical cell simulated environment.

Ray model correction module 220, for ray after correcting described ray tracing models and being corrected with Track model corresponding cell simulated environment.

Described ray model correction module 220 includes:

Towards scene select unit 221, for select in existing network environment corresponding with described cell towards field Scape；

Direct projection coefficient correction unit 222, public for rsrp is corrected according to the described measured data towards scene Direct projection coefficient in formula；

Reflection coefficient corrects unit 223, described in being corrected according to the described described measured data towards scene Reflection coefficient in rsrp formula；

Diffraction coefficient corrects unit 224, described in being corrected according to the described described measured data towards scene Diffraction coefficient in rsrp formula.

Antenna height verifies module 230, for highly being verified to antenna in cell according to described three-dimensional map.

Verification data module 240, for the antenna in cell actual measurement rsrp after highly being verified using antenna in cell Frequency sweep data, calculates cell emulation rsrp data according to described cell simulated environment rasterizing, and checks institute State cell emulation rsrp data and described rsrp frequency sweep data.

Described verification data module 240 includes:

Emulation rsrp data cell 241, for according to predetermined precision by described cell simulated environment grid Change, and calculate the described cell emulation rsrp data of each grid using described rsrp formula；

Rsrp frequency sweep data cell 242, obtains for carrying out on-the-spot test to each grid described in described cell Rsrp frequency sweep data described in one group to each grid described；

Mean error unit 243, for calculate each grid described described cell emulation rsrp data and The mean error of the meansigma methodss of described one group of rsrp frequency sweep data of each grid described；

Standard variance unit 244, for calculating described one group of rsrp frequency sweep data of described each grid Standard variance.

Problem cells output module 250, for emulating rsrp data and described rsrp according to described cell Whether the checked result of frequency sweep data, judge described cell as doubtful problem cells.

Specifically, described problem cells output module 250 according to described cell emulate rsrp data with described The checked result of rsrp frequency sweep data, judges whether described cell includes as doubtful problem cells:

When the described cell emulation rsrp data of all grids of described cell simulated environment and described rsrp sweep The meansigma methodss of mean error between frequency evidence, the described rsrp of all grids of described cell simulated environment sweep When the meansigma methodss of the standard variance of frequency evidence respectively reach the first judging threshold and the second judging threshold, really Recognizing described cell is described doubtful problem cells.

In actual applications, described simulated environment sets up module 210, ray model correction module 220, antenna Highly verify module 230, verification data module 240 and problem cells output module 250 all to be appointed by being located at Central processing unit (cpu, central processing unit) in meaning computer equipment, Digital Signal Processing Device (dsp, digital signal processor), microprocessor (mpu) or programmable logic array (fpga, Field programmable gate array) realize.

The above, only presently preferred embodiments of the present invention, it is not intended to limit the protection model of the present invention Enclose.

Claims (9)

1. a kind of base station covering performance localization method is it is characterised in that methods described includes:

Set up cell simulated environment according to basic data, three-dimensional map and ray tracing models；

Ray tracing models corresponding cell simulated environment after correcting described ray tracing models and being corrected, According to described three-dimensional map, antenna in cell is highly verified；After highly being verified using described antenna in cell Antenna in cell surveys Reference Signal Received Power rsrp frequency sweep data, according to described cell simulated environment grid Change and calculate cell emulation rsrp data, and check described cell emulation rsrp data and sweep with described rsrp Frequency evidence；

Emulate the checked result of rsrp data and described rsrp frequency sweep data according to described cell, judge institute State whether cell is doubtful problem cells.

2. method according to claim 1 is it is characterised in that the described ray tracing models of described correction Including:

In existing network environment select corresponding with described cell towards scene, according to the described actual measurement towards scene Direct projection coefficient in Data correction rsrp formula, reflection coefficient and diffraction coefficient；

Described direct projection coefficient is that the rsrp measured value of each drive test point is pre- with the rsrp direct projection of each drive test point Divided by 10 after the absolute value summation of the difference of measured value, then ask with the ray propagation distance common logarithm of each drive test point The reciprocal multiplication of sum；

Described reflection coefficient, wherein, institute are calculated according to described the first model predictive error summation towards scene State the rsrp measured value that the first model predictive error summation is each drive test point described and each drive test point The summation of the after the recovery square of rsrp direct projection and reflection predictive value；

Described diffraction coefficient, wherein, institute are calculated according to described the second model predictive error summation towards scene State the rsrp measured value that the second model predictive error summation is each drive test point described and each drive test point The summation of the after the recovery square of rsrp direct projection and diffraction predictive value.

3. method according to claim 2 it is characterised in that described according to described cell simulated environment Rasterizing calculates cell emulation rsrp data, and checks described cell emulation rsrp data and sweep with rsrp Frequency is according to inclusion:

According to predetermined precision by described cell simulated environment rasterizing, and calculated using described rsrp formula The described cell emulation rsrp data of each grid；

Each grid described in described cell is carried out with on-the-spot test obtain described in one group of each grid described Rsrp frequency sweep data；

Calculate described the one of the emulation rsrp data of each grid described in described cell and each grid described The mean error of the meansigma methodss of group rsrp frequency sweep data；

Calculate the standard variance of the one group of rsrp frequency sweep data of each grid described in described cell.

4. method according to claim 3 is it is characterised in that described emulate rsrp according to described cell Data and the checked result of described rsrp frequency sweep data, judge whether described cell wraps as doubtful problem cells Include:

When the described cell emulation rsrp data of all grids of described cell simulated environment and described rsrp sweep The meansigma methodss of mean error between frequency evidence, the described rsrp of all grids of described cell simulated environment sweep When the meansigma methodss of the standard variance of frequency evidence respectively reach the first judging threshold and the second judging threshold, really Recognizing described cell is described doubtful problem cells.

5. the method according to any one of Claims 1-4 is it is characterised in that methods described also includes:

Audit described doubtful problem cells.

6. a kind of base station covering performance alignment system is it is characterised in that described system includes:

Simulated environment sets up module, little for being set up according to basic data, three-dimensional map and ray tracing models Area's simulated environment；

Ray model correction module, for ray trace mould after correcting described ray tracing models and being corrected Type corresponding cell simulated environment；

Antenna height verifies module, for highly being verified to antenna in cell according to described three-dimensional map；

Verification data module, for the antenna in cell actual measurement rsrp after highly being verified using described antenna in cell Frequency sweep data, calculates cell emulation rsrp data according to described cell simulated environment rasterizing, and checks institute State cell emulation rsrp data and described rsrp frequency sweep data；

Problem cells output module, for emulating rsrp data and described rsrp frequency sweep according to described cell Whether the checked result of data, judge described cell as doubtful problem cells.

7. system according to claim 6 is it is characterised in that described ray model correction module includes:

Towards scene select unit, for select in existing network environment corresponding with described cell towards scene；

Direct projection coefficient correction unit, for correcting in rsrp formula according to the described measured data towards scene Direct projection coefficient；

Reflection coefficient corrects unit, for correcting described rsrp according to the described described measured data towards scene Reflection coefficient in formula；

Diffraction coefficient corrects unit, for correcting described rsrp according to the described described measured data towards scene Diffraction coefficient in formula.

8. system according to claim 7 is it is characterised in that described verification data module includes:

Emulation rsrp data cell, for according to predetermined precision by described cell simulated environment rasterizing, And the described cell emulation rsrp data of each grid is calculated using described rsrp formula；

Rsrp frequency sweep data cell, obtains for carrying out on-the-spot test to each grid described in described cell The rsrp frequency sweep data described in one group of each grid described；

Mean error unit, for calculating the described cell emulation rsrp data of each grid described and described The mean error of the meansigma methodss of described one group of rsrp frequency sweep data of each grid；

Standard variance unit, for calculating the standard of described one group of rsrp frequency sweep data of each grid described Variance.

9. system according to claim 8 it is characterised in that described problem cells output module according to Described cell emulates the checked result of rsrp data and described rsrp frequency sweep data, judges that described cell is No include for doubtful problem cells:

When the described cell emulation rsrp data of all grids of described cell simulated environment and described rsrp sweep The meansigma methodss of mean error between frequency evidence, the described rsrp of all grids of described cell simulated environment sweep When the meansigma methodss of the standard variance of frequency evidence respectively reach the first judging threshold and the second judging threshold, really Recognizing described cell is described doubtful problem cells.