CN109343062A - A kind of recognition methods and system of diametral interference echo and precipitation echo - Google Patents
A kind of recognition methods and system of diametral interference echo and precipitation echo Download PDFInfo
- Publication number
- CN109343062A CN109343062A CN201811526005.2A CN201811526005A CN109343062A CN 109343062 A CN109343062 A CN 109343062A CN 201811526005 A CN201811526005 A CN 201811526005A CN 109343062 A CN109343062 A CN 109343062A
- Authority
- CN
- China
- Prior art keywords
- echo
- precipitation
- data
- diametral interference
- sweeps
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/36—Means for anti-jamming, e.g. ECCM, i.e. electronic counter-counter measures
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The present invention relates to the recognition methods and system of a kind of diametral interference echo and precipitation echo, wherein, the recognition methods of diametral interference echo and precipitation echo, comprising the following steps: the first diametral interference echo body of acquisition sweeps data and the first precipitation echo body sweeps data as staqtistical data base；Compare that the first diametral interference echo body sweeps data and the first precipitation echo body data of sweeping determines difference characteristic parameter；Membership function, and the fuzzy value to the processing of difference characteristic parameter fuzzy between 0-1 are constructed according to difference characteristic parameter and staqtistical data base；Assign fuzzy value to corresponding weight value, and weighted accumulation obtains criterion；It is diametral interference echo when criterion value is greater than preset threshold according to criterion compared with preset threshold.In the inventive solutions, the interference echo of single radial, narrow radial direction and large area radial direction can be eliminated, while reducing the influence to precipitation echo.
Description
Technical field
The present invention relates to meteorological data monitoring management fields, relate generally to the knowledge of a kind of diametral interference echo and precipitation echo
Other method and a kind of identifying system of diametral interference echo and precipitation echo.
Background technique
Diametral interference echo is a kind of common non-radar observation echo.This kind of echo Producing reason may be by the external world
Caused by co-channel interference, internal signal processing exception or the radar antenna alignment sun, it is mainly shown as radially vertically hung scroll
Shape distribution, as shown in Figure 1.Single radial, narrow radial direction and radial 3 classes of large area can be divided into from the continuous angle N in orientation, such as table 1
It is shown.
Due to the development in city, China's electromagnetic environment is increasingly complicated, and diametral interference echo, which becomes, influences weather radar radix
One of an important factor for according to quality, and all afterproducts of weather radar are built upon on the basis of base data, therefore, are eliminated
Diametral interference echo promotes Radar Data quality, obtains the base data and afterproduct of high quality, give full play to it in reality
Application in the business of border is necessary.
Currently, have filter method, interpolation method, image method, a power method for the identification removing method of diametral interference echo, and industry
In business is the combination of image method and power method.It is found in assessment early period, the method in business can only eliminate single diameter
To with narrow radial interference echo, the diametral interference echo of large area can not be eliminated substantially, and can accidentally disappear to precipitation echo
It removes.
Summary of the invention
The present invention is directed to solve at least one of the technical problems existing in the prior art or related technologies.
For this purpose, it is an object of the present invention to provide the recognition methods of a kind of diametral interference echo and precipitation echo,
The interference echo of single radial, narrow radial direction and large area radial direction can be eliminated, while reducing the influence to precipitation echo.
It is another object of the present invention to provide the identifying systems of a kind of diametral interference echo and precipitation echo, can
Diametral interference echo is eliminated, Radar Data quality is promoted, obtains the base data and afterproduct of high quality, give full play to it
Application in practical business.
To achieve the above object, the technical solution of first aspect present invention provides a kind of diametral interference echo and precipitation returns
The recognition methods of wave, comprising the following steps: the first diametral interference echo body of acquisition sweeps data and the first precipitation echo body sweeps data
As staqtistical data base；Compare that the first diametral interference echo body sweeps data and the first precipitation echo body data of sweeping determines difference characteristic
Parameter；Construct membership function according to difference characteristic parameter and staqtistical data base, and to the processing of difference characteristic parameter fuzzy be 0-1 it
Between fuzzy value；Assign fuzzy value to corresponding weight value, and weighted accumulation obtains criterion；According to criterion compared with preset threshold, when
It is diametral interference echo when criterion value is greater than preset threshold.
In the technical scheme, the physical parameter of diametral interference echo character is able to reflect by extracting, according to radial dry
The probability distribution for disturbing echo character parameter establishes corresponding membership function, carries out Fuzzy processing to these characteristic parameters, obtains
All characteristic parameters for the 0-1 value criterion of different type echo, then these criterion values are weighted it is cumulative, when certain point
Criterion value when being more than threshold value given in advance, which is just judged as diametral interference echo and rejects；It is radial dry by analysis
The characteristics of disturbing the feature difference of echo and precipitation echo, integrating existing method forms the diametral interference echo based on fuzzy logic
Recognizer so as to eliminate the interference echo of single radial, narrow radial direction and large area radial direction, while being reduced to precipitation echo
Influence.
In the above-mentioned technical solutions, it is preferable that further include: it obtains the second diametral interference echo body and sweeps data and the second precipitation
Echo body sweeps data as validation database；The accuracy rate and False Rate of criterion are verified according to validation database.
In the technical scheme, by verifying the criterion of formation in identification diameter using validation database as consulting database
To the accuracy rate and False Rate of interference echo, to allow users to the validity for promptly and accurately understanding this method, can have
It is adjusted accordingly in the case that effect property is not high, and then improves the recognition effect of diametral interference echo.
In any of the above-described technical solution, it is preferable that the first diametral interference echo body sweeps data, the first precipitation echo body is swept
Data, the second diametral interference echo body sweep data and the second precipitation echo body sweeps data and sweeps data for same weather radar body.
In any of the above-described technical solution, it is preferable that the first precipitation echo body sweeps data and the second precipitation echo body sweeps money
Material is that Convective Cloud Precipitation Echoes body sweeps data and Stratiform Cloud Precipitation echo body sweeps at least one of data.
In any of the above-described technical solution, it is preferable that it is one that staqtistical data base and validation database, which are azimuth-range library,
Unit.
In any of the above-described technical solution, it is preferable that difference characteristic parameter includes:
Echo strength is in ductility currently radially:
Wherein,
The consistency of current diameter echo power forwards, backwards:
Wherein, dBI, j=ZI, j-20logRI, j-0.0011*RI, j,
Consistency before and after local echo intensity:
Wherein, (i, j) is the coordinate value of range bin, ZI, jFor the echo strength of range bin, NRFor effective spy of echo strength
Range bin number is surveyed, Val is effective probe value, Ri,jFor at a distance from radar center, 0.0011 is attenuation coefficient；
The expression formula of membership function are as follows:
Y is membership function value, and x is some range bin difference characteristic parameter RREF、dZi,j、TDBZValue, para [0], para
[1], para [2] is according to difference characteristic parameter RREF、dZi,j、TDBZ3 preset thresholds that probability distribution determines.
The technical solution of second aspect of the present invention provides the identifying system of a kind of diametral interference echo and precipitation echo, packet
The first acquisition module is included, is arranged to be used for obtaining the first diametral interference echo body and sweeps data and the first precipitation echo body sweeps data
As staqtistical data base；Contrast module is arranged to be used for the first diametral interference echo body of comparison and sweeps data and the first precipitation time
The wave body data of sweeping determines difference characteristic parameter；Control module is arranged to be used for according to difference characteristic parameter and staqtistical data base
Construct membership function, and the fuzzy value to the processing of difference characteristic parameter fuzzy between 0-1；Computing module is arranged to be used for
Assign fuzzy value to corresponding weight value, and weighted accumulation obtains criterion；Comparison module is arranged to be used for according to criterion and default threshold
Value compares, and is diametral interference echo when criterion value is greater than preset threshold.
In the technical scheme, the physical parameter of diametral interference echo character is able to reflect by extracting, according to radial dry
The probability distribution for disturbing echo character parameter establishes corresponding membership function, carries out Fuzzy processing to these characteristic parameters, obtains
All characteristic parameters for the 0-1 value criterion of different type echo, then these criterion values are weighted it is cumulative, when certain point
Criterion value when being more than threshold value given in advance, which is just judged as diametral interference echo and rejects；It is radial dry by analysis
It disturbs the feature difference of echo and precipitation echo, the characteristics of the system of comprehensive existing identification diametral interference echo, is formed based on fuzzy
The diametral interference echo identifying system of logic, so as to eliminate the interference echo of single radial, narrow radial direction and large area radial direction,
The influence to precipitation echo is reduced simultaneously.
In the above-mentioned technical solutions, it is preferable that further include: second obtains module, is arranged to be used for obtaining the second radial direction
Interference echo body sweeps data and the second precipitation echo body sweeps data as validation database；Authentication module is arranged to be used for root
According to the accuracy rate and False Rate of validation database verifying criterion.
In the technical scheme, by verifying the criterion of formation in identification diameter using validation database as consulting database
To the accuracy rate and False Rate of interference echo, to allow users to the validity for promptly and accurately understanding this method, can have
It is adjusted accordingly in the case that effect property is not high, and then improves the recognition effect of diametral interference echo.
In any of the above-described technical solution, it is preferable that the first diametral interference echo body sweeps data, the first precipitation echo body is swept
Data, the second diametral interference echo body sweep data and the second precipitation echo body sweeps data and sweeps data for same weather radar body.
In any of the above-described technical solution, it is preferable that the first precipitation echo body sweeps data and the second precipitation echo body sweeps money
Material is that Convective Cloud Precipitation Echoes body sweeps data and Stratiform Cloud Precipitation echo body sweeps at least one of data.
In any of the above-described technical solution, it is preferable that it is one that staqtistical data base and validation database, which are azimuth-range library,
Unit.
In any of the above-described technical solution, it is preferable that difference characteristic parameter includes:
Echo strength is in ductility currently radially:
Wherein,
The consistency of current diameter echo power forwards, backwards:
Wherein, dBI, j=ZI, j-20logRI, j-0.0011*RI, j,
Consistency before and after local echo intensity:
Wherein, (i, j) is the coordinate value of range bin, ZI, jFor the echo strength of range bin, NRFor effective spy of echo strength
Range bin number is surveyed, Val is effective probe value, Ri,jFor at a distance from radar center, 0.0011 is attenuation coefficient；
The expression formula of membership function are as follows:
Y is membership function value, and x is some range bin difference characteristic parameter RREF、dZi,j、TDBZValue, para [0], para
[1], para [2] is according to difference characteristic parameter RREF、dZi,j、TDBZ3 preset thresholds that probability distribution determines.
Detailed description of the invention
Above-mentioned and/or additional aspect of the invention and advantage will become from the description of the embodiment in conjunction with the following figures
Obviously and it is readily appreciated that, in which:
Fig. 1 shows the process of the recognition methods of diametral interference echo and precipitation echo involved by one embodiment of the invention
Block diagram；
Fig. 2 shows the streams of the recognition methods of diametral interference echo and precipitation echo involved by another embodiment of the present invention
Journey block diagram；
Fig. 3 shows the structure of the identifying system of diametral interference echo and precipitation echo involved by one embodiment of the invention
Block diagram；
Fig. 4 shows the knot of the identifying system of diametral interference echo and precipitation echo involved by another embodiment of the present invention
Structure block diagram；
Fig. 5 shows the probability distribution graph of difference characteristic parameter in the present invention；
Fig. 6 shows the membership function figure of difference characteristic parameter in the present invention；
Fig. 7 shows the probability distribution graph of criterion in the present invention.
Specific embodiment
To better understand the objects, features and advantages of the present invention, with reference to the accompanying drawing and specific real
Applying mode, the present invention is further described in detail.It should be noted that in the absence of conflict, the implementation of the application
Feature in example and embodiment can be combined with each other.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, still, the present invention may be used also
To be implemented using other than the one described here other modes, therefore, protection scope of the present invention is not limited to following public affairs
The limitation for the specific embodiment opened.
The identification side of the diametral interference echo and precipitation echo of some embodiments of the invention is described referring to Fig. 1 to Fig. 7
Method and system.
As shown in Figure 1, according to the diametral interference echo of one embodiment of the invention and the recognition methods of precipitation echo, including
Following steps:
S100, the first diametral interference echo body of acquisition sweeps data and the first precipitation echo body sweeps data as statistical data
Library；
S200, the first diametral interference echo body of comparison sweeps data and the first precipitation echo body data of sweeping determines that difference characteristic is joined
Number；
S300 constructs membership function according to difference characteristic parameter and staqtistical data base, and to difference characteristic parameter fuzzy at
Manage the fuzzy value between 0-1；
S400 assigns fuzzy value to corresponding weight value, and weighted accumulation obtains criterion；
S500, when criterion value is greater than preset threshold, is diametral interference echo according to criterion compared with preset threshold.
In this embodiment, the physical parameter of diametral interference echo character is able to reflect by extracting, according to diametral interference
The probability distribution of echo character parameter establishes corresponding membership function, carries out Fuzzy processing to these characteristic parameters, obtains institute
Have characteristic parameter for the 0-1 value criterion of different type echo, then these criterion values are weighted it is cumulative, when certain point
When criterion value is more than threshold value given in advance, which is just judged as diametral interference echo and rejects；By analyzing diametral interference
The characteristics of feature difference of echo and precipitation echo, comprehensive existing method, forms the diametral interference echo based on fuzzy logic and knows
Other algorithm so as to eliminate the interference echo of single radial, narrow radial direction and large area radial direction, while being reduced to precipitation echo
It influences.
If Fig. 2 shows, according to the diametral interference echo of another embodiment of the present invention and the recognition methods of precipitation echo, also wrap
Include following steps:
S600, the second diametral interference echo body of acquisition sweeps data and the second precipitation echo body sweeps data as verify data
Library；
S700 verifies the accuracy rate and False Rate of criterion according to validation database.
In this embodiment, by the way that using validation database as consulting database, the criterion for verifying formation is radial in identification
The accuracy rate and False Rate of interference echo, so that the validity for promptly and accurately understanding this method is allowed users to, it can be effective
Property it is not high in the case where adjust accordingly, and then improve diametral interference echo recognition effect.
In some embodiments of the invention, the first diametral interference echo body sweeps data, the first precipitation echo body sweeps data,
Second diametral interference echo body sweeps data and the second precipitation echo body sweeps the body that data is same weather radar and sweeps data, Ke Yili
Solution, the body data of sweeping above-mentioned may be that the same year of different weather radar or the body in different years sweep data；First
Precipitation echo body sweeps data and the second precipitation echo body sweeps data and sweeps data and Stratiform Cloud Precipitation time for Convective Cloud Precipitation Echoes body
Wave body sweeps at least one of data；Staqtistical data base and validation database are that azimuth-range library is a unit.
In this embodiment, data is swept by choosing the body in the difference year of same weather radar, such as collected radial dry
It disturbs echo body and sweeps data totally 154, wherein Xi'an (CB) in 2013, Baoji (CB), Shangqiu (SB), Tongliao (CB), Yueyang (SA)
73, Qingpu (SA) in 2014, Beijing (SA), Tanggu (SA), Xi'an (CB), Shijiazhuang (SA), Jinan (SA), Hefei (SA),
Suizhou (SB) 81；Collect Qingpu (SA) in 2014, Beijing (SA), Tanggu (SA), Wuhan (SA), Xi'an (CB), Shijiazhuang
(SA), Cangzhou (SA), Jinan (SA), Hefei (SA), Suizhou (SB) Convective Cloud Precipitation Echoes body sweep data 100, stratiform clouds
Precipitation echo body sweeps data 103.
Wherein diametral interference echo classification is as shown in table 1:
1 diametral interference echo classification of table
Firstly, artificially determine the body data of sweeping, for diametral interference echo, can from the form of echo, radially
Judged with the ductility in orientation；Convective Cloud Precipitation Echoes are irregular block structure, close structure, in echo strength
The heart is generally in 35dBZ or more；The range of Stratiform Cloud Precipitation echo is larger, and unbroken in blocks, intensity is more uniform, and echo strength usually exists
Between 15-35dBZ.Thus the database established includes the staqtistical data base and verifying new algorithm of statistical nature parameter probability distribution
The validation database of discrimination, according to demand, staqtistical data base and validation database are with an azimuth-range library for one
Unit, statistical result are as shown in table 2.
2 staqtistical data base of table and validation database
In any of the above-described embodiment, it is preferable that difference characteristic parameter includes:
Echo strength is in ductility currently radially:
Wherein,
The consistency of current diameter echo power forwards, backwards:
Wherein, dBI, j=ZI, j-20logRI, j-0.0011*RI, j,
Consistency before and after local echo intensity:
Wherein, (i, j) is the coordinate value of range bin, ZI, jFor the echo strength of range bin, NRFor effective spy of echo strength
Range bin number is surveyed, Val is effective probe value, Ri,jFor at a distance from radar center, 0.0011 is attenuation coefficient；
The expression formula of membership function are as follows:
Y is membership function value, and x is some range bin difference characteristic parameter RREF、dZi,j、TDBZValue, para [0], para
[1], para [2] is according to difference characteristic parameter RREF、dZi,j、TDBZ3 preset thresholds that probability distribution determines.
In this embodiment, by analyzing radial interference echo and precipitation echo, discovery diametral interference echo with
The different characteristics of precipitation echo is: can generally be extended to farthest detection range, original echo changed power is unobvious, and echo is strong
Front and back difference is small radially for degree.Therefore, extraction 3 is able to reflect diametral interference echo from echo strength and precipitation echo is poor
Different characteristic parameter, i.e. RREF, indicate echo strength in ductility currently radially；DZ indicates current diameter echo function forwards, backwards
The consistency of rate；TdBZ, indicate the consistency before and after local echo intensity.
As shown in figure 3, according to the diametral interference echo of one embodiment of the invention and the identifying system 1000 of precipitation echo,
Include:
First obtains module 100, is arranged to be used for the first diametral interference echo body of acquisition and sweeps data and the first precipitation time
Wave body sweeps data as staqtistical data base；
Contrast module 200 is arranged to be used for the first diametral interference echo body of comparison and sweeps data and the first precipitation echo body
The data of sweeping determines difference characteristic parameter；
Control module 300 is arranged to be used for constructing membership function according to difference characteristic parameter and staqtistical data base, and right
Fuzzy value of the difference characteristic parameter fuzzy processing between 0-1；
Computing module 400 is arranged to be used for assigning fuzzy value into corresponding weight value, and weighted accumulation obtains criterion；
Comparison module 500 is arranged to be used for according to criterion compared with preset threshold, when criterion value is greater than preset threshold
When, it is diametral interference echo.
In this embodiment, the physical parameter of diametral interference echo character is able to reflect by extracting, according to diametral interference
The probability distribution of echo character parameter establishes corresponding membership function, carries out Fuzzy processing to these characteristic parameters, obtains institute
Have characteristic parameter for the 0-1 value criterion of different type echo, then these criterion values are weighted it is cumulative, when certain point
When criterion value is more than threshold value given in advance, which is just judged as diametral interference echo and rejects；By analyzing diametral interference
It the characteristics of feature difference of echo and precipitation echo, the system of comprehensive existing identification diametral interference echo, is formed and is patrolled based on fuzzy
The diametral interference echo identifying system collected, so as to eliminate the interference echo of single radial, narrow radial direction and large area radial direction, together
When reduce influence to precipitation echo.
In the present embodiment, the staqtistical data base established using table 2 counts diametral interference echo, Convective Cloud Precipitation Echoes
With the characteristic parameter of Stratiform Cloud Precipitation echo, probability distribution is as a result, as shown in Figure 5.According to characteristic parameter RREF, dZ and TdBZIt is general
Rate distribution, that is, can determine the trapezoidal broken line membership function of each parameter, as shown in Figure 6.By RREF, dZ and TdBZThree characteristic parameters
Weight be respectively set to 0.5,0.25,0.25, and count the final criterion value probability point of diametral interference echo and precipitation echo
Cloth sets 0.55 for criterion value threshold value as shown in fig. 7, therefore, i.e., criterion value is more than that 0.55 diametral interference that is identified as is returned
Wave.
As shown in figure 4, according to the diametral interference echo of another embodiment of the present invention and the identifying system of precipitation echo, also
Include:
Second obtains module 600, is arranged to be used for the second diametral interference echo body of acquisition and sweeps data and the second precipitation time
Wave body sweeps data as validation database；
Authentication module 700 is arranged to be used for verifying the accuracy rate and False Rate of criterion according to validation database.
In this embodiment, by the way that using validation database as consulting database, the criterion for verifying formation is radial in identification
The accuracy rate and False Rate of interference echo, so that the validity for promptly and accurately understanding this method is allowed users to, it can be effective
Property it is not high in the case where adjust accordingly, and then improve diametral interference echo recognition effect.
In the present embodiment, using the validation database in table 2, respectively to radial interference echo, Convective Cloud Precipitation Echoes
It is identified with the sample of Stratiform Cloud Precipitation echo, and the accuracy rate and False Rate that calculate identification using formula are with decision algorithm
Recognition effect, the results are shown in Table 3.
Accuracy rate=diametral interference echo accurately identifies points/diametral interference echo samples sum * 100%；False Rate=
Precipitation echo misidentifies points/precipitation echo total sample number * 100%.
The recognition accuracy of 3 diametral interference echo of table and identification False Rate to precipitation echo
By the result of table 3 as it can be seen that the rate that accurately identifies of new algorithm improves 13.59% relative to former algorithm, identification is accurate
Rate greatly improves, and the erroneous judgement of precipitation echo is obviously improved.
Specifically, the setting of this system includes but is not limited to following technical scheme:
Embodiment 1
First diametral interference echo body sweeps data, the first precipitation echo body sweeps data, the second diametral interference echo body sweeps money
Material and the second precipitation echo body sweep the body that data is same weather radar and sweep data.
It is understood that the body that the body data of sweeping above-mentioned may be different weather radar sweeps data.
In this embodiment, data is swept as staqtistical data base and validation database using the body of the same weather radar,
It can be good at verifying the recognition effect of corresponding weather radar identification diametral interference echo；And use different weather radars
Body sweeps data as staqtistical data base and validation database, can accurate validation apply the popularity of the system, for the system
It promotes and data support is provided.
Embodiment 2
First precipitation echo body sweeps data and the second precipitation echo body sweep data be Convective Cloud Precipitation Echoes body sweep data and
Stratiform Cloud Precipitation echo body sweeps at least one of data.
Embodiment 3
Staqtistical data base and validation database are that azimuth-range library is a unit.
In any of the above-described embodiment, it is preferable that difference characteristic parameter includes:
Echo strength is in ductility currently radially:
Wherein,
The consistency of current diameter echo power forwards, backwards:
Wherein, dBI, j=ZI, j-20logRI, j-0.0011*RI, j,
Consistency before and after local echo intensity:
Wherein, (i, j) is the coordinate value of range bin, ZI, jFor the echo strength of range bin, NRFor effective spy of echo strength
Range bin number is surveyed, Val is effective probe value, Ri,jFor at a distance from radar center, 0.0011 is attenuation coefficient；
The expression formula of membership function are as follows:
Y is membership function value, and x is some range bin difference characteristic parameter RREF、dZi,j、TDBZValue, para [0], para
[1], para [2] is according to difference characteristic parameter RREF、dZi,j、TDBZ3 preset thresholds that probability distribution determines.
Specific embodiment
Specific embodiment 1
By taking the observation chart of the Shaanxi Xi'an on July 3rd, 2013 01:29 (UTC) CB radar as an example.2.4 ° of elevation angle echo strength figures
Display has single radial, narrow radial direction and large area diametral interference echo.It is only least a portion of dry after the identification of former algorithm
Disturb that echo is identified to be eliminated, most interference echo something lost is left behind, especially the interference echo of large area radial direction.And it passes through
After crossing new algorithm identification, the diametral interference echo overwhelming majority is identified to be eliminated, only 29 ° of azimuthal single diametral interference echoes
Only identify part.It can illustrate from this example, new algorithm can not only identify single radial, narrow radial interference echo,
It can identify that the diametral interference echo of large area, recognition effect are preferable.
Specific embodiment 2
With the precipitation echo on August 24th, 2013 Yueyang 00:45 (UTC) 0.5 ° of elevation angle of radar and diametral interference echo observation
For figure.After former algorithm and new algorithm identification, diametral interference echo is identified to be rejected, but former algorithm is to precipitation echo
Erroneous judgement it is more, and the erroneous judgement of new algorithm is less.Therefore, new algorithm is few compared with former algorithm for the misrecognition situation of precipitation echo,
Effect is preferable.
In the present invention, term " first ", " second ", " third " are only used for the purpose of description, and should not be understood as indicating
Or imply relative importance；Term " multiple " then refers to two or more, unless otherwise restricted clearly.Term " installation ",
The terms such as " connected ", " connection ", " fixation " shall be understood in a broad sense, for example, " connection " may be a fixed connection, being also possible to can
Dismantling connection, or be integrally connected；" connected " can be directly connected, can also be indirectly connected through an intermediary.For this
For the those of ordinary skill in field, the specific meanings of the above terms in the present invention can be understood according to specific conditions.
In description of the invention, it is to be understood that the instructions such as term " on ", "lower", "left", "right", "front", "rear"
Orientation or positional relationship is to be based on the orientation or positional relationship shown in the drawings, and is merely for convenience of the description present invention and simplification is retouched
It states, rather than the device or unit of indication or suggestion meaning must have specific direction, be constructed and operated in a specific orientation,
It is thus impossible to be interpreted as limitation of the present invention.
In the description of this specification, the description of term " one embodiment ", " some embodiments ", " specific embodiment " etc.
Mean that particular features, structures, materials, or characteristics described in conjunction with this embodiment or example are contained at least one reality of the invention
It applies in example or example.In the present specification, schematic expression of the above terms are not necessarily referring to identical embodiment or reality
Example.Moreover, description particular features, structures, materials, or characteristics can in any one or more of the embodiments or examples with
Suitable mode combines.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of recognition methods of diametral interference echo and precipitation echo, which comprises the following steps:
Obtain that the first diametral interference echo body sweeps data and the first precipitation echo body sweeps data as staqtistical data base；
Compare that the first diametral interference echo body sweeps data and the first precipitation echo body data of sweeping determines that difference characteristic is joined
Number；
Membership function is constructed according to the difference characteristic parameter and the staqtistical data base, and to the difference characteristic parameter fuzzy
Handle the fuzzy value between 0-1；
Assign the fuzzy value to corresponding weight value, and weighted accumulation obtains criterion；
It is diametral interference echo when the criterion value is greater than the preset threshold according to the criterion compared with preset threshold.
2. the recognition methods of diametral interference echo and precipitation echo according to claim 1, which is characterized in that further include:
Obtain that the second diametral interference echo body sweeps data and the second precipitation echo body sweeps data as validation database；
The accuracy rate and False Rate of the criterion are verified according to the validation database.
3. the recognition methods of diametral interference echo and precipitation echo according to claim 2, which is characterized in that described first
Diametral interference echo body sweeps data, the first precipitation echo body sweeps data, the second diametral interference echo body sweeps data and
It is that same weather radar body sweeps data that the second precipitation echo body, which sweeps data,；And/or
The first precipitation echo body sweeps data and the second precipitation echo body sweeps data and sweeps money for Convective Cloud Precipitation Echoes body
Material and Stratiform Cloud Precipitation echo body sweep at least one of data；And/or
The staqtistical data base and the validation database are that azimuth-range library is a unit.
4. the recognition methods of diametral interference echo and precipitation echo according to any one of claim 1 to 3, feature exist
In the difference characteristic parameter includes:
Echo strength is in ductility currently radially:
Wherein,
The consistency of current diameter echo power forwards, backwards:
Wherein, dBI, j=ZI, j-20logRI, j-0.0011*RI, j,
Consistency before and after local echo intensity:
Wherein, (i, j) is the coordinate value of range bin, ZI, jFor the echo strength of range bin, NRFor echo strength it is effective detection away from
From library number, Val is effective probe value, Ri,jFor at a distance from radar center, 0.0011 is attenuation coefficient；
The expression formula of the membership function are as follows:
X is some range bin difference characteristic parameter RREF、dZi,j、TDBZValue, para [0], para [1], para [2] be according to difference
Different characteristic parameter RREF、dZi,j、TDBZ3 preset thresholds that probability distribution determines.
5. a kind of identifying system of diametral interference echo and precipitation echo characterized by comprising
First obtains module, is arranged to be used for obtaining the first diametral interference echo body and sweeps data and the first precipitation echo body sweeps money
Material is used as staqtistical data base；
Contrast module is arranged to be used for comparing the first diametral interference echo body and sweeps data and the first precipitation echo body
The data of sweeping determines difference characteristic parameter；
Control module is arranged to be used for according to the difference characteristic parameter and staqtistical data base building membership function, and
To fuzzy value of the difference characteristic parameter fuzzy processing between 0-1.
Computing module is arranged to be used for assigning the fuzzy value to corresponding weight value, and weighted accumulation obtains criterion；
Comparison module is arranged to be used for according to the criterion compared with preset threshold, when the criterion value is greater than described preset
It is diametral interference echo when threshold value.
6. the identifying system of diametral interference echo and precipitation echo according to claim 5, which is characterized in that further include:
Second obtains module, is arranged to be used for obtaining the second diametral interference echo body and sweeps data and the second precipitation echo body sweeps money
Material is used as validation database；
Authentication module is arranged to be used for verifying the accuracy rate and False Rate of the criterion according to the validation database.
7. the identifying system of diametral interference echo and precipitation echo according to claim 6, which is characterized in that described first
Diametral interference echo body sweeps data, the first precipitation echo body sweeps data, the second diametral interference echo body sweeps data and
It is that same weather radar body sweeps data that the second precipitation echo body, which sweeps data,；And/or
The first precipitation echo body sweeps data and the second precipitation echo body sweeps data and sweeps money for Convective Cloud Precipitation Echoes body
Material and Stratiform Cloud Precipitation echo body sweep at least one of data；And/or
The staqtistical data base and the validation database are that azimuth-range library is a unit.
8. the identifying system of diametral interference echo and precipitation echo according to any one of claims 5 to 7, feature exist
In the difference characteristic parameter includes:
Echo strength is in ductility currently radially:
Wherein,
The consistency of current diameter echo power forwards, backwards:
Wherein, dBI, j=ZI, j-20logRI, j-0.0011*RI, j,
Consistency before and after local echo intensity:
Wherein, (i, j) is the coordinate value of range bin, ZI, jFor the echo strength of range bin, NRFor echo strength it is effective detection away from
From library number, Val is effective probe value, Ri,jFor at a distance from radar center, 0.0011 is attenuation coefficient
The expression formula of the membership function are as follows:
X is some range bin difference characteristic parameter RREF、dZi,j、TDBZValue, para [0], para [1], para [2] be according to difference
Different characteristic parameter RREF、dZi,j、TDBZ3 preset thresholds that probability distribution determines.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811526005.2A CN109343062B (en) | 2018-12-13 | 2018-12-13 | Method and system for identifying radial interference echo and precipitation echo |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811526005.2A CN109343062B (en) | 2018-12-13 | 2018-12-13 | Method and system for identifying radial interference echo and precipitation echo |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109343062A true CN109343062A (en) | 2019-02-15 |
| CN109343062B CN109343062B (en) | 2021-07-20 |
Family
ID=65304185
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811526005.2A Active CN109343062B (en) | 2018-12-13 | 2018-12-13 | Method and system for identifying radial interference echo and precipitation echo |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109343062B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110174687A (en) * | 2019-05-24 | 2019-08-27 | 中国气象科学研究院 | A kind of cloud water route acquisition methods and device |
| CN111561980A (en) * | 2020-05-18 | 2020-08-21 | 攀枝花市尚杨科技有限公司 | Method and device for identifying metal liquid level echo signal and monitoring liquid level height |
| CN115184939A (en) * | 2022-07-13 | 2022-10-14 | 长沙祥云瑞风信息技术有限公司 | Novel volume scanning data file generation method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102628944A (en) * | 2012-03-16 | 2012-08-08 | 兰州大学 | Stratus cloud and convective cloud automatic recognition method based on Doppler radar data |
| CN102645679A (en) * | 2012-03-13 | 2012-08-22 | 天津大学 | Mesocyclone identification method based on Doppler radar echo images |
| CN103048651A (en) * | 2013-01-10 | 2013-04-17 | 成都信息工程学院 | Multi-parameter simulation meteorological radar echo generating device and generating method |
| KR101528525B1 (en) * | 2014-05-14 | 2015-06-12 | 경북대학교 산학협력단 | Method of restoring filter in weather radar signal, method of controlling fuzzy quality using the method, recording medium and device for performing the methods |
| CN105548984A (en) * | 2015-12-10 | 2016-05-04 | 中国人民解放军理工大学 | Dual-polarization Doppler weather radar ground clutter inhibition method based on fuzzy logic |
| CN107679453A (en) * | 2017-08-28 | 2018-02-09 | 天津大学 | Weather radar electromagnetic interference echo recognition methods based on SVMs |
-
2018
- 2018-12-13 CN CN201811526005.2A patent/CN109343062B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102645679A (en) * | 2012-03-13 | 2012-08-22 | 天津大学 | Mesocyclone identification method based on Doppler radar echo images |
| CN102628944A (en) * | 2012-03-16 | 2012-08-08 | 兰州大学 | Stratus cloud and convective cloud automatic recognition method based on Doppler radar data |
| CN103048651A (en) * | 2013-01-10 | 2013-04-17 | 成都信息工程学院 | Multi-parameter simulation meteorological radar echo generating device and generating method |
| KR101528525B1 (en) * | 2014-05-14 | 2015-06-12 | 경북대학교 산학협력단 | Method of restoring filter in weather radar signal, method of controlling fuzzy quality using the method, recording medium and device for performing the methods |
| CN105548984A (en) * | 2015-12-10 | 2016-05-04 | 中国人民解放军理工大学 | Dual-polarization Doppler weather radar ground clutter inhibition method based on fuzzy logic |
| CN107679453A (en) * | 2017-08-28 | 2018-02-09 | 天津大学 | Weather radar electromagnetic interference echo recognition methods based on SVMs |
Non-Patent Citations (3)
| Title |
|---|
| 20170630: "多普勒天气雷达地物回波识别算法改进", 《高原气象》 * |
| 杜言霞等: "天气雷达径向干扰回波去除方法的比较", 《干旱气象》 * |
| 郭春辉等: "多普勒天气雷达径向干扰回波的识别与消除", 《气象水文海洋仪器》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110174687A (en) * | 2019-05-24 | 2019-08-27 | 中国气象科学研究院 | A kind of cloud water route acquisition methods and device |
| CN110174687B (en) * | 2019-05-24 | 2020-11-20 | 中国气象科学研究院 | Cloud water path acquisition method and device |
| CN111561980A (en) * | 2020-05-18 | 2020-08-21 | 攀枝花市尚杨科技有限公司 | Method and device for identifying metal liquid level echo signal and monitoring liquid level height |
| CN115184939A (en) * | 2022-07-13 | 2022-10-14 | 长沙祥云瑞风信息技术有限公司 | Novel volume scanning data file generation method |
| CN115184939B (en) * | 2022-07-13 | 2023-08-08 | 长沙祥云瑞风信息技术有限公司 | New method for generating volume scanning data file |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109343062B (en) | 2021-07-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108802722B (en) | It is a kind of based on tracking before the Faint target detection virtually composed | |
| CN109343062A (en) | A kind of recognition methods and system of diametral interference echo and precipitation echo | |
| Cho et al. | Identification and removal of ground echoes and anomalous propagation using the characteristics of radar echoes | |
| CN108074244B (en) | Safe city traffic flow statistical method integrating deep learning and background difference method | |
| CN106324579B (en) | A kind of target strong scattering source RCS extraction algorithm | |
| CN109461095A (en) | A kind of data processing method and equipment of the load event detection for the identification of non-intrusion type load | |
| CN104316861B (en) | integrated circuit hardware Trojan detection method and system | |
| Gupta et al. | Electronic warfare: Issues and challenges for emitter classification | |
| KR101255736B1 (en) | Method for classifying meteorological/non-meteorological echoes using single polarization radars | |
| CN103400137B (en) | A kind of building geometric parameter extracting method of SAR image | |
| CN111142085B (en) | External radiation source radar target classification and identification method based on track feature extraction | |
| CN107561509B (en) | Airborne millimeter wave radar power line detection method | |
| CN110059713A (en) | Precipitation type identification method based on precipitation particle multi-feature parameters | |
| CN115063400B (en) | Musical instrument production defect detection method using visual means | |
| CN109061774A (en) | A kind of thunderstorm core relevance processing method | |
| Zhang et al. | Improved fuzzy logic method to distinguish between meteorological and non-meteorological echoes using C-band polarimetric radar data | |
| CN109557165B (en) | Method for monitoring the quality of a mass spectrometry imaging preparation workflow | |
| CN109598947A (en) | A kind of vehicle identification method and system | |
| CN107505541A (en) | A kind of recognition methods of partial discharge of transformer pattern | |
| CN110475246A (en) | Malice anchor node detection method based on isolated forest and sequential probability ratio test | |
| CN109521412A (en) | Radar network composite airspace object detection method based on local statistic fusion | |
| CN106526558B (en) | Gust front automatic identifying method based on Doppler weather radar data | |
| Chen et al. | A novel smoke detection algorithm based on improved mixed Gaussian and YOLOv5 for textile workshop environments | |
| CN111669702A (en) | Coarse and fine matching positioning method based on WIFI address and field intensity | |
| CN116540185A (en) | Sorting identification method based on density clustering |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |