CN106324600A - Wind field measurement method and device - Google Patents
Wind field measurement method and device Download PDFInfo
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- CN106324600A CN106324600A CN201610630628.9A CN201610630628A CN106324600A CN 106324600 A CN106324600 A CN 106324600A CN 201610630628 A CN201610630628 A CN 201610630628A CN 106324600 A CN106324600 A CN 106324600A
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- 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
- G01S13/953—Radar or analogous systems specially adapted for specific applications for meteorological use mounted on aircraft
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Abstract
The present invention belongs to the meteorological measurement field and relates to a wind field measurement method and device. The wind field measurement method includes the following steps that: flight number information, ADS-B position information and ADS-B vacuum speed information in ADS-B data are extracted; flight number information, SSR position information and SSR vacuum speed information in SSR data are extracted; a fusion ground speed vector is generated; and horizontal wind speed vectors at different observation time points are obtained according to the ADS-B data and the SSR data, so that a wind field can be obtained through fusing the horizontal wind speed vectors. According to the wind field measurement method and device of the invention, data fusion is performed on the ADS-B data and the SSR data, so that aircraft ground speed measurement precision can be improved; the SSR data are adopted, a coverage area of a mode according to which wind field measurement is carried out by means of ADS-B data alone can be increased; and the ADS-B data are adopted, and the temporal-spatial resolution and accuracy of a mode according to which wind field measurement is carried out by means of SSR data alone can be effectively improved.
Description
Technical field
The invention belongs to meteorologic survey technical field, be specifically related to a kind of Wind field measurement method and device.
Background technology
Wind field measurement has widespread demand in fields such as meteorological agricultural, Aero-Space, maritime affairs.Existing upper-level winds field measurement means
Mainly having sounding balloon, wind profile radar, LDV technique etc., sounding balloon temporal resolution is low, it is impossible to provide efficient real
Time Wind field measurement data；Wind profile radar involves great expense with LDV technique, measurement model with certain assumed condition and
Detectivity is easily affected by meteorological condition.
Summary of the invention
, detectivity low for current Wind field measurement temporal resolution is easily by problems such as meteorological condition are affected, and the present invention carries
Go out a kind of Wind field measurement method and device.The present invention propose Wind field measurement method and device based on observation flight ADS-B and
SSR data fusion carries out upper-level winds field measurement, improves precision and the temporal resolution of Wind field measurement.
First aspect, the Wind field measurement method that the present invention proposes, including:
Step S1: extract flight number information, ADS-B positional information and the ADS-B true air speed information in ADS-B data；Carry
Take the flight number information in SSR data, SSR positional information and SSR true air speed information；
Step S2: utilize ADS-B positional information corresponding to same flight number information and SSR positional information to merge, with
Generate and merge ground vector；
Step S3: according to this ADS-B true air speed information and this fusion ground vector, generates ADS-B horizontal wind speed vector；Root
According to this SSR true air speed information and this fusion ground vector, generate SSR horizontal wind speed vector；
Step S4: according to step S1～S3, obtain the horizontal wind of ADS-B in the multiple observation moment corresponding with ADS-B data
Speed vector, obtains the SSR horizontal wind speed vector in the multiple observation moment corresponding with SSR data；
Step S5: according to the horizontal wind speed Vector modulation wind in the different observation moment that ADS-B data obtain from SSR data
?.
Further, in the Wind field measurement method that the present invention proposes, in step S1, also extract the ADS-B in ADS-B data
SSR course information in course information and extraction SSR data；Accordingly, the ADS-B position that same flight number information is corresponding is utilized
Information, SSR positional information, ADS-B course information and SSR course information merge, and merge ground vector to generate.
Further, the Wind field measurement method that the present invention proposes, step S2 is specifically, utilize same flight number information corresponding
ADS-B positional information, SSR positional information, the ADS-B course information derived based on ADS-B positional information and based on SSR position
The SSR course information that confidence breath is derived merges, and merges ground vector to generate.
Further, the Wind field measurement method that the present invention proposes, in step s 2, note merges ground vector and isIn step
In rapid S3, this ADS-B true air speed information is ADS-B true air speed vector, remembers that this ADS-B true air speed vector isRemember this ADS-B
Horizontal wind speed vector isHave
Further, the Wind field measurement method that the present invention proposes, in step s 2, note merges ground vector and isIn step
In rapid S3, this SSR true air speed information is SSR true air speed vector, remembers that this SSR true air speed vector isRemember this SSR horizontal wind speed
Vector isHave
Compared with prior art, the Wind field measurement method that the present invention proposes utilizes ADS-B data and SSR data to carry out data
Merge, thus improve aircraft ground velocity certainty of measurement；Use SSR data, increase and rely solely on ADS-B data and carry out wind field survey
The coverage of amount；Use ADS-B data, be effectively increased and rely solely on SSR data and carry out the spatial and temporal resolution of Wind field measurement
With precision.
Second aspect, the Wind field measurement device that the present invention proposes, including: information extraction unit, it is used for extracting ADS-B data
In flight number information, ADS-B positional information and ADS-B true air speed information and extract the flight number information in SSR data, SSR
Positional information and SSR true air speed information；Merge ground vector signal generating unit, be used for the ADS-utilizing same flight number information corresponding
B location information and SSR positional information merge, and merge ground vector to generate；Horizontal wind speed vector generation unit, for root
According to this ADS-B true air speed information and this fusion ground vector, generate ADS-B horizontal wind speed vector；According to this SSR true air speed information
And this fusion ground vector, generate SSR horizontal wind speed vector；Multiple observation time data acquiring units, for carrying according to information
Take unit, merge ground vector signal generating unit and horizontal wind speed vector generation unit, obtain the multiple sights corresponding with ADS-B data
Survey the ADS-B horizontal wind speed vector in moment, obtain the SSR horizontal wind speed vector in the multiple observation moment corresponding with SSR data；Wind
Field synthesis unit, the horizontal wind speed Vector modulation wind in the different observation moment for obtaining from SSR data according to ADS-B data
?.
Further, the Wind field measurement device that the present invention proposes, this information extraction unit is additionally operable to extract in ADS-B data
ADS-B course information and extract the SSR course information in SSR data；Accordingly, this fusion ground vector signal generating unit is used for
Utilize ADS-B positional information, SSR positional information, ADS-B course information and SSR course information that same flight number information is corresponding
Merge, merge ground vector to generate.
Further, the Wind field measurement device that the present invention proposes, this fusion ground vector signal generating unit is used for utilizing identical
ADS-B positional information corresponding to flight number information, SSR positional information, the ADS-B course derived based on ADS-B positional information
Information and the SSR course information derived based on SSR positional information merge, and merge ground vector to generate.
Further, the Wind field measurement device that the present invention proposes, in this fusion ground vector signal generating unit, note merges with ground
Speed vector isIn this horizontal wind speed vector generation unit, this ADS-B true air speed information is ADS-B true air speed vector, note
This ADS-B true air speed vector isRemember that this ADS-B horizontal wind speed vector isHave
Further, the Wind field measurement device that the present invention proposes, in this fusion ground vector signal generating unit, note merges with ground
Speed vector isIn this horizontal wind speed vector generation unit, this SSR true air speed information is SSR true air speed vector, and note should
SSR true air speed vector isRemember that this SSR horizontal wind speed vector isHave
Compared with prior art, the Wind field measurement device that the present invention proposes utilizes ADS-B data and SSR data to carry out data
Merge, thus improve aircraft ground velocity certainty of measurement；Use SSR data, increase and rely solely on ADS-B data and carry out wind field survey
The coverage of amount；Use ADS-B data, be effectively increased and rely solely on SSR data and carry out the spatial and temporal resolution of Wind field measurement
With precision.
Accompanying drawing explanation
In order to be illustrated more clearly that the specific embodiment of the invention or technical scheme of the prior art, below will be to specifically
In embodiment or description of the prior art, the required accompanying drawing used is briefly described.In all of the figs, similar element
Or part is typically by the reference mark being similar to.In accompanying drawing, each element or part might not be drawn according to actual ratio.
Fig. 1 shows the schematic flow sheet of embodiment of the present invention Wind field measurement method；
Fig. 2 shows the schematic diagram of horizontal wind speed vector calculus in embodiment of the present invention Wind field measurement method；
Fig. 3 shows the composition schematic diagram of embodiment of the present invention Wind field measurement device；
Fig. 4 shows an enforcement schematic diagram of embodiment of the present invention Wind field measurement method.
Detailed description of the invention
Below in conjunction with accompanying drawing, the embodiment of technical solution of the present invention is described in detail.Following example are only used for
Technical scheme is clearly described, is therefore intended only as example, and the protection of the present invention can not be limited with this
Scope.
It should be noted that except as otherwise noted, technical term used in this application or scientific terminology should be this
The ordinary meaning that bright one of ordinary skill in the art are understood.
Embodiment 1
As it is shown in figure 1, the present embodiment Wind field measurement method, including:
Step S1: extract flight number information, ADS-B positional information and the ADS-B true air speed information in ADS-B data；Carry
Take the flight number information in SSR data, SSR positional information and SSR true air speed information；
Step S2: utilize ADS-B positional information corresponding to same flight number information and SSR positional information to merge, with
Generate and merge ground vector；
Step S3: according to this ADS-B true air speed information and this fusion ground vector, generates ADS-B horizontal wind speed vector；Root
According to this SSR true air speed information and this fusion ground vector, generate SSR horizontal wind speed vector；
Step S4: according to step S1～S3, obtain the horizontal wind of ADS-B in the multiple observation moment corresponding with ADS-B data
Speed vector, obtains the SSR horizontal wind speed vector in the multiple observation moment corresponding with SSR data；
Step S5: according to the horizontal wind speed Vector modulation wind in the different observation moment that ADS-B data obtain from SSR data
?.
Automatic dependent surveillance broadcast system (Automatic Dependent Surveillance-Broadcast, with
Lower abbreviation ADS-B) it is a kind of satellite-based flight monitoring system, utilize the aircraft navigation data that onboard satellite navigator obtains, logical
Cross broadcast mode provide the accurate position of flight, highly, speed, course, the information such as intention, for Routing monitoring and airdrome scene rail
Mark monitors provides data support, and the guarantee traffic control for flight provides aid decision.
S mode secondary radar (Secondary Surveillance Radar, hereinafter referred to as SSR) is that a kind of transmitting inquires
Signal also receives echo signal to obtain the radar of target information.
Owing to aircraft airborne pitot meter can measure true air speed in real time, and by Ground-to-Air Data Link, true air speed is sent to ground
Face so that all with true air speed data in ADS-B data and SSR data；Utilize the true air speed in ADS-B Yu SSR data and ground
Speed data, just can obtain current overhead horizontal wind speed by Vector operation.
The method that single dependence ADS-B data carry out Wind field measurement, can not obtain the aircraft not installing ADS-B airborne equipment
Obtain measurement data (ADS-B airborne equipment do not installed by current about half of airline carriers of passengers), limit dependence and ADS-B is installed
The application of high-altitude wind field measured by the aircraft of airborne equipment.
The method that single dependence SSR data carry out Wind field measurement, owing to the measurement error of aircraft position is much larger than by SSR
ADS-B and error increase with radar station spacing with aircraft, i.e. ground velocity measurement error is relatively big, and the wind field error finally calculated is also
Bigger；SSR data updating rate is lower than ADS-B simultaneously, and the wind field temporal resolution calculated is relatively low.
The present embodiment Wind field measurement method extracts ADS-B data and the flight number information in SSR data, position letter respectively
The data such as breath, true air speed information, and utilize same flight number to realize associating of ADS-B data and SSR data, thus to aircraft position
Confidence breath carries out Data Fusion, and obtains the fusion ground vector of aircraft.Utilize the fusion ground vector of aircraft, and difference
Carry out Vector modulation with the true air speed vector in ADS-B and SSR data and just can calculate the observation that ADS-B with SSR data are corresponding
The horizontal wind speed vector in moment.
In existing ADS-B system, aircraft flight information is to update once for 1 second, and in SSR system, aircraft flight information is then 4 seconds
Update once.Through respectively from the aircraft-position information in ADS-B system and SSR system and course information, carry out data and melt
Obtaining after conjunction and merge ground vector, merge the renewal frequency of ground vector faster, data volume is bigger, precision is higher.
The present embodiment Wind field measurement method utilizes ADS-B data and SSR data to carry out aircraft position data fusion, thus carries
High aircraft ground velocity certainty of measurement；Use SSR data, increase and rely solely on ADS-B data and carry out the covering model of Wind field measurement
Enclose；Use ADS-B data, be effectively increased and rely solely on SSR data and carry out spatial and temporal resolution and the precision of Wind field measurement.
The present embodiment Wind field measurement method utilizes ADS-B data and SSR data to carry out data fusion raising aircraft ground velocity and surveys
Accuracy of measurement, increases Wind field measurement data coverage, is effectively improved spatial and temporal resolution and the precision of Wind field measurement.
It should be appreciated that the every ADS-B of being capable of data are melted with the data of disclosure in the prior art of SSR data fusion
Conjunction method all can be applied in the present embodiment Wind field measurement method.
It should be noted that in the specific implementation, the different observation moment obtained from SSR data according to ADS-B data
In the step of horizontal wind speed Vector modulation wind field, the horizontal wind speed that difference can be observed by the way of focusing on the moment is vowed
Amount intensively synthesizes wind field；Can also be by the way of successively each observation moment being processed, the mode that i.e. pointwise processes,
By in horizontal wind speed Vector modulation to wind field.
Preferably, in the present embodiment Wind field measurement method, in step S1, it is also possible to extract the ADS-B boat in ADS-B data
SSR course information in information and extraction SSR data；Accordingly, the ADS-B position letter that same flight number information is corresponding is utilized
Breath, SSR positional information, ADS-B course information and SSR course information merge, and merge ground vector to generate.
Preferably, the present embodiment Wind field measurement method, step S2 is specifically, utilize ADS-corresponding to same flight number information
B location information, SSR positional information, the ADS-B course information derived based on ADS-B positional information and based on SSR positional information
The SSR course information derived merges, and merges ground vector to generate.
When being embodied as, the present embodiment Wind field measurement method, in step s 2, note merges ground vector and isIn step
In S3, this ADS-B true air speed information is ADS-B true air speed vector, remembers that this ADS-B true air speed vector isRemember this ADS-B water
Flat wind vector isHave
When being embodied as, the present embodiment Wind field measurement method, in step s 2, note merges ground vector and isIn step
In S3, this SSR true air speed information is SSR true air speed vector, remembers that this SSR true air speed vector isRemember that this SSR horizontal wind speed is vowed
Amount isHave
Fig. 2 gives the vector calculus schematic diagram of horizontal wind speed vector, ground vector and true air speed vector.
The present embodiment Wind field measurement method solves overhead horizontal wind field real-time measurement problem, it is to avoid single dependence ADS-
B data or SSR data calculate wind field and bring possible spreadability, reliability, integrity issue, and coverage is bigger, reliability
High, precision height, and need not increase any airborne and ground survey equipment, easy for installation, safe and reliable, it is adaptable to meteorological
Agricultural, Aero-Space, maritime affairs etc. need the field of high-spatial and temporal resolution wind field.
Embodiment 2
As it is shown on figure 3, the present embodiment Wind field measurement device, including:
Information extraction unit 10 is true for extracting flight number information, ADS-B positional information and the ADS-B in ADS-B data
Flight number information, SSR positional information and SSR true air speed information in air speed information and extraction SSR data；
Merge ground vector signal generating unit 20, be used for ADS-B positional information and the SSR utilizing same flight number information corresponding
Positional information merges, and merges ground vector to generate；
Horizontal wind speed vector generation unit 30, for according to this ADS-B true air speed information and this fusion ground vector, generates
ADS-B horizontal wind speed vector；According to this SSR true air speed information and this fusion ground vector, generate SSR horizontal wind speed vector；
Multiple observation time data acquiring units 40, for according to information extraction unit, fusion ground vector signal generating unit
With horizontal wind speed vector generation unit, obtain the ADS-B horizontal wind speed vector in the multiple observation moment corresponding with ADS-B data,
Obtain the SSR horizontal wind speed vector in the multiple observation moment corresponding with SSR data；
Wind field synthesis unit 50, the horizontal wind speed in the different observation moment for obtaining from SSR data according to ADS-B data
Vector modulation wind field.
Preferably, the present embodiment Wind field measurement device, this information extraction unit can be also used for extracting in ADS-B data
SSR course information in ADS-B course information and extraction SSR data；Accordingly, this fusion ground vector signal generating unit is for profit
ADS-B positional information, SSR positional information, ADS-B course information and the SSR course information corresponding by same flight number information are entered
Row merges, and merges ground vector to generate.
Preferably, the present embodiment Wind field measurement device, this fusion ground vector signal generating unit is used for utilizing same flight number
ADS-B positional information corresponding to information, SSR positional information, the ADS-B course information derived based on ADS-B positional information and
The SSR course information derived based on SSR positional information merges, and merges ground vector to generate.
When being embodied as, the present embodiment Wind field measurement device, in this fusion ground vector signal generating unit, note merges ground velocity
Vector isIn this horizontal wind speed vector generation unit, this ADS-B true air speed information is ADS-B true air speed vector, and note should
ADS-B true air speed vector isRemember that this ADS-B horizontal wind speed vector isHave
When being embodied as, the present embodiment Wind field measurement device, in this fusion ground vector signal generating unit, note merges ground velocity
Vector isIn this horizontal wind speed vector generation unit, this SSR true air speed information is SSR true air speed vector, remembers this SSR
True air speed vector isRemember that this SSR horizontal wind speed vector isHave
The present embodiment Wind field measurement device Wind field measurement device utilizes ADS-B data and SSR data to carry out data fusion, from
And improve aircraft ground velocity certainty of measurement；Use SSR data, increase and rely solely on ADS-B data and carry out covering of Wind field measurement
Lid scope；Use ADS-B data, be effectively increased and rely solely on SSR data and carry out spatial and temporal resolution and the precision of Wind field measurement.
The specific implementation method of the present embodiment Wind field measurement device refers to embodiment 1, repeats no more here.
Embodiment 3
Below in conjunction with application scenarios, the present invention is expanded on further.
As shown in Figure 4, flight number during the present embodiment Wind field measurement method extracts ADS-B data and SSR data, position,
The data such as true air speed, angle, course.
In the present embodiment Wind field measurement method, data fusion is realized by data fusion implement body, and data fusion is for utilizing phase
Realize the data association of ADS-B data and SSR data with flight number, aircraft position data is carried out fusion treatment, calculates and fly
Machine ground velocity.
ADS-B Yu SSR Data Fusion technology is current techique, does not illustrates at this.
In the present embodiment Wind field measurement method, wind speed is calculated as the aircraft ground velocity utilizing data fusion device to export, respectively with
True air speed in ADS-B and SSR data combines, and calculates the corresponding water measuring the moment of ADS-B with SSR data by Vector modulation
Flat wind vector.Computing Principle is as follows:
If the wind speed of t isGround velocity isTrue air speed isThen wind speed is:
Wherein,Obtained by data fusion device as shown in Figure 4,Obtain with SSR data from ADS-B data.
In the present embodiment Wind field measurement method, wind field synthesize respectively by ADS-B from SSR data calculate different
The wind field in moment synthesizes, the wind field data on output ADS-B Yu SSR detection course line.
The present embodiment Wind field measurement method proposes a kind of Wind field measurement method based on ADS-B Yu SSR data fusion, passes through
Extract the aircraft true air speed in existing ADS-B Yu SSR data and ground vector data, calculate the high-level water of aircraft this moment
Flat wind speed, do not increase any airborne with ground installation in the case of obtain the overhead horizontal wind field data of high-spatial and temporal resolution.
The present embodiment Wind field measurement method comprises the following steps:
Extract the data such as the airplane flight number in ADS-B data, position, true air speed, course；
Extract the data such as the airplane flight number in SSR data, position, true air speed, course；
The position data of ADS-B with SSR is merged, improves aircraft ground velocity certainty of measurement, increase data coverage,
The step for existing position data amalgamation mode can be used to realize；
The aircraft ground velocity utilizing data fusion device to export is carried out with data such as the true air speed in ADS-B with SSR, courses respectively
In conjunction with, calculate wind speed corresponding to each measurement moment, be finally synthesizing wind field output.
Last it is noted that various embodiments above is only in order to illustrate technical scheme, it is not intended to limit；To the greatest extent
The present invention has been described in detail by pipe with reference to foregoing embodiments, it will be understood by those within the art that: it depends on
So the technical scheme described in foregoing embodiments can be modified, or the most some or all of technical characteristic is entered
Row equivalent；And these amendments or replacement, do not make the essence of appropriate technical solution depart from various embodiments of the present invention technology
The scope of scheme, it all should be contained in the middle of the claim of the present invention and the scope of description.
Claims (10)
1. a Wind field measurement method, it is characterised in that including:
Step S1: extract flight number information, ADS-B positional information and the ADS-B true air speed information in ADS-B data；Extract SSR
Flight number information, SSR positional information and SSR true air speed information in data；
Step S2: utilize ADS-B positional information corresponding to same flight number information and SSR positional information to merge, to generate
Merge ground vector；
Step S3: according to described ADS-B true air speed information and described fusion ground vector, generates ADS-B horizontal wind speed vector；Root
According to described SSR true air speed information and described fusion ground vector, generate SSR horizontal wind speed vector；
Step S4: according to step S1～S3, the ADS-B horizontal wind speed obtaining the multiple observation moment corresponding with ADS-B data is vowed
Amount, obtains the SSR horizontal wind speed vector in the multiple observation moment corresponding with SSR data；
Step S5: according to the horizontal wind speed Vector modulation wind field in the different observation moment that ADS-B data obtain from SSR data.
Wind field measurement method the most according to claim 1, it is characterised in that in step S1, also extracts in ADS-B data
SSR course information in ADS-B course information and extraction SSR data；
Accordingly, utilize ADS-B positional information corresponding to same flight number information, SSR positional information, ADS-B course information and
SSR course information merges, and merges ground vector to generate.
Wind field measurement method the most according to claim 1, it is characterised in that step S2 is specifically, utilize same flight number
ADS-B positional information corresponding to information, SSR positional information, the ADS-B course information derived based on ADS-B positional information and
The SSR course information derived based on SSR positional information merges, and merges ground vector to generate.
Wind field measurement method the most according to claim 1, it is characterised in that in step s 2, note merges ground vector and isIn step s3, described ADS-B true air speed information is ADS-B true air speed vector, remembers that described ADS-B true air speed vector isRemember that described ADS-B horizontal wind speed vector isHave
Wind field measurement method the most according to claim 1, it is characterised in that in step s 2, note merges ground vector and isIn step s3, described SSR true air speed information is SSR true air speed vector, remembers that described SSR true air speed vector isNote institute
Stating SSR horizontal wind speed vector isHave
6. a Wind field measurement device, it is characterised in that including:
Information extraction unit, for extracting flight number information, ADS-B positional information and the ADS-B true air speed letter in ADS-B data
Flight number information, SSR positional information and SSR true air speed information in breath and extraction SSR data；
Merge ground vector signal generating unit, be used for ADS-B positional information and the SSR position letter utilizing same flight number information corresponding
Breath merges, and merges ground vector to generate；
Horizontal wind speed vector generation unit, for according to described ADS-B true air speed information and described fusion ground vector, generates
ADS-B horizontal wind speed vector；According to described SSR true air speed information and described fusion ground vector, generate SSR horizontal wind speed and vow
Amount；
Multiple observation time data acquiring units, for according to information extraction unit, fusion ground vector signal generating unit and level
Wind vector signal generating unit, obtains the ADS-B horizontal wind speed vectors in corresponding with ADS-B data multiple observation moment, obtain with
The SSR horizontal wind speed vector in multiple observation moment that SSR data are corresponding；
Wind field synthesis unit, the horizontal wind speed vector in the different observation moment for obtaining from SSR data according to ADS-B data closes
Become wind field.
Wind field measurement device the most according to claim 6, it is characterised in that described information extraction unit is additionally operable to extract
ADS-B course information in ADS-B data and the SSR course information in extraction SSR data；
Accordingly, described fusion ground vector signal generating unit for utilize ADS-B positional information corresponding to same flight number information,
SSR positional information, ADS-B course information and SSR course information merge, and merge ground vector to generate.
Wind field measurement device the most according to claim 6, it is characterised in that described fusion ground vector signal generating unit is used for
Utilize ADS-B positional information corresponding to same flight number information, SSR positional information, derive based on ADS-B positional information
ADS-B course information and the SSR course information derived based on SSR positional information merge, and merge ground vector to generate.
Wind field measurement device the most according to claim 6, it is characterised in that in described fusion ground vector signal generating unit
In, note merges ground vector and isIn described horizontal wind speed vector generation unit, described ADS-B true air speed information is
ADS-B true air speed vector, remembers that described ADS-B true air speed vector isRemember that described ADS-B horizontal wind speed vector isHave
Wind field measurement device the most according to claim 6, it is characterised in that in described fusion ground vector signal generating unit
In, note merges ground vector and isIn described horizontal wind speed vector generation unit, described SSR true air speed information is that SSR is true
Air velocity vector, remembers that described SSR true air speed vector isRemember that described SSR horizontal wind speed vector isHave
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108152529A (en) * | 2017-11-02 | 2018-06-12 | 成都飞机工业（集团）有限责任公司 | A kind of method based on flight parameter calculation of wind speed and wind direction |
| CN110288856A (en) * | 2019-06-21 | 2019-09-27 | 中国民用航空总局第二研究所 | The Scheduled Flight monitoring system and method for fine forecast based on wind |
| CN111951612A (en) * | 2020-07-23 | 2020-11-17 | 中国民用航空总局第二研究所 | Data fusion method, device and system |
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| CN106324600B (en) | 2019-08-02 |
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