CN109143182A - A kind of multiple dimensioned radar block plan immediate processing method - Google Patents
A kind of multiple dimensioned radar block plan immediate processing method Download PDFInfo
- Publication number
- CN109143182A CN109143182A CN201811049480.5A CN201811049480A CN109143182A CN 109143182 A CN109143182 A CN 109143182A CN 201811049480 A CN201811049480 A CN 201811049480A CN 109143182 A CN109143182 A CN 109143182A
- Authority
- CN
- China
- Prior art keywords
- clutter
- res
- block plan
- radar
- resolution
- 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
- G01S7/36—Means for anti-jamming, e.g. ECCM, i.e. electronic counter-counter measures
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention discloses a kind of multiple dimensioned radar block plan immediate processing method, this method supports radar block plan information editing, obtains radar on-line/off-line block plan information, by the way that high/medium/low three-level thresholding is arranged, realizes that static clutter information is quickly edited.This method realizes under complex environment, the Rapid input of the Clutter Classifications information such as ground clutter, meteorology, interference, target, guarantee real-time, the quick monitoring and amendment to radar external environmental information, provides real-time, accurate battle field situation for intelligence radar information processing.
Description
Technical field
The present invention relates to a kind of multiple dimensioned radar block plan immediate processing methods.
Background technique
Radar return not only includes a large amount of target information, while also including ground clutter, sea clutter, meteorological clutter, doing
The information such as disturb.In radar work, usually the clutter echo amplitude in ambient enviroment is had according to distance and bearing two-dimensional surface
It stores to sequence, to establish clutter map.By carrying out clutter subregion to clutter strength distribution, different clutter partitioned areas are adopted
With different object detection methods, best detection performance is ensured.
Existing block plan mostly uses the background clutter power that each range-azimuth unit is stored using clutter map, to not
Estimated value with the scan period makees iteration average treatment respectively, calculates clutter background valuation, haves the shortcomings that following:
(1) strong to environmental factor dependence, when weather condition is severe, or there are under a large amount of disturbed conditions, it is difficult to which it is accurate to obtain
Subregion diagram data.
(2) existing block plan subregion is all based on signal amplitude and rises and falls and updates, when, there are when point target, will affect in clutter
The correct valuation of clutter map.
(3) estimated value in different scanning period makees clutter power estimation of the iteration suitable for Rayleigh Clutter background respectively, multiple
It needs to consider the amplitude scintillation variation between different cycles under miscellaneous background, increases the difficulty of clutter G- Design.
Summary of the invention
Based on problem of the prior art, carrying out editor and amendment to block plan seems particularly significant, in particular for one kind
The quick edit methods of block plan, to ensure that the performance of signal processing normally plays.The purpose of the present invention is design a kind of algorithm
Simply, strong applicability, a kind of block plan edit methods for working well and being suitble to Project Realization.
The implementation steps of the present invention program are as follows:
Step 1, it calculates radar parameter: according to the operating mode and system parameter of radar, setting radar maximum detection range
Rmax (generally 400km), radar clutter block plan distance Nr and localizer unit number Na, and calculate radar clutter block plan away from
From resolution cell RngRes, azimuth discrimination unit AziRes；Wherein, Rng Res=R max/Nr, Azi Res=360/Na；
Step 2, setting clutter is classified thresholding: clutter map unit being divided into more than two resolution levels, according to clutter
The model split of figure resolution ratio from low to high, n-th of resolution level are denoted as RES-n；
Step 3, clutter subregion diagram data is obtained, (Plan Position Indicator, flat-panel screens are with PPI
The most common radar asorbing paint mode) mode shows；Meanwhile display scale factor R uler is set and records radar data display picture
Scaling, the resolution level n of current picture, and the display distance grid on PPI picture are determined according to the display scale factor
Line RiWith orientation grid lines Aj:
Step 4, edit block plan, according to from entirety to part, from big to small, from low resolution level to high-resolution level
Since principle edit block plan, zoom factor Ruler≤2 at this time differentiating level RES-1；It completes to differentiate level RES-1's
The editor of block plan realizes rough subregion；Amplify PPI clutter block plan, when 2 Ruler≤5 <, into resolution level RES-2's
Block plan editor, grid becomes comparatively dense at this time, completes the detailed subregion in clutter region；Continue to amplify, as Ruler >=5, into
Enter to differentiate the block plan editor of level RES-3, grid becomes very intensive at this time, the fine subregion suitable for clutter region.
Step 5, it saves block plan: saving final block plan information, pass to signal processing use.
In step 2, clutter map unit is divided into three resolution levels, is denoted as RES-1, RES-2, RES-3 respectively,
In,
Under first resolution level RES-1, a resolution cell corresponding region is 500*RngRes, 16*AziRes；
Under second resolution level RES-2, a resolution cell corresponding region is 100*RngRes, 4*AziRes；
Third is differentiated under level RES-3, and a resolution cell corresponding region is 10*RngRes, AziRes.
Include: in step 3
Step 3-1 then carries out grid according to the first resolution layer RES-1 and shows, at this time when display scale coefficients R uler≤2
The display distance grid lines R on PPI pictureiWith orientation grid lines AjIt is respectively as follows:
Ri=i*500*Rng Res, i=1,2 ..., Nr/500,
Aj=j*16*AziRes, j=1,2 ..., Na/16；
Step 3-2 then carries out grid according to the second resolution layer RES-2 and shows when 2 Ruler≤5 < of display scale coefficient,
The display distance grid lines R on PPI picture at this timeiWith orientation grid lines AjIt is respectively as follows:
Ri=i*100*Rng Res, i=1,2 ..., Nr/100,
Aj=j*4*AziRes, j=1,2 ..., Na/4；
Step 3-3 then differentiates layer RES-3 progress grid according to third and shows, at this time when display scale coefficients R uler >=5
The display distance grid lines R on PPI pictureiWith orientation grid lines AjIt is respectively as follows:
Ri=i*10*Rng Res, i=1,2 ..., Nr/10,
Aj=j*AziRes, j=1,2 ..., Na.
Step 4 includes the following steps:
Step 4-1 completes the editor for differentiating the block plan of level RES-1, selects block plan when zoom factor Ruler≤2
In fan-shaped region, and be filled with the color of corresponding clutter zone attribute, realize rough subregion, wherein single fan-shaped region is corresponding
1*1 apart from azimuth discrimination unit；
Step 4-2 amplifies PPI clutter block plan, when 2 Ruler≤5 <, compiles into the block plan for differentiating level RES-2
Volume, grid becomes comparatively dense at this time, and single fan-shaped region is filled with to the color of corresponding clutter zone attribute, completes clutter region
Detailed subregion；
Step 4-3 continues to amplify PPI radar data, as Ruler >=5, compiles into the block plan for differentiating level RES-3
Volume, grid becomes very intensive at this time, and single fan-shaped region is filled with to the color of corresponding clutter zone attribute, is suitable for clutter
The fine subregion in region.
In step 4-1, the clutter zone attribute is noise, land clutter, interference, meteorology, angel, sea clutter.
Compared with prior art, the present invention having following remarkable advantage:
(1) this method overcomes the influence of weather, can accurately identify Radar Clutter Background under any weather condition,
Obtain radar fine day figure.(2) when there are point target and Communication Jamming, this method can be quasi- according to point target amplitude and orientation point
Cloth feature rejects point target, and the spatial distribution according to Communication Jamming rejects interference, obtains accurate fine day figure valuation.(3) this hair
A kind of bright quick edit methods of radar block plan, principle is simple, and design is convenient, and real-time is good, is suitble to Project Realization.
Detailed description of the invention
The present invention is done with reference to the accompanying drawings and detailed description and is further illustrated, it is of the invention above-mentioned or
Otherwise advantage will become apparent.
Fig. 1 is the process flow diagram of multiple dimensioned clutter block plan.
Fig. 2 is clutter block plan first order editor figure.
Fig. 3 is clutter block plan second level editor figure.
Fig. 4 is clutter block plan third level editor figure.
Fig. 5 is clutter block plan final effect figure.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and embodiments.
The method of the present invention the following steps are included:
1. calculating radar parameter: according to the operating mode and system parameter of radar, radar maximum detection range Rmax is set,
Radar clutter block plan distance Nr, localizer unit number Na, and calculate radar clutter block plan Range resolution unit R ngRes, side
The parameters such as position resolution cell AziRes.Wherein, Rng Res=Rmax/Nr, AziRes=360/Na.
2. clutter is classified threshold sets: clutter map unit is divided into three resolutions level RES-1, RES-2, RES-3, point
Resolution from low to high, then:
RES-1: one resolution cell corresponding region is 500*RngRes, 16*AziRes；
RES-2: one resolution cell corresponding region is 100*RngRes, 4*AziRes；
RES-3: one resolution cell corresponding region is 10*RngRes, AziRes；
3. block plan obtains: by establishing communication network with signal processing, initiating block plan data acquisition request, obtain online
Clutter subregion diagram data is taken, and is shown in a manner of PPI.The resolution level of current picture is determined according to display scale coefficients R uler
N, and the display distance grid lines R on PPI pictureiWith orientation grid lines Aj.Original state, current resolution grade are RES-1,
Current partition figure center P (0,0), display scale factor R uler=1.
(1) when display scale coefficients R uler≤2, then grid is carried out according to the first resolution layer RES-1 and shown, at this time in PPI
Display distance grid lines R on pictureiWith orientation grid lines AjIt is respectively as follows:
Ri=i*500*Rng Res, i=1,2 ..., Nr/500,
Aj=j*16*AziRes, j=1,2 ..., Na/16；
(2) when 2 Ruler≤5 < of display scale coefficient, then grid is carried out according to the second resolution layer RES-2 and shown, existed at this time
Display distance grid lines R on PPI pictureiWith orientation grid lines AjIt is respectively as follows:
Ri=i*100*Rng Res, i=1,2 ..., Nr/100,
Aj=j*4*AziRes, j=1,2 ..., Na/4；
(3) when display scale coefficients R uler >=5, then layer RES-3 progress grid is differentiated according to third and shown, at this time in PPI
Display distance grid lines R on pictureiWith orientation grid lines AjIt is respectively as follows:
Ri=i*10*Rng Res, i=1,2 ..., Nr/10,
Aj=j*AziRes, j=1,2 ..., Na.
4. block plan is quickly edited: according to from entirety to part, from big to small, from low resolution level to high-resolution level
Since principle edit block plan differentiating level RES-1.
(1) when zoom factor Ruler≤2, the editor for differentiating the block plan of level RES-1 is completed, is selected in block plan
Fan-shaped region (single fan-shaped region correspond to 1*1 apart from azimuth discrimination unit), and it is filled with the face of corresponding clutter zone attribute
Color realizes rough subregion；
(2) amplify PPI clutter block plan, when 2 Ruler≤5 <, into the block plan editor for differentiating level RES-2, at this time
Grid becomes comparatively dense, and single fan-shaped region is filled with to the color of corresponding clutter zone attribute, completes the detailed of clutter region
Subregion；
(3) continue amplify PPI radar data, as Ruler >=5, into differentiate level RES-3 block plan editor, this
When grid become very intensive, single fan-shaped region is filled with to the color of corresponding clutter zone attribute, is suitable for clutter region
Fine subregion.As shown in Figure 4.
By switching between three levels, completes block plan and quickly edit.
5. saving block plan: saving final block plan information, pass to signal processing use, as shown in Figure 5.
Further detailed description is done to the present invention below with reference to embodiment:
Embodiment:
1. pair XX radar measured data is analyzed, radar works in MTD system, Range resolution unit 150m, distance unit
3250 (total 487.5km), acquire data word length 8 (0-255) by 6 revs/min of antenna scanning, pulse recurrence frequency 300Hz
It is 128 localizer units, clutter block plan Range resolution 150m, distance unit number by 360 ° of region divisions of radar scanning
3250, fine day figure azimuth discrimination 360 °/128.
2. clutter is classified threshold sets: clutter map unit is divided into three resolutions level RES-1, RES-2, RES-3, point
Resolution from low to high, then:
RES-1: correspond to 500*RngRes, 16*AziRes；
RES-2: correspond to 100*RngRes, 4*AziRes；
RES-3: correspond to 10*RngRes, AziRes；
3. block plan obtains: by establishing communication network with signal processing, initiating block plan data acquisition request, obtain online
Clutter subregion diagram data is taken, and is shown in a manner of PPI.Current resolution grade be RES-1, current partition figure center P (0,
0), display scale factor R uler=1.
(1) when display scale coefficients R uler≤2, then grid is carried out according to the first resolution layer RES-1 and shown, at this time in PPI
Display distance grid lines R on pictureiWith orientation grid lines AjRespectively 75km and 45 °；
(2) when 2 Ruler≤5 < of display scale coefficient, then grid is carried out according to the second resolution layer RES-2 and shown, existed at this time
Display distance grid lines R on PPI pictureiWith orientation grid lines AjRespectively 15km and 11.25 °；
(3) when display scale coefficients R uler >=5, then layer RES-3 progress grid is differentiated according to third and shown, at this time in PPI
Display distance grid lines R on pictureiWith orientation grid lines AjRespectively 1.5km and 2.8125 °.
4. block plan is quickly edited:
(1) when zoom factor Ruler≤2, the editor for differentiating the block plan of level RES-1 is completed, is selected in block plan
Fan-shaped region (single fan-shaped region correspond to 1*1 apart from azimuth discrimination unit), and it is filled with the face of corresponding clutter zone attribute
Color realizes rough subregion；
(2) amplify PPI clutter block plan, when 2 Ruler≤5 <, into the block plan editor for differentiating level RES-2, at this time
Grid becomes comparatively dense, and single fan-shaped region is filled with to the color of corresponding clutter zone attribute, completes the detailed of clutter region
Subregion；
(3) continue amplify PPI radar data, as Ruler >=5, into differentiate level RES-3 block plan editor, this
When grid become very intensive, single fan-shaped region is filled with to the color of corresponding clutter zone attribute, is suitable for clutter region
Fine subregion.As shown in Figure 4.
By switching between three levels, completes block plan and quickly edit.
5. saving block plan: saving final block plan information, pass to signal processing use, as shown in Figure 5.
It can be seen that a kind of quick edit methods of radar block plan, support radar block plan information editing, obtains radar and exist
Line/offline block plan information is realized that static clutter information is quickly edited, is realized multiple by the way that high/medium/low three-level thresholding is arranged
Under heterocycle border, the Rapid input of the Clutter Classifications information such as ground clutter, meteorology, interference, target guarantees to believe radar external environment
Real-time, the quick monitoring and amendment of breath provide real-time, accurate battle field situation for intelligence radar information processing.
The present invention provides a kind of multiple dimensioned radar block plan immediate processing methods, implement the side of the technical solution
There are many method and approach, the above is only a preferred embodiment of the present invention, it is noted that for the common skill of the art
For art personnel, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications
Also it should be regarded as protection scope of the present invention.All undefined components in this embodiment can be implemented in the prior art.
Claims (5)
1. a kind of multiple dimensioned radar block plan immediate processing method, which comprises the steps of:
Step 1, it calculates radar parameter: according to the operating mode and system parameter of radar, setting radar maximum detection range Rmax,
Radar clutter block plan distance Nr and localizer unit number Na, and calculate radar clutter block plan Range resolution unit R ngRes,
Azimuth discrimination unit AziRes；Wherein, RngRes=Rmax/Nr, AziRes=360/Na；
Step 2, setting clutter is classified thresholding: clutter map unit being divided into more than two resolution levels, according to clutter map point
The model split of resolution from low to high, n-th of resolution level are denoted as RES-n；
Step 3, clutter subregion diagram data is obtained, is shown in a manner of PPI；Meanwhile display scale factor R uler is set and records radar
The scaling of data displaying picture determines the resolution level n of current picture according to the display scale factor, and on PPI picture
Display distance grid lines RiWith orientation grid lines Aj:
Step 4, edit block plan, according to from entirety to part, from big to small, from it is low resolution level to high-resolution level original
Then, block plan, zoom factor Ruler≤2 at this time are edited since differentiating level RES-1；It completes to differentiate dividing for level RES-1
The editor of area's figure realizes rough subregion；Amplify PPI clutter block plan, when 2 Ruler≤5 <, into point for differentiating level RES-2
Area figure editor, grid becomes comparatively dense at this time, completes the detailed subregion in clutter region；Continue to amplify, as Ruler >=5, enter
The block plan editor of level RES-3 is differentiated, grid becomes very intensive at this time, the fine subregion suitable for clutter region.
Step 5, it saves block plan: saving final block plan information, pass to signal processing use.
2. the method according to claim 1, wherein in step 2, clutter map unit is divided into three resolutions
Level is denoted as RES-1, RES-2, RES-3 respectively, wherein
Under first resolution level RES-1, a resolution cell corresponding region is 500*RngRes, 16*AziRes；
Under second resolution level RES-2, a resolution cell corresponding region is 100*RngRes, 4*AziRes；
Third is differentiated under level RES-3, and a resolution cell corresponding region is 10*RngRes, AziRes.
3. according to the method described in claim 2, it is characterized in that, including: in step 3
Step 3-1 then carries out grid according to the first resolution layer RES-1 and shows, exist at this time when display scale coefficients R uler≤2
Display distance grid lines R on PPI pictureiWith orientation grid lines AjIt is respectively as follows:
Ri=i*500*RngRes, i=1,2 ..., Nr/500,
Aj=j*16*AziRes, j=1,2 ..., Na/16；
Step 3-2 then carries out grid according to the second resolution layer RES-2 and shows, at this time when 2 Ruler≤5 < of display scale coefficient
The display distance grid lines R on PPI pictureiWith orientation grid lines AjIt is respectively as follows:
Ri=i*100*RngRes, i=1,2 ..., Nr/100,
Aj=j*4*AziRes, j=1,2 ..., Na/4；
Step 3-3 then differentiates layer RES-3 progress grid according to third and shows, exist at this time when display scale coefficients R uler >=5
Display distance grid lines R on PPI pictureiWith orientation grid lines AjIt is respectively as follows:
Ri=i*10*RngRes, i=1,2 ..., Nr/10,
Aj=j*AziRes, j=1,2 ..., Na.
4. according to the method described in claim 3, it is characterized in that, step 4 includes the following steps:
Step 4-1 completes the editor for differentiating the block plan of level RES-1, selects in block plan when zoom factor Ruler≤2
Fan-shaped region, and it is filled with the color of corresponding clutter zone attribute, rough subregion is realized, wherein single fan-shaped region corresponds to 1*1
Apart from azimuth discrimination unit；
Step 4-2 amplifies PPI clutter block plan, when 2 Ruler≤5 <, into the block plan editor for differentiating level RES-2, this
When grid become comparatively dense, single fan-shaped region is filled with to the color of corresponding clutter zone attribute, completes the detailed of clutter region
Segment area；
Step 4-3, continue amplify PPI radar data, as Ruler >=5, into differentiate level RES-3 block plan editor, this
When grid become very intensive, single fan-shaped region is filled with to the color of corresponding clutter zone attribute, is suitable for clutter region
Fine subregion.
5. according to the method described in claim 4, it is characterized in that, in step 4-1, the clutter zone attribute be noise,
Clutter, interference, meteorology, angel, sea clutter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811049480.5A CN109143182B (en) | 2018-09-10 | 2018-09-10 | A kind of multiple dimensioned radar block plan immediate processing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811049480.5A CN109143182B (en) | 2018-09-10 | 2018-09-10 | A kind of multiple dimensioned radar block plan immediate processing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109143182A true CN109143182A (en) | 2019-01-04 |
| CN109143182B CN109143182B (en) | 2019-06-07 |
Family
ID=64824327
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811049480.5A Active CN109143182B (en) | 2018-09-10 | 2018-09-10 | A kind of multiple dimensioned radar block plan immediate processing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109143182B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109814071A (en) * | 2019-03-19 | 2019-05-28 | 安徽雷炎电子科技有限公司 | One kind is based on region thresholding method for rapidly converging and its application under complex environment |
| CN110161473A (en) * | 2019-05-08 | 2019-08-23 | 南京莱斯电子设备有限公司 | It is a kind of based on primitive clutter map and the clutter map of figure layer detection and update method |
| CN111736157A (en) * | 2020-08-26 | 2020-10-02 | 蔻斯科技(上海)有限公司 | PPI data-based prediction method and device for nowcasting |
| CN114488107A (en) * | 2022-04-13 | 2022-05-13 | 南方海洋科学与工程广东省实验室(广州) | Method and device for sea clutter space-time distribution and influence grading product manufacturing |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103323850A (en) * | 2013-05-28 | 2013-09-25 | 芜湖航飞科技股份有限公司 | Double-linear polarization Doppler weather radar system |
| CN105242273A (en) * | 2015-05-26 | 2016-01-13 | 芜湖航飞科技股份有限公司 | X-band dual-polarization Doppler weather radar system |
| CN105372636A (en) * | 2015-12-14 | 2016-03-02 | 四川九洲空管科技有限责任公司 | Adaptive forgetting factor-based clutter image update method and apparatus |
-
2018
- 2018-09-10 CN CN201811049480.5A patent/CN109143182B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103323850A (en) * | 2013-05-28 | 2013-09-25 | 芜湖航飞科技股份有限公司 | Double-linear polarization Doppler weather radar system |
| CN105242273A (en) * | 2015-05-26 | 2016-01-13 | 芜湖航飞科技股份有限公司 | X-band dual-polarization Doppler weather radar system |
| CN105372636A (en) * | 2015-12-14 | 2016-03-02 | 四川九洲空管科技有限责任公司 | Adaptive forgetting factor-based clutter image update method and apparatus |
Non-Patent Citations (1)
| Title |
|---|
| 焦飞 等: ""图形图像技术在雷达图处理中的应用研究"", 《电脑知识与技术》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109814071A (en) * | 2019-03-19 | 2019-05-28 | 安徽雷炎电子科技有限公司 | One kind is based on region thresholding method for rapidly converging and its application under complex environment |
| CN109814071B (en) * | 2019-03-19 | 2023-08-29 | 安徽雷炎电子科技有限公司 | Regional threshold rapid convergence method based on complex environment and application thereof |
| CN110161473A (en) * | 2019-05-08 | 2019-08-23 | 南京莱斯电子设备有限公司 | It is a kind of based on primitive clutter map and the clutter map of figure layer detection and update method |
| WO2020224180A1 (en) * | 2019-05-08 | 2020-11-12 | 南京莱斯电子设备有限公司 | Clutter map detection and update method based on primitive clutter map and layer |
| CN111736157A (en) * | 2020-08-26 | 2020-10-02 | 蔻斯科技(上海)有限公司 | PPI data-based prediction method and device for nowcasting |
| CN111736157B (en) * | 2020-08-26 | 2021-01-05 | 蔻斯科技(上海)有限公司 | PPI data-based prediction method and device for nowcasting |
| CN114488107A (en) * | 2022-04-13 | 2022-05-13 | 南方海洋科学与工程广东省实验室(广州) | Method and device for sea clutter space-time distribution and influence grading product manufacturing |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109143182B (en) | 2019-06-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109143182B (en) | A kind of multiple dimensioned radar block plan immediate processing method | |
| CN111583214B (en) | Sea surface wind speed inversion method based on RBF neural network and based on marine radar image | |
| CN106569208A (en) | Clutter map-based airport runway foreign matter detection method | |
| CN102508219B (en) | Turbulent current target detection method of wind profiler radar | |
| DE69621154T2 (en) | TRACKING PROCEDURE FOR RADAR SYSTEM | |
| CN102628944B (en) | Stratus cloud and convective cloud automatic recognition method based on Doppler radar data | |
| CN104360324B (en) | A kind of clutter map partition method based on image procossing | |
| CN105487076B (en) | A kind of millimeter wave cloud radar dense fog visibility inversion method and system | |
| CN108562879A (en) | Shipborne radar CFAR detection method based on FPGA | |
| CN105372636B (en) | A kind of clutter map update method and device based on adaptive forgetting factor | |
| CN103217673B (en) | CFAR detecting method under inhomogeneous Weibull clutter background | |
| CN109946694A (en) | Circumference SAR multi-object tracking method based on stochastic finite collection | |
| CN101872484B (en) | Method for detecting self-adaptive growth of a plurality of dim target tracks in image domain | |
| CN107015221B (en) | A kind of low false alarm rate fast target detection method for ground surveillance radar | |
| CN111796288B (en) | Clutter frequency spectrum compensation technology-based three-coordinate radar moving target processing method | |
| CN105717491B (en) | The prediction technique and prediction meanss of Weather Radar image | |
| CN110109067B (en) | Ground-based FMCW region monitoring radar data processing method | |
| CN109856608A (en) | A kind of high confidence rate detection method of radar target based on recurrence clutter map | |
| CN108414992A (en) | A kind of object detection method based on phase information clutter map | |
| CN105116393A (en) | Method for estimating flight height of high-altitude object and radar sectional area based on position fingerprint | |
| CN105844644B (en) | Extra large land clutter Scene Segmentation based on morphology intermediate value derivative | |
| CN108196238A (en) | Clutter map detection method based on adaptive matched filter under Gaussian background | |
| DE10352738A1 (en) | Method for passively determining target data | |
| CN112213708B (en) | Shore-based sea clutter observation method | |
| CN108387879A (en) | Value detection method in clutter map unit based on adaptive normalization matched filtering |
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 |