CN110488101A - A kind of antenna radiation performance analysis method, device and computer readable storage medium - Google Patents
A kind of antenna radiation performance analysis method, device and computer readable storage medium Download PDFInfo
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- CN110488101A CN110488101A CN201910791560.6A CN201910791560A CN110488101A CN 110488101 A CN110488101 A CN 110488101A CN 201910791560 A CN201910791560 A CN 201910791560A CN 110488101 A CN110488101 A CN 110488101A
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01R29/08—Measuring electromagnetic field characteristics
- G01R29/0864—Measuring electromagnetic field characteristics characterised by constructional or functional features
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
- G01R29/08—Measuring electromagnetic field characteristics
- G01R29/10—Radiation diagrams of antennas
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The embodiment of the present application discloses a kind of antenna radiation performance analysis method, the antenna weights including obtaining target network；According to the antenna weights, the antenna radiation pattern of the corresponding antenna weights of reconstruct；According to preset matching algorithm, the antenna radiation pattern is matched with the standard drawing in antenna features library, calculates corresponding matching degree；If the matching degree is greater than preset value, determine that the antenna weights setting of the target network is reasonable.A kind of antenna radiation performance analysis method provided by the embodiments of the present application solves the technical issues of there is presently no a kind of methods of simple, efficient, intuitive analysis antenna radiation performance.The embodiment of the present application also provides a kind of antenna radiation performance analytical equipment and computer readable storage mediums.
Description
Technical field
This application involves intelligent antenna technology field more particularly to a kind of antenna radiation performance analysis methods, device and meter
Calculation machine readable storage medium storing program for executing.
Background technique
Smart antenna optimizes the covering of 5G wireless network by broadcast wave bean shaping technology, and modification broadcast beam weight can be with
The wave beam forming of optimizing broadcasting beam matches broadcast beam directional diagram more with the practical coverage condition of cell.Broadcast beam
Weighting parameter has decisive role to broadcast wave bean shaping, be such as arranged it is improper by directly influence 5G user covering (RSRP),
Signal-to-noise ratio (SINR), downloading rate etc. perceive index.
Currently, the analysis for 5G antenna radiation performance, mainly there is the means such as MRO analysis, OSS statistical analysis.Wherein,
MRO analysis is mainly according to the received signal code power of the main carrier RSRP of 5G serving cell and the defined neighboring BS relationship of 5G and not
The received signal code power for defining the main carrier RSRP of neighboring BS relationship cell calculates small area overlapping cover index, and the index is for retouching
The degree that strong signal adjacent area is superimposed in certain cell coverage area is stated, to analyze the radiance of 5G antenna.And OSS statistical
Analysis is to analyze to the KPI such as handover failure (Key Performance Indication) index, to be easy to send out
Certain existing cell intersects with the covering between peripheral cell, edge covering etc. is true, achievees the purpose that analyze antenna radiation performance.
But the two kinds of above analysis methods all have obvious disadvantage.MRO is analyzed, since the miss rate of MR data is tight
Weight, sampling difficulty and sampling human cost are high, and most of MR data lose deflection and the TA time difference two important acquisition letters
Breath, therefore each sampled point can not be accurately positioned, further, lead to not to overlapping covered progress depth point
Analysis.OSS is statisticallyd analyze, is by the covering relation and handoff relation between analysis eNodeB, this may be considered one kind
Subsequent analysis can just find the problem after KPI extreme degradation or customer complaint and attempt to solve the problems, such as, daily KPI monitoring
Hardly notice slight KPI problem, it is also difficult to notice that the user that slight KPI problem is hidden behind perceives KQI (Key
QualityIndicators) problem.Meanwhile the low-level details information that ex-post analysis also causes KPI to deteriorate is difficult to recall, seriously
Influence the effect of KPI analysis and optimization.
Therefore, there is presently no a kind of methods of simple, efficient, intuitive analysis antenna radiation performance.
Summary of the invention
The embodiment of the present application provides a kind of antenna radiation performance analysis method, device and computer readable storage medium,
Solves the technical issues of there is presently no a kind of methods of simple, efficient, intuitive analysis antenna radiation performance.
In view of this, the application first aspect provides a kind of antenna radiation performance analysis method, comprising:
Obtain the antenna weights of target network；
According to the antenna weights, the antenna radiation pattern of the corresponding antenna weights of reconstruct；
According to preset matching algorithm, the antenna radiation pattern is matched with the standard drawing in antenna features library, is calculated
Corresponding matching degree；
If the matching degree is greater than preset value, determine that the antenna weights setting of the target network is reasonable.
Preferably, described according to the antenna weights, the antenna radiation pattern of the corresponding antenna weights of reconstruct also wraps later
It includes:
Edge extracting is carried out to the antenna radiation pattern and obtains the linear edge figure of the antenna radiation pattern；
It is described to be matched the antenna radiation pattern with the standard drawing in antenna features library according to preset matching algorithm,
Corresponding matching degree is calculated to specifically include:
According to preset matching algorithm, the linear edge figure is matched with the standard edge figure in antenna features library,
Calculate corresponding matching degree.
Preferably, the standard edge figure of the antenna features library storage specifically includes: 33 ° of half-power angle standard edges
Figure and 65 ° of half-power angle standard edge figures.
Preferably, described that the linear edge figure of the antenna radiation pattern is obtained to antenna radiation pattern progress edge extracting
It specifically includes:
Edge extracting is carried out to the antenna radiation pattern using Canny algorithm and obtains the linear edge of the antenna radiation pattern
Figure.
Preferably, described that the antenna direction is obtained to antenna radiation pattern progress edge extracting using Canny algorithm
The linear edge figure of figure specifically includes:
The antenna radiation pattern is smoothed by Gaussian filter；
By the gradient magnitude of the antenna radiation pattern of the finite difference formulations of single order local derviation after smoothing processing and
Gradient direction；
The calculated gradient direction carries out non-maxima suppression to the gradient magnitude；
Edge is detected and connected by dual threashold value-based algorithm, obtains the linear edge figure of the antenna radiation pattern.
Preferably, described according to preset matching algorithm, by the standard drawing in the antenna radiation pattern and antenna features library into
Row matching, calculates corresponding matching degree and specifically includes:
According to the image fuzzy matching algorithm based on image array, by the mark in the antenna radiation pattern and antenna features library
Quasi- figure is matched, and corresponding matching degree is calculated.
Preferably, image fuzzy matching algorithm of the basis based on image array, by the antenna radiation pattern and antenna
Standard drawing in feature database is matched, and is calculated corresponding matching degree and is specifically included:
Construct the first iamge description matrix of the antenna radiation pattern and the second iamge description matrix of the standard drawing；
According to default subordinating degree function, calculates the first image Description Matrix and the radial of the second iamge description matrix is subordinate to
Category degree and angular degree of membership；
The average value for calculating the radial degree of membership and the angular degree of membership, obtains matching degree.
Preferably, described according to the antenna weights, the antenna radiation pattern of the corresponding antenna weights of reconstruct specifically includes:
According to the antenna weights, the electric field intensity of each array antenna is calculated；
The electric field intensity for each array antenna being calculated is overlapped, total electric field vector is obtained；
According to the total electric field vector, the antenna radiation pattern of the corresponding antenna weights of reconstruct.
The application second aspect provides a kind of antenna radiation performance analytical equipment, comprising:
Acquiring unit, for obtaining the antenna weights of target network；
Reconfiguration unit, for according to the antenna weights, the antenna radiation pattern of the corresponding antenna weights of reconstruct；
Matching unit is used for according to preset matching algorithm, by the standard drawing in the antenna radiation pattern and antenna features library
It is matched, calculates corresponding matching degree；
Unit is chosen, is used for, if the matching degree is greater than preset value, determines that the antenna weights setting of the target network is closed
Reason.
The application third aspect provides a kind of computer readable storage medium, and the computer readable storage medium is for depositing
Program code is stored up, said program code is used to execute any antenna radiation performance analysis method that above-mentioned first aspect provides.
As can be seen from the above technical solutions, the embodiment of the present application has the advantage that
In the embodiment of the present application, a kind of antenna radiation performance analysis method is provided, the antenna including obtaining target network
Weight；According to the antenna weights, the antenna radiation pattern of the corresponding antenna weights of reconstruct；According to preset matching algorithm, by institute
It states antenna radiation pattern to be matched with the standard drawing in antenna features library, calculates corresponding matching degree；If the matching degree is greater than
Preset value determines that the antenna weights setting of the target network is reasonable.
Antenna radiation performance analysis method provided by the embodiments of the present application is reconstructed according to the antenna weights of target network
Corresponding antenna radiation pattern, then will can be characterized in the antenna radiation pattern reconstructed and antenna features library by preset matching algorithm
Radiance preferably standard drawing is matched, and a matching degree is obtained, can if matching degree is greater than preset threshold matching degree
To think that antenna radiation performance is good, the antenna weights setting of target network is reasonable, otherwise it is assumed that antenna radiation performance exists not
Rationally place carries out judge analysis to antenna radiation performance to realize.
Detailed description of the invention
Fig. 1 is a kind of flow chart for antenna radiation performance analysis method that the application one embodiment provides；
Fig. 2 is the emulation schematic diagram provided by the embodiments of the present application that expectation radiation waveform is exported according to the weight of input；
Fig. 3 is a kind of flow chart for antenna radiation performance analysis method that second embodiment of the application provides；
The setting schematic diagram of four array antennas in the example that Fig. 4 provides for second embodiment of the application；
The specific setting Parameter Map of intelligent antenna weight value in the example that Fig. 5 provides for second embodiment of the application；
Fig. 6 is the first antenna directional diagram of setting parameter shown in corresponding diagram 5；
Fig. 7 is the second antenna radiation pattern of setting parameter shown in corresponding diagram 5；
Fig. 8 is the sector mark figure that second embodiment of the application provides；
Fig. 9 is 33 ° of half-power angle antenna radiation patterns provided by the embodiments of the present application.
Figure 10 is 33 ° of half-power angle standard edge figures of corresponding diagram 9；
Figure 11 is 65 ° of half-power angle antenna radiation patterns provided by the embodiments of the present application；
Figure 12 is 65 ° of half-power angle standard edge figures of corresponding diagram 11；
Figure 13 is a kind of structural schematic diagram for antenna radiation performance analytical equipment that the application third embodiment provides.
Specific embodiment
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only this
Apply for a part of the embodiment, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art exist
Every other embodiment obtained under the premise of creative work is not made, shall fall in the protection scope of this application.
The embodiment of the present application provides a kind of antenna radiation performance analysis method, can it is intuitive, effectively to aerial radiation
Performance it is excellent whether judged, compared to MRO analysis with OSS statistical analysis for, it is simple and efficient.
Referring to Figure 1, Fig. 1 is a kind of process for antenna radiation performance analysis method that the application one embodiment provides
Figure, this method comprises:
Step 101, the antenna weights for obtaining target network.
Broadcast beam weight parameter has decisive role to broadcast wave bean shaping, may refer to Fig. 2, and Fig. 2 is according to input
Weight output expectation radiation waveform emulation schematic diagram.It, can be by inputting weight range value respectively in 8 ports in Fig. 2
And phase value, so that smart antenna exports desired radiation waveform.Therefore, it can be reconstructed according to the antenna weights of target network
The antenna radiation pattern of the corresponding antenna weights, but firstly, it is necessary to get the antenna weights of target network.
The antenna weights that step 102, basis are got reconstruct the antenna radiation pattern of the corresponding antenna weights.
In specific reconstruct, electromagnetic field principle of stacking can use, explanation is specifically unfolded in subsequent embodiment.
Step 103, according to preset matching algorithm, by the standard drawing in the antenna radiation pattern reconstructed and antenna features library into
Row matching, calculates corresponding matching degree.
Antenna features library is a picture library pre-established provided in this embodiment, wherein be stored with can characterize it is more excellent
The standard drawing of radiance therefore, can be to the day of target network by matching the antenna radiation pattern reconstructed therewith
Beta radiation performance is judged.
It should be noted that the standard drawing stored in antenna features library can be standard antenna directional diagram, in this way, can be straight
The antenna radiation pattern that will be reconstructed is connect to match with standard antenna directional diagram.But in order to make matching result according to close to true feelings
Condition, the standard drawing stored in antenna features library can also be standard edge figure, specifically be unfolded in subsequent embodiment.
In specific matching, the calculating of matched method and matching degree is related with preset matching algorithm, can carry out
The matching algorithm of image has very much, in the present embodiment, can voluntarily select, repeat no more according to demand.
If step 104, matching degree are greater than preset value, determine that the antenna weights setting of target network is reasonable.
Preset value can summarize according to simulation result and obtain, if matching degree is greater than preset value, it may be considered that antenna
Radiance is good, and the antenna weights setting of target network is reasonable, otherwise it is assumed that there are unreasonable places for antenna radiation performance.
A kind of antenna radiation performance analysis method is present embodiments provided to be reconstructed according to the antenna weights of target network
Corresponding antenna radiation pattern, then will can be characterized in the antenna radiation pattern reconstructed and antenna features library by preset matching algorithm
Radiance preferably standard drawing is matched, and a matching degree is obtained, can if matching degree is greater than preset threshold matching degree
To think that antenna radiation performance is good, the antenna weights setting of target network is reasonable, otherwise it is assumed that antenna radiation performance exists not
Rationally place realizes the judge analysis to antenna radiation performance.
The above are the application one embodiment provide a kind of antenna radiation performance analysis method detailed description, below
Fig. 3 can be participated in, Fig. 3 is a kind of flow chart for antenna radiation performance analysis method that second embodiment of the application provides, should
Method includes:
Step 301, the antenna weights for obtaining target network.
The step is identical as the step 101 in upper one embodiment, repeats no more.
The antenna weights that step 302, basis are got, calculate the electric field intensity of each array antenna.
The electric field intensity for each array antenna being calculated is overlapped by step 303, obtains total electric field vector.
Step 304, the total electric field vector obtained according to superposition, the antenna radiation pattern of the corresponding above-mentioned antenna weights of reconstruct.
Step 302 is mentioned according to the specific steps of antenna weights reconfigurable antenna directional diagram for convenience of understanding below to 304
For a specific example, Fig. 4 can be referred to, Fig. 4 is four array antennas in example that second embodiment of the application provides
Schematic diagram is set.
In Fig. 4, there is 1,2,3,4 four array antenna, each array antenna there are several radiating elements, between array antenna
Between be divided into d, azimuth α.The distance of the center of each array antenna to point of observation is that respectively r1, r2, r3, r4, each array swash
Encouraging power is respectively m1, m2, m3, m4, and excitation initial phase is respectively Φ 1, Φ 2, Φ 3, Φ 4.
Total electric field vector E is suitable for electromagnetic field principle of stacking:
E=E1+E2+E3+E4；
E1=e1F1m1exp (j Φ 1) * exp (jkrl)；
E2=e2F2m2exp (jkdcos α+Φ 2) * exp (jkrl)；
E3=e3F3m3exp (jk2dcos α+Φ 3) * exp (jkr1)；
E4=e4F4m4exp (jk3dcos α+Φ 4) * exp (jkr1).
Above-mentioned formula, e1, e2, e3, e4 are respectively the unit electric field vector of corresponding array antenna, F1, F2, F3, F4 difference
For array plural number side figure, m1, m2, m3, m4 are respectively the range value of the weight of each array antenna, and Φ 1, Φ 2, Φ 3, Φ 4 distinguish
For the phase value of the weight of each array antenna, the specific setting of intelligent antenna weight value can refer to Fig. 5, the antenna of the corresponding setting
Directional diagram can refer to Fig. 6, Fig. 7.
Step 305 carries out edge extracting to the antenna radiation pattern that reconstruct obtains, and obtains the linear edge of the antenna radiation pattern
Figure.
Edge extracting is carried out to antenna radiation pattern, can be by external disturbance Information Filtration useless in antenna radiation pattern, it will
Inherent feature is captured and is amplified, to promote the authenticity of subsequent match result.
There are many kinds of the methods of edge extracting, and there are commonly Sobel, Laplacian, Canny etc..In the present embodiment,
Canny algorithm has been used to carry out edge extracting to antenna radiation pattern.
The concrete application of Canny algorithm is as follows:
Step1: Gaussian filter smoothing image is used
G (x, y)=f (x, y) * H (x, y)
Step2: amplitude and the direction of gradient are calculated with the finite difference of single order local derviation
Step3: non-maxima suppression is carried out to gradient magnitude
It only obtains global gradient and is not sufficient to determine edge, therefore to determine edge, it is necessary to retain partial gradient most
Big point, and inhibit non-maximum.(non-maxima suppression, NMS)
Solution: the direction (non-maxima suppression) of gradient is utilized.
Can refer to Fig. 8, four sectors marked as 0 to 3, four kinds of corresponding 3*3 neighborhood may combination.
To a point, the center pixel M of neighborhood is compared with along the two of gradient line pixel.If the gradient value of M is not
It is bigger than two adjacent image point gradient values along gradient line, then enable M=0.That is:
N [i, j]=NMS (M [i, j], ξ [i, j])
Step4: edge is detected and connected with dual threashold value-based algorithm
(1) signal-to-noise ratio (SNR) Criterion
Wherein: f (x) is the impulse response that boundary is [- w, w] filter.G (x) represents edge, n0It is the equal of Gaussian noise
Root.
(2) positioning accuracy criterion
Wherein G ' (- x), f ' (x) are G (- x), the first derivative of f (x) respectively
(3) single edges response criteria
It is required that f is x between distance two adjacent maximas in the response of noisemax(f), f zero cross point average distance is x,
Both sides relation is: xmax(f)=2x2c- kW, wherein k is the coefficient less than 1,
Step 306, according to the image fuzzy matching algorithm based on image array, will be in linear edge figure and antenna features library
Standard edge figure matched, calculate corresponding matching degree.
In the present embodiment, since antenna radiation pattern have passed through edge extracting processing,, should be by edge in matching
The linear edge figure extracted is matched.And on matching algorithm, the present embodiment has selected the image mould based on image array
Matching algorithm is pasted, practical application effect is best.
Image fuzzy matching algorithm concrete application based on image array is as follows:
Step1: building image Description Matrix (hereinafter referred to as image array) is defined as follows
Sij=S (ri, θj)/|P| (1)
Wherein, S (ri, θj) it is the pixel being distributed in each grid of image array dimension (m, n) division
Number, | | P | | it is the sum of all pixels in whole image region, SijFor the member of iamge description matrix.Therefore, image moment is used
When the image information of battle array description image, the characteristics of image of image can be determined with the comparison between the image array of different images
Between matching relationship.
If SXAnd SYFor the identical image array of dimension, matrix SXAnd SYElement be denoted as respectivelyWith(matrix SXWith
SYTwo set can be regarded as, wherein element is respectivelyWith).It enables
Ambiguity in definition matching relationship R ∈ F (T), F (T) are the set of the fuzzy subset of T.If μR(x, y) ∈ [0,1] is mould
The subordinating degree function (particular content sees below) of matching relationship R is pasted, then a matrix M can be obtained, element is
Indicate two image array SXAnd SYCorresponding elementWithDegree with fuzzy matching relationship R.Work asWhen, indicate elementWithThere is fuzzy matching relationship completely；And work as
When, then it represents that elementWithDo not have fuzzy matching relationship R completely；WhenTake certain between 0 and 1
When a numerical value r, element is indicatedWithDegree with fuzzy matching relationship is r.
Step2: definition vector, radial degree of membership, angular degree of membership
Definition vector
And then define radial degree of membership frWith angular degree of membership fa
fr=min { Mr, fa=min { Ma} (5)
Radial degree of membership frWith angular degree of membership faRespectively vector MrWith MaThe value of middle least member, respectively indicates image
Matrix SXWith SYRadially and angularly with the degree of fuzzy matching relationship R.
To determine whether two image arrays match, radial degree of membership f can be defined respectivelyrAnd angular degree of membership faThreshold value ar
With aa, for image array SXWith SY, work as fr≥arAnd fa≥aaWhen, claim SXWith SYWith fuzzy matching relationship, that is, match；Otherwise,
Claim SXWith SYWithout fuzzy matching relationship R, that is, mismatch.
Step3: building membership function calculates degree of membership
By image array definition it is found that the value range of its element should be [0,1).Based on Gauss π membership function, structure
The membership function mui for determining image matrix element fuzzy matching relationship is madeR(x, y), i.e.,
Wherein e is the bottom of natural logrithm.To matrix SXWith SYArbitrary elementWith(being computed) has
As it can be seen that working asWhen,WhenWhen,Above-mentioned (6)
The membership function that formula defines is the deformation of Gauss π membership function, to calculate the fuzzy matching relationship between image matrix element.
Finally, calculating matching value, it is right to find out Average Quasi
Degree of fitting can be defined as the average value of direction degree of membership and angle degree of membership.If actual emanations reconstruct image and certain class
The matching degree of base image is lower than some threshold value, then it is abnormal to judge that antenna radiation performance occurs.
The above are to the detailed of the image fuzzy matching algorithm concrete application used in the present embodiment based on image array
Explanation.
You need to add is that standard edge figure, the standard of storage are stored in antenna features library in advance in the present embodiment
Edge graph specifically includes: 33 ° of half-power angle standard edge figures and 65 ° of half-power angle standard edge figures, can be with reference to Fig. 9 to figure
12, wherein Fig. 9 is 33 ° of half-power angle antenna radiation patterns provided by the embodiments of the present application, and Figure 10 is 33 ° of half-powers of corresponding diagram 9
Footmark prospective edge figure, Figure 11 are 65 ° of half-power angle antenna radiation patterns provided by the embodiments of the present application, and Figure 12 is corresponding diagram 11
65 ° of half-power angle standard edge figures.
Standard edge figure may be considered reference direction figure and obtain after edge extracting, can with target network
The linear edge figure that is obtained through edge extracting of antenna radiation pattern matched.
If step 307, the matching degree being calculated are greater than preset value, determine that the antenna weights setting of target network is reasonable.
A kind of antenna radiation performance analysis method is present embodiments provided to be reconstructed according to the antenna weights of target network
Corresponding antenna radiation pattern, to the antenna radiation pattern reconstructed using Canny algorithm carry out edge detection extraction, amplification characteristic,
Useless interference information is filtered off, then by the image fuzzy matching algorithm based on image array, the linear edge that edge extracting is gone out
Figure with can characterize radiance preferably standard edge figure in antenna features library and matched, obtain closer truth
Matching degree, if matching degree is greater than preset threshold matching degree, it may be considered that antenna radiation performance is good, the antenna of target network
Weight setting is reasonable, otherwise it is assumed that there are unreasonable places for antenna radiation performance, to realize the judge to antenna radiation performance
Analysis.
The above are second embodiment of the application provide a kind of antenna radiation performance analysis method detailed description, below
Figure 13 can be participated in, Figure 13 is a kind of structural representation for antenna radiation performance analytical equipment that the application third embodiment provides
Figure, the device include:
Acquiring unit 1301, for obtaining the antenna weights of target network；
Reconfiguration unit 1302, for according to the antenna weights, the antenna radiation pattern of the corresponding antenna weights of reconstruct；
Matching unit 1303 is used for according to preset matching algorithm, by the mark in the antenna radiation pattern and antenna features library
Quasi- figure is matched, and corresponding matching degree is calculated；
Unit 1304 is chosen, is used for, if the matching degree is greater than preset value, determines that the antenna weights of the target network are set
It sets rationally.
It is apparent to those skilled in the art that for convenience and simplicity of description, the device of foregoing description
It with the specific work process of unit, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
A kind of antenna radiation performance analytical equipment is present embodiments provided to be reconstructed according to the antenna weights of target network
Corresponding antenna radiation pattern, then will can be characterized in the antenna radiation pattern reconstructed and antenna features library by preset matching algorithm
Radiance preferably standard drawing is matched, and a matching degree is obtained, can if matching degree is greater than preset threshold matching degree
To think that antenna radiation performance is good, the antenna weights setting of target network is reasonable, otherwise it is assumed that antenna radiation performance exists not
Rationally place realizes the judge analysis to antenna radiation performance.
The embodiment of the present application also provides a kind of computer readable storage medium, for storing program code, the program code
For executing any one embodiment in a kind of antenna radiation performance analysis method described in foregoing individual embodiments.
The description of the present application and term " first " in above-mentioned attached drawing, " second ", " third ", " the 4th " etc. are (if deposited
) it is to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that use in this way
Data are interchangeable under appropriate circumstances, so that embodiments herein described herein for example can be in addition to illustrating herein
Or the sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that
Cover it is non-exclusive include, for example, containing the process, method, system, product or equipment of a series of steps or units need not limit
In step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, produce
The other step or units of product or equipment inherently.
It should be appreciated that in this application, " at least one (item) " refers to one or more, and " multiple " refer to two or two
More than a."and/or" indicates may exist three kinds of relationships, for example, " A and/or B " for describing the incidence relation of affiliated partner
It can indicate: only exist A, only exist B and exist simultaneously tri- kinds of situations of A and B, wherein A, B can be odd number or plural number.Word
Symbol "/" typicallys represent the relationship that forward-backward correlation object is a kind of "or"." at least one of following (a) " or its similar expression, refers to
Any combination in these, any combination including individual event (a) or complex item (a).At least one of for example, in a, b or c
(a) can indicate: a, b, c, " a and b ", " a and c ", " b and c ", or " a and b and c ", and wherein a, b, c can be individually, can also
To be multiple.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the unit, only
Only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can be tied
Another system is closed or is desirably integrated into, or some features can be ignored or not executed.Another point, it is shown or discussed
Mutual coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or logical of device or unit
Letter connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, the technical solution of the application is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the application
Portion or part steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (full name in English: Read-Only
Memory, english abbreviation: ROM), random access memory (full name in English: Random Access Memory, english abbreviation:
RAM), the various media that can store program code such as magnetic or disk.
The above, above embodiments are only to illustrate the technical solution of the application, rather than its limitations；Although referring to before
Embodiment is stated the application is described in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of antenna radiation performance analysis method characterized by comprising
Obtain the antenna weights of target network；
According to the antenna weights, the antenna radiation pattern of the corresponding antenna weights of reconstruct；
According to preset matching algorithm, the antenna radiation pattern is matched with the standard drawing in antenna features library, calculates and correspond to
Matching degree；
If the matching degree is greater than preset value, determine that the antenna weights setting of the target network is reasonable.
2. a kind of antenna radiation performance analysis method according to claim 1, which is characterized in that described according to the antenna
Weight, reconstruct correspond to after the antenna radiation pattern of the antenna weights further include:
Edge extracting is carried out to the antenna radiation pattern and obtains the linear edge figure of the antenna radiation pattern；
It is described to be matched the antenna radiation pattern with the standard drawing in antenna features library according to preset matching algorithm, it calculates
Corresponding matching degree specifically includes:
According to preset matching algorithm, the linear edge figure is matched with the standard edge figure in antenna features library, is calculated
Corresponding matching degree.
3. a kind of antenna radiation performance analysis method according to claim 2, which is characterized in that the antenna features inventory
The standard edge figure of storage specifically includes: 33 ° of half-power angle standard edge figures and 65 ° of half-power angle standard edge figures.
4. a kind of antenna radiation performance analysis method according to claim 2, which is characterized in that described to the antenna side
The linear edge figure for obtaining the antenna radiation pattern to figure progress edge extracting specifically includes:
Edge extracting is carried out to the antenna radiation pattern using Canny algorithm and obtains the linear edge figure of the antenna radiation pattern.
5. a kind of antenna radiation performance analysis method according to claim 4, which is characterized in that described to be calculated using Canny
The linear edge figure that method obtains the antenna radiation pattern to antenna radiation pattern progress edge extracting specifically includes:
The antenna radiation pattern is smoothed by Gaussian filter；
Pass through the gradient magnitude and gradient of the antenna radiation pattern of the finite difference formulations of single order local derviation after smoothing processing
Direction；
The calculated gradient direction carries out non-maxima suppression to the gradient magnitude；
Edge is detected and connected by dual threashold value-based algorithm, obtains the linear edge figure of the antenna radiation pattern.
6. a kind of antenna radiation performance analysis method according to claim 1, which is characterized in that described according to preset matching
The antenna radiation pattern is matched with the standard drawing in antenna features library, calculates corresponding matching degree and specifically include by algorithm:
According to the image fuzzy matching algorithm based on image array, by the standard drawing in the antenna radiation pattern and antenna features library
It is matched, calculates corresponding matching degree.
7. a kind of antenna radiation performance analysis method according to claim 6, which is characterized in that the basis is based on image
The image fuzzy matching algorithm of matrix matches the antenna radiation pattern with the standard drawing in antenna features library, calculating pair
The matching degree answered specifically includes:
Construct the first iamge description matrix of the antenna radiation pattern and the second iamge description matrix of the standard drawing；
According to default subordinating degree function, the radial degree of membership of the first image Description Matrix and the second iamge description matrix is calculated
With angular degree of membership；
The average value for calculating the radial degree of membership and the angular degree of membership, obtains matching degree.
8. a kind of antenna radiation performance analysis method according to claim 1, which is characterized in that described according to the antenna
The antenna radiation pattern of weight, the corresponding antenna weights of reconstruct specifically includes:
According to the antenna weights, the electric field intensity of each array antenna is calculated；
The electric field intensity for each array antenna being calculated is overlapped, total electric field vector is obtained；
According to the total electric field vector, the antenna radiation pattern of the corresponding antenna weights of reconstruct.
9. a kind of antenna radiation performance analytical equipment characterized by comprising
Acquiring unit, for obtaining the antenna weights of target network；
Reconfiguration unit, for according to the antenna weights, the antenna radiation pattern of the corresponding antenna weights of reconstruct；
Matching unit, for according to preset matching algorithm, the standard drawing in the antenna radiation pattern and antenna features library to be carried out
Matching, calculates corresponding matching degree；
Unit is chosen, is used for, if the matching degree is greater than preset value, determines that the antenna weights setting of the target network is reasonable.
10. a kind of computer readable storage medium, which is characterized in that the computer readable storage medium is for storing program generation
Code, said program code require the described in any item antenna radiation performance analysis methods of 1-8 for perform claim.
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