CN110426690A - A kind of airborne weather radar beam position automatic calibrating method - Google Patents
A kind of airborne weather radar beam position automatic calibrating method Download PDFInfo
- Publication number
- CN110426690A CN110426690A CN201910587774.1A CN201910587774A CN110426690A CN 110426690 A CN110426690 A CN 110426690A CN 201910587774 A CN201910587774 A CN 201910587774A CN 110426690 A CN110426690 A CN 110426690A
- Authority
- CN
- China
- Prior art keywords
- error
- radar
- data
- pitching
- digital elevation
- 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
- 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
- G01S7/40—Means for monitoring or calibrating
- G01S7/4004—Means for monitoring or calibrating of parts of a radar system
- G01S7/4026—Antenna boresight
-
- 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)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention discloses a kind of airborne weather radar beam position calibration methods, it is characterized in that, calculating the difference in beam region and theoretical irradiation area during the scanning process using digital elevation map, automatic estimation orientation and pitching Beam steering error, realize calibration.The present invention utilizes digital elevation map information, calculates the difference in beam region and theoretical irradiation area, automatic estimation orientation and pitching Beam steering error during the scanning process, and realize calibration function.The method of the present invention enormously simplifies the measurement method of airborne weather radar Beam steering error method, is effectively improved meteorological detection performance.The method of the present invention can be applied to dual-use forward looking airborne radar field.The method of the present invention principle is simple, and it is accurate to calculate, and can carry out radar antenna beam position angle estimation error automatically, has good market application prospect.
Description
Technical field
The invention belongs to airborne weather radar technical field, it is related to a kind of airborne weather radar beam position side of calibration automatically
Method.
Background technique
Airborne weather radar can be realized the detection and display of the meteorological target in front of flight route, and pilot is according to display
The information such as meteorological target strength, distance and bearing, carry out workaround in advance on device, ensure flight safety.For the ease of checking
And decision, need radar to provide the accurate meteorological display without noise jamming.
Radar beam, which is directed toward deviation, will affect antenna beam coverage, as shown in Figure 1, antenna beam is in orientation and bows
It facing upward to there is certain error in pointing, so that beam region is deviated with specified region, radar detection being caused to be arrived
Meteorological target strength and position mark inaccuracy, or even clutter can be brought to influence, cause the loss of radar data reduction.In order to
Guarantee that radar can accurately obtain the weather information of aircraft forward, and eliminate noise jamming, radar after reinstalling every time all
It needs to carry out beam position calibration.
Beam steering error refers to the differential seat angle between the direction that the actual direction of radar antenna and requirement are directed toward, and is a variety of mistakes
Difference interaction as a result, main error source is antenna installation error and random amplitude phase error, if using active phase
Array antenna, then influence of the mutual coupling between unit, the inconsistency of antenna radiation pattern and antenna house etc. can all cause beam position
Deviation.
Currently, the beam alignmetn of airborne weather radar concentrates on the calibration aspect of antenna installation error, need head top
It rises, adjusts the horizontal plane of aircraft in abswolute level state, and carry out school using antenna of the special instrument and equipment to installation
Target, which require manual operation, and program is complicated, and heavy workload and fineness height, larger error in pointing will be caused by slightly neglecting,
The technical experience of operator is required high；And test site and condition requirement are harsh, it is inconvenient, while every installation radar
Special measurement will be carried out, to some radars for not being able to satisfy measuring condition, it is difficult to required precision needed for meeting system, because
This, is badly in need of the measurement and calibration of a kind of simple and effective means realization antenna beam error in pointing.
This patent is directed to manually the realistic problems such as measurement antenna beam error in pointing difficulty is big, test site is limited,
Propose a kind of method be directed toward using digital elevation map secondary beam and calibrated automatically.This method passes through in flight course
Select the automatic calibration knob of antenna, radar emission electromagnetic wave is scanned a certain region, the scanning figure obtained according to radar with
Practical corresponding Digital height model is compared and related, acquisition radar beam error in pointing, and the error is stored in processing
The error amount can be all called to carry out the calibration of Beam steering error inside machine, in later period radar use process.This method principle letter
Single, easy to operate, all not additional to measuring condition, place and survey crew requirement, achieves that in flight course, side
Just quick, it can greatly save the cost.
Innovation and creation purpose
This patent is directed to manually the realistic problems such as measurement antenna beam error in pointing difficulty is big, test site is limited,
Propose a kind of method calibrated automatically using digital elevation map auxiliary airborne weather radar progress beam position.Pass through flight
Radar scanning data and digital elevation data in the process, it is automatic to estimate airborne weather radar Beam steering error, improve antenna
Pointing accuracy realizes accurately detecting and the display of meteorological target, improves meteorological radar sounding performance.
Technical solution
A kind of airborne weather radar beam position calibration method, which is characterized in that digital elevation map is utilized, scanned
The difference in beam region and theoretical irradiation area, automatic estimation orientation and pitching Beam steering error are calculated in journey, are realized
Calibration.
The specific implementation step of the calibration includes:
(1) it during carrier aircraft smooth flight, selects beam alignmetn mode: so that radar beam is irradiated to ground completely, returning
Wave distinguishes clutter band, and radar scanning enrolls data simultaneously, after completing a scan period, obtains the landform that radar receives and returns
Wave number evidence；
(2) radar data pre-processes: radar return data are calculated into modulus value, and estimating noise power on this basis, if
Set noise gate；
(3) pitching error in pointing is estimated: taking position according to radar return and takes position with calculated theory and is compared
Compared with going out Beam steering error by the bias estimation of position；
(4) it bearing sense estimation error: by the radar return data binary conversion treatment of a scan line, and extracts compensation and bows
Digital elevation map data within the scope of radar scanning after facing upward error in pointing, while binary conversion treatment is carried out, utilize data point
The method of block calculates the correlation of radar return data and digital elevation map data, realizes the estimation of bearing sense error；
(5) Beam steering error is calibrated.Calculated pitching and azimuth beam error in pointing value are stored, in radar
The value is called to carry out Beam steering error calibration in use process.
In the step (3), pitching error in pointing estimation specific implementation step are as follows:
1) for each orientation echo data, beam coverage area is extracted, calculate each orientation echo data takes ground recently
Distance；
2) it according to carrier aircraft longitude, latitude, height, course angle, azimuth, pitch angle information, is mentioned from digital elevation map
Take the Terrain Height Information in beam direction；According to Terrain Elevation, carrier aircraft height, beam position information, calculate theoretically
Take recently distance；
3) according to echo it is practical take distance and it is theoretical take distance difference, estimate pitching Beam steering error；
4) step 1)~3 are repeated), estimate the pitching Beam steering error in all orientation；
5) pitch error data are filtered, obtained result is as pitching Beam steering error.
In the step (4), bearing sense estimation error implements step are as follows:
1) radar return data binary conversion treatment, and by its piecemeal, and every block number is recorded according to corresponding center hold angle；
2) influence of the pitching angle error of radar is eliminated, the landform letter without pitch error is extracted from digital elevation map
Breath, and consider wave cover and block；
3) the digital elevation map terrain data binary conversion treatment that will be extracted, and carry out sliding window piecemeal, piecemeal size with
Radar data is consistent, records every block number according to corresponding center hold angle；
4) related coefficient is calculated, all data blocks of each radar return data block and digital elevation map data are carried out
Relevant calculation finds out the corresponding data of related coefficient maximum value, calculates the center hold angle error of the two；
5) it repeats step 4) and obtains the center hold angle error data of each radar return data block；
6) center azimuth angle error data are filtered, obtained result is as azimuth beam error in pointing.
Filtering processing in the step 5), specially intermediate value processing.
Beneficial effect
(1) present invention utilizes digital elevation map information, calculates beam region during the scanning process and theory is irradiated
The difference in region, automatic estimation orientation and pitching Beam steering error, and realize calibration function.The method of the present invention enormously simplifies
The measurement method of airborne weather radar Beam steering error method, is effectively improved meteorological detection performance.
(2) the method for the present invention can be applied to dual-use forward looking airborne radar field.The method of the present invention principle is simple, meter
It calculates accurately really, radar antenna beam position angle estimation error can be carried out automatically, there is good market application prospect.
Detailed description of the invention
Fig. 1 is that pitching error in pointing estimates schematic diagram；
Fig. 2 is inventive algorithm flow diagram.
Specific embodiment
The present invention is described in further details with reference to the accompanying drawings of the specification:
(1) during carrier aircraft smooth flight, beam alignmetn mode is selected.Radar according to current carrier aircraft height, Terrain Elevation,
The parameters such as beam angle automatically select suitable pitching beam position and azimuth scan range, so that radar beam irradiates completely
To ground, echo can obviously distinguish clutter band, and radar scanning while enrolls data, after completing a scan period, obtain
The terrain return data X that radar receivesRadar[Nr][Naz], wherein Nr、NazRespectively indicate the unit of distance dimension, azimuth dimension
Number, current pitching direction value fELWith bearing data fAz[Naz]。
(2) radar data pre-processes.It is Y that radar return data, which are calculated modulus value postscript,Radar[Nr][Naz], and it is basic herein
Noise gate P is arranged in upper estimating noise powern_Threshold。
(3) pitching error in pointing is estimated
Wave beam takes position and pitch angle, and there are corresponding relationship (shown in Fig. 1), take position and theory according to radar return
It is worth calculated position of taking to be compared, Beam steering error is estimated that by the offset of position, the specific steps are as follows:
1) for each orientation naz(naz=1,2,3 ..., Naz) echo data, beam coverage area is extracted, each side is calculated
Position echo data take recently distance, be denoted as Rmin(na)；
2) according to information such as carrier aircraft longitude, latitude, course angle, azimuths, from extraction wave beam in digital elevation map (DEM)
The Terrain Height Information of direction of illumination, and saved by radar sampling rate, the DEM information preservation of present orientation is TmpDEM
[Nr]；
3) according to the information such as Terrain Elevation, carrier aircraft height, beam position calculate it is theoretic take recently distance
RDEM_min(na)；
4) according to echo it is practical take distance and it is theoretical take distance difference, estimate pitching Beam steering error, be denoted as
Errel(na)；
5) step 1)~4 are repeated), estimate the pitching Beam steering error Err in all orientationel[Naz]；
6) to pitch error data Errel[Naz] carry out intermediate value processing, obtained result as pitching Beam steering error,
It is denoted as
(4) bearing sense estimation error
By the radar return data binary conversion treatment of a scan line, after extracting compensation pitching error in pointing in DEM
Terrain data, while binary conversion treatment is carried out, the estimation of bearing sense error is realized using the relevant method of deblocking, specifically
Steps are as follows:
1) radar return data binary conversion treatment, the echo position that will be greater than noise gate set 1, are otherwise 0, and by its point
Data set is denoted as Y by blockRadar{ N }, N are block count, and every block number is according to interior comprising K frame echo data YRadar{ n } .Data, n=1,
2 ..., N and every block number are according to corresponding center hold angle YRadar{n}.fAz；
2) influence of pitching angle error is eliminated, the terrain information without pitch error is extracted in digital elevation map DEM,
Consider wave cover and block, the dem data of extraction is denoted as XDEM[Nr][Naz]；
3) by DEM terrain data binary conversion treatment, and sliding window piecemeal is carried out, piecemeal size is consistent with radar data, is denoted as
YDEM{ M }, M are block count, and every block number is according to interior comprising K frame echo data YDEM{ m } .Data, m=1,2 ..., M and every block number
According to corresponding center hold angle YDEM{m}.fAz；
4) related coefficient is calculated, to data block YRadar{ n } .Data respectively with YDEMM data block carry out relevant calculation,
The corresponding data of related coefficient maximum value are found out, computer azimuth angle error is denoted as Erraz(n)；
[~, j]=max (R)
Erraz(n)=YRadar{n}.fAz-YDEM{j}.fAz
5) it repeats step 4) and obtains N number of azimuth angle error data Erraz[N]；
6) to orientation error information Erraz[N] carries out intermediate value processing, and obtained result is as azimuth beam error in pointing, note
For
(5) Beam steering error is calibrated.Calculated pitching and azimuth beam error in pointing value are stored, in radar
The value is called to carry out Beam steering error calibration in use process:
Claims (5)
1. a kind of airborne weather radar beam position calibration method, which is characterized in that digital elevation map is utilized, in scanning process
The middle difference for calculating beam region and theoretical irradiation area, automatic estimation orientation and pitching Beam steering error, realize school
It is quasi-.
2. a kind of airborne weather radar beam position calibration method according to claim 1, which is characterized in that the tool of the calibration
Body implementation steps include:
(1) during carrier aircraft smooth flight, beam alignmetn mode is selected: so that radar beam is irradiated to ground, echo area completely
Clutter band is separated, radar scanning enrolls data simultaneously, after completing a scan period, obtains the terrain return number that radar receives
According to；
(2) radar data pre-processes: radar return data being calculated modulus value, and estimating noise power on this basis, setting are made an uproar
Glottis limit；
(3) pitching error in pointing is estimated: it position is taken according to radar return takes position with calculated theory and be compared, it is logical
The bias estimation for crossing position goes out Beam steering error；
(4) it bearing sense estimation error: by the radar return data binary conversion treatment of a scan line, and extracts compensation pitching and refers to
Digital elevation map data into the radar scanning after error, while binary conversion treatment is carried out, utilize deblocking
Method calculates the correlation of radar return data and digital elevation map data, realizes the estimation of bearing sense error；
(5) Beam steering error is calibrated.Calculated pitching and azimuth beam error in pointing value are stored, used in radar
The value is called to carry out Beam steering error calibration in the process.
3. a kind of airborne weather radar beam position calibration method according to claim 2, which is characterized in that the step (3)
In, pitching error in pointing estimation specific implementation step are as follows:
1) for each orientation echo data, extract beam coverage area, calculate each orientation echo data take recently distance；
2) according to carrier aircraft longitude, latitude, height, course angle, azimuth, pitch angle information, wave is extracted from digital elevation map
The Terrain Height Information of beam direction of illumination；According to Terrain Elevation, carrier aircraft height, beam position information, calculate it is theoretic most
Closely take distance；
3) according to echo it is practical take distance and it is theoretical take distance difference, estimate pitching Beam steering error；
4) step 1)~3 are repeated), estimate the pitching Beam steering error in all orientation；
5) pitch error data are filtered, obtained result is as pitching Beam steering error.
4. a kind of airborne weather radar beam position calibration method according to claim 2, which is characterized in that the step (4)
In, bearing sense estimation error implements step are as follows:
1) radar return data binary conversion treatment, and by its piecemeal, and every block number is recorded according to corresponding center hold angle；
2) influence of the pitching angle error of radar is eliminated, the terrain information without pitch error is extracted from digital elevation map,
And considers wave cover and block；
3) the digital elevation map terrain data binary conversion treatment that will be extracted, and sliding window piecemeal is carried out,
Piecemeal size is consistent with radar data, records every block number according to corresponding center hold angle；
4) related coefficient is calculated, it is related to the progress of all data blocks of digital elevation map data to each radar return data block
It calculates, finds out the corresponding data of related coefficient maximum value, calculate the center hold angle error of the two；
5) it repeats step 4) and obtains the center hold angle error data of each radar return data block；
6) center azimuth angle error data are filtered, obtained result is as azimuth beam error in pointing.
5. according to a kind of airborne weather radar beam position calibration method of claim 3 or 4, which is characterized in that the step
5) filtering processing in, specially intermediate value processing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910587774.1A CN110426690B (en) | 2019-07-02 | 2019-07-02 | Automatic calibration method for airborne weather radar beam pointing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910587774.1A CN110426690B (en) | 2019-07-02 | 2019-07-02 | Automatic calibration method for airborne weather radar beam pointing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110426690A true CN110426690A (en) | 2019-11-08 |
| CN110426690B CN110426690B (en) | 2022-10-25 |
Family
ID=68409977
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910587774.1A Active CN110426690B (en) | 2019-07-02 | 2019-07-02 | Automatic calibration method for airborne weather radar beam pointing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110426690B (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110940310A (en) * | 2019-11-15 | 2020-03-31 | 北京遥测技术研究所 | Calculation method for phased array antenna beam pointing angle of missile-borne relay measurement and control terminal |
| CN111366913A (en) * | 2020-03-24 | 2020-07-03 | 上海卫星工程研究所 | Calibration method for optical axis pointing measurement error of satellite-borne laser radar |
| CN111521882A (en) * | 2020-05-07 | 2020-08-11 | 清华大学 | On-orbit calibration method and device for beam pointing error of deep space probe antenna |
| CN111796246A (en) * | 2020-06-12 | 2020-10-20 | 中国船舶重工集团公司第七二四研究所 | Azimuth multi-parameter combined correction method for wave beam offset of waveguide slot antenna |
| CN111859255A (en) * | 2020-07-17 | 2020-10-30 | 中国人民解放军78125部队 | Radar detection range calculation method under influence of terrain shielding |
| CN112098958A (en) * | 2020-10-22 | 2020-12-18 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | Radar clutter prediction method based on digital map and meteorological hydrological information |
| CN113702402A (en) * | 2021-09-01 | 2021-11-26 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | Method for automatically calibrating azimuth and elevation angles of water vapor radiometer |
| CN114217278A (en) * | 2021-12-14 | 2022-03-22 | 齐鲁空天信息研究院 | Dynamic target-based amplitude and phase calibration method and system for phased array radar |
| CN115267711A (en) * | 2022-09-27 | 2022-11-01 | 成都信息工程大学 | Weather radar antenna directivity gross error calibration method and related product |
| CN116108703A (en) * | 2023-04-12 | 2023-05-12 | 中国人民解放军63921部队 | Correction method and device applied to beam pointing value of non-planar radome |
| CN116879857A (en) * | 2023-09-07 | 2023-10-13 | 成都远望科技有限责任公司 | Far-field target and radar central beam alignment method |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1881342A1 (en) * | 2006-07-20 | 2008-01-23 | Honeywell Inc. | System and method for estimating airborne radar antenna pointing errors |
| JP2009270957A (en) * | 2008-05-08 | 2009-11-19 | Ihi Corp | Laser radar, and calibration method of laser radar |
| CN102426355A (en) * | 2011-09-14 | 2012-04-25 | 北京航空航天大学 | Device and method for compensating laser emission pointing disturbance of airborne LADAR (Laser Detection and Ranging) |
| CN103064098A (en) * | 2012-12-28 | 2013-04-24 | 中国电子科技集团公司第五十四研究所 | Pointing deviation correction method for satellite navigation digital multi-beam launching array antenna |
| CN103576702A (en) * | 2013-11-22 | 2014-02-12 | 北京无线电测量研究所 | Method for calibrating antenna angle of millimeter-wave weather radar |
| CN105301564A (en) * | 2015-09-14 | 2016-02-03 | 上海无线电设备研究所 | Phased array antenna beam pointing error compensation method based on bilinear fitting |
| JP2018169190A (en) * | 2017-03-29 | 2018-11-01 | 日本無線株式会社 | Radar transmission beam calibration device, program, and method |
| CN109313262A (en) * | 2016-02-26 | 2019-02-05 | 伟摩有限责任公司 | Radar installation estimation is carried out using unstructured data |
-
2019
- 2019-07-02 CN CN201910587774.1A patent/CN110426690B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1881342A1 (en) * | 2006-07-20 | 2008-01-23 | Honeywell Inc. | System and method for estimating airborne radar antenna pointing errors |
| JP2009270957A (en) * | 2008-05-08 | 2009-11-19 | Ihi Corp | Laser radar, and calibration method of laser radar |
| CN102426355A (en) * | 2011-09-14 | 2012-04-25 | 北京航空航天大学 | Device and method for compensating laser emission pointing disturbance of airborne LADAR (Laser Detection and Ranging) |
| CN103064098A (en) * | 2012-12-28 | 2013-04-24 | 中国电子科技集团公司第五十四研究所 | Pointing deviation correction method for satellite navigation digital multi-beam launching array antenna |
| CN103576702A (en) * | 2013-11-22 | 2014-02-12 | 北京无线电测量研究所 | Method for calibrating antenna angle of millimeter-wave weather radar |
| CN105301564A (en) * | 2015-09-14 | 2016-02-03 | 上海无线电设备研究所 | Phased array antenna beam pointing error compensation method based on bilinear fitting |
| CN109313262A (en) * | 2016-02-26 | 2019-02-05 | 伟摩有限责任公司 | Radar installation estimation is carried out using unstructured data |
| JP2018169190A (en) * | 2017-03-29 | 2018-11-01 | 日本無線株式会社 | Radar transmission beam calibration device, program, and method |
Non-Patent Citations (2)
| Title |
|---|
| 李航舰等: "分布式星载SAR系统时间同步和波束同步误差分析", 《雷达学报》 * |
| 王建军等: "姿态角扰动对机载激光雷达点云数据的影响", 《仪器仪表学报》 * |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110940310B (en) * | 2019-11-15 | 2021-12-07 | 北京遥测技术研究所 | Calculation method for phased array antenna beam pointing angle of missile-borne relay measurement and control terminal |
| CN110940310A (en) * | 2019-11-15 | 2020-03-31 | 北京遥测技术研究所 | Calculation method for phased array antenna beam pointing angle of missile-borne relay measurement and control terminal |
| CN111366913A (en) * | 2020-03-24 | 2020-07-03 | 上海卫星工程研究所 | Calibration method for optical axis pointing measurement error of satellite-borne laser radar |
| CN111521882A (en) * | 2020-05-07 | 2020-08-11 | 清华大学 | On-orbit calibration method and device for beam pointing error of deep space probe antenna |
| CN111796246A (en) * | 2020-06-12 | 2020-10-20 | 中国船舶重工集团公司第七二四研究所 | Azimuth multi-parameter combined correction method for wave beam offset of waveguide slot antenna |
| CN111859255A (en) * | 2020-07-17 | 2020-10-30 | 中国人民解放军78125部队 | Radar detection range calculation method under influence of terrain shielding |
| CN112098958A (en) * | 2020-10-22 | 2020-12-18 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | Radar clutter prediction method based on digital map and meteorological hydrological information |
| CN112098958B (en) * | 2020-10-22 | 2022-04-26 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | Radar clutter prediction method based on digital map and meteorological hydrological information |
| CN113702402B (en) * | 2021-09-01 | 2023-08-01 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | Automatic calibration method for azimuth elevation angle of water vapor radiometer |
| CN113702402A (en) * | 2021-09-01 | 2021-11-26 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | Method for automatically calibrating azimuth and elevation angles of water vapor radiometer |
| CN114217278A (en) * | 2021-12-14 | 2022-03-22 | 齐鲁空天信息研究院 | Dynamic target-based amplitude and phase calibration method and system for phased array radar |
| CN115267711B (en) * | 2022-09-27 | 2023-02-28 | 成都信息工程大学 | Antenna directivity gross error calibration method, device, equipment and storage medium |
| CN115267711A (en) * | 2022-09-27 | 2022-11-01 | 成都信息工程大学 | Weather radar antenna directivity gross error calibration method and related product |
| CN116108703A (en) * | 2023-04-12 | 2023-05-12 | 中国人民解放军63921部队 | Correction method and device applied to beam pointing value of non-planar radome |
| CN116879857A (en) * | 2023-09-07 | 2023-10-13 | 成都远望科技有限责任公司 | Far-field target and radar central beam alignment method |
| CN116879857B (en) * | 2023-09-07 | 2023-11-17 | 成都远望科技有限责任公司 | Far-field target and radar central beam alignment method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110426690B (en) | 2022-10-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110426690A (en) | A kind of airborne weather radar beam position automatic calibrating method | |
| Ricker et al. | Sensitivity of CryoSat-2 Arctic sea-ice freeboard and thickness on radar-waveform interpretation | |
| Popescu et al. | Seeing the trees in the forest | |
| Capraro et al. | Implementing digital terrain data in knowledge-aided space-time adaptive processing | |
| CN102269809B (en) | Method for eliminating terrestrial clutters of airborne weather radar based on terrain altitude data | |
| CN104035095B (en) | Based on the low level wind shear velocity estimation method of optimal processor during sky | |
| US8816896B2 (en) | On-board INS quadratic correction method using maximum likelihood motion estimation of ground scatterers from radar data | |
| CN105842679A (en) | Made-in-China satellite laser altimeter on-orbit geometric calibration method and system | |
| CN104678369A (en) | Dual-polarization weather radar calibration method based on non-fixed metal ball | |
| CN106405513B (en) | Ground bounce removal method based on Multi Slice Mode comparison | |
| Bazzoffi | Measurement of rill erosion through a new UAV-GIS methodology | |
| CN113253233B (en) | Analysis processing method and system based on all-sky meteor radar signals | |
| CN104280566A (en) | Low altitude wind shear wind speed estimation method based on space-time amplitude and phase estimation | |
| EP2310872B1 (en) | Radar tracking system | |
| CN103487798A (en) | Method for measuring height of phase array radar | |
| CN105387842A (en) | Self-propulsion type submarine topography and landform mapping system and method based on perception driving | |
| CN103901430A (en) | Method for designing track of biostatic forward-looking SAR transmitter in diving stage | |
| Baumgartner et al. | Dual-platform large along-track baseline GMTI | |
| US9019145B1 (en) | Ground clutter rejection for weather radar | |
| Kim et al. | Overview of SEAHAWK: a Bathymetric LiDAR airborne mapping system for Localization in Korea | |
| CN103792519B (en) | A kind of spaceborne radar clock drift bearing calibration in-orbit based on source scaler | |
| Capraro et al. | Improved STAP performance using knowledge-aided secondary data selection | |
| Gueriot et al. | The patch test: a comprehensive calibration tool for multibeam echosounders | |
| Wheeler et al. | The GeoSAR airborne mapping system | |
| CN104914421A (en) | Low-altitude wind shear wind speed estimating method based on sum-difference beam |
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 |