CN102305930A - Method for inhibiting precipitation clutter in radar echo - Google Patents
Method for inhibiting precipitation clutter in radar echo Download PDFInfo
- Publication number
- CN102305930A CN102305930A CN201110146009A CN201110146009A CN102305930A CN 102305930 A CN102305930 A CN 102305930A CN 201110146009 A CN201110146009 A CN 201110146009A CN 201110146009 A CN201110146009 A CN 201110146009A CN 102305930 A CN102305930 A CN 102305930A
- Authority
- CN
- China
- Prior art keywords
- clutter
- precipitation
- radar return
- signal
- target
- 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
Images
Landscapes
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention discloses a method for inhibiting precipitation clutter in radar echo, which comprises the following steps of: firstly, inputting a radar echo image, carrying out mode matching on the radar echo image according to a precipitation noise distributing formula and recognizing the distributing areas of different signals; secondly, marking a suspected target in a dye spot way according to the distributing characteristics of clutter in different signal areas; then, separating a suspected precipitation clutter signal by a filter and carrying out precipitation clutter recognition on the separated suspected precipitation clutter signal; after carrying out secondary scanning separation on a hidden small target in the precipitation clutter, transmitting a non-precipitation clutter small target to the radar echo image in which the target signal is located; meanwhile, filtering the recognized precipitation clutter; and finally, after properly strengthening the target signal in the processed radar echo image, inputting the target signal into a display system. The invention can carry out effective clutter removal on the radar echo image in severe weather, such as precipitation, and the like.
Description
Technical field
The present invention relates to a kind of clutter suppression method, a kind of specifically method that suppresses precipitation clutter in the radar return.
Background technology
The ultimate principle of radar is simple relatively, and it is worked with the mode of the echo of electromagnetic radiation energy and detection of reflected body (target) reflection.The characteristic of echoed signal provides the information of relevant target.Can get range-to-go through the measuring radiation energy transmission to target and time of returning.Target direction direction of passage property antenna (antenna with narrow beam) is measured the angle of arrival of echoed signal and is identified.
Transmitting and receiving in the process at radar microwave; Because the sleet that natural cause produces makes radar microwave in transmitting and receiving process, have clutter and produces, particularly echo; Because the existence of precipitation clutter has caused certain puzzlement to professional's Analysis of Radar echo.The tradition navar adopts the mode of mimic channel wave filter that signal noise is carried out noise reduction process more.But such processing mode is difficult to distinguish little target and clutter.According to the reality test, under the bigger environment of sleet influence, traditional wave filter can be with closely little target and together filtering of clutter.Such processing has influenced the crewman greatly to the judgement of target on every side, has increased the navigation risk.
Summary of the invention
The objective of the invention is defective, the method for precipitation clutter in strong, the effective inhibition radar return of a kind of application is provided to prior art.
The objective of the invention is to solve through following technical scheme:
A kind of method that suppresses precipitation clutter in the radar return, described method step is following:
(1) scanning radar echo obtains the radar return image;
(2) on the basis of radar return image, according to the precipitation noise distribution formula radar return image is carried out pattern match, identify the distributed areas of unlike signal;
(3), suspected target is used the mode mark of stain according to the clutter distribution character in unlike signal zone;
(4) use filtrator that doubtful precipitation clutter signal is separated;
(5) isolated doubtful precipitation clutter signal is carried out precipitation clutter identification; And the hiding little target of precipitation clutter wherein carried out rescan; According to scanning information; Further separate the little target of non-precipitation clutter in the precipitation clutter and the little target of non-precipitation clutter transferred back in the radar return image at echo signal place, simultaneously with the precipitation clutter filtering that identifies;
(6) echo signal in the radar return image after will handling is input in the display system after suitably strengthening.
Precipitation noise distribution formula in the said step (2) is:
Wherein, P is the echo strength value; σ
NBe this circle echo strength parameter; σ
N-1Be last circle echo strength parameter; M is the distance of analyzing spot range sweep image center; λ is a wavelength.
Precipitation noise distribution formula in the said step (2) is:
Wherein, f (x) is the sleet intensity level; μ=0; σ=1.8; X representes the distance of analyzing spot apart from radar center.
Signal distributions zone in the said step (2) is the rectangular distribution zone, circular distribution is regional and the polygon distributed areas.
Clutter distribution character in the said step (3) is meant: closely clutter is similar to normal distribution, and remote clutter is similar to rayleigh distributed.
Precipitation clutter RM in the said step (5) is: at first judge precipitation clutter through the clutter distribution curve and concentrate the appearance zone; In the zone, find out the strongest impact point of reflection then,, find out the little target in the clutter through reduction to target around the strong impact point; Judge through the relevant accumulation of frame at last, confirm little target.
The present invention compares prior art has following advantage:
Form and the echo attenutation specificity analysis thereof of the present invention through sleet is produced; Utilize the advanced algorithm in the data mining; The radar return image is carried out pattern match; The echo that will meet the sleet characteristic then carries out discrete processes, thereby progressively weakens the sleet echo, reaches the purpose that precipitation clutter suppresses; And because therefore target echo longer duration, densely distributed can be gone out by algorithm identified, and effectively strengthen little target.
The present invention can carry out effective clutter to the echo under inclement weathers such as heavy rain or heavy snow and remove, and has very strong application, and can handle for association areas such as ocean research, marine navigation specialty researchist provides effective radar image.
Description of drawings
Accompanying drawing 1 is untreated radar return image;
Accompanying drawing 2 is the radar return image after handling;
Accompanying drawing 3 is the image after the medium and small target of radar return image strengthens;
Accompanying drawing 4 is the distribution curve synoptic diagram of clutter;
Accompanying drawing 5 is a schematic flow sheet of the present invention.
Embodiment
Below in conjunction with accompanying drawing and embodiment the present invention is further described.
Shown in Fig. 1-5: a kind of method that suppresses precipitation clutter in the radar return, this method step is following: scanning radar echo at first obtains the radar return image; Then on the basis of radar return image; According to the precipitation noise distribution formula:
be
perhaps; The radar return image is carried out pattern match, identify the distributed areas of rectangle, circle and polygon signal; Then the closely clutter according to the unlike signal zone is similar to normal distribution, clutter is similar to the distribution character of rayleigh distributed at a distance, suspected target is used the mode mark of stain; The 4th step used filtrator that doubtful precipitation clutter signal is separated; The 5th step was carried out precipitation clutter identification to isolated doubtful precipitation clutter signal: judge precipitation clutter through the clutter distribution curve earlier and concentrate the appearance zone; Then in the zone, find out the strongest impact point of reflection and pass through reduction target around the strong impact point; Find out the little target in the clutter, judge through the relevant accumulation of frame then, confirm and separate little target; And little target transferred back in the radar return image at echo signal place, simultaneously with the precipitation clutter filtering that identifies; Echo signal in the radar return image after will handling at last is input in the display system after suitably strengthening.
The present invention in use; Accompanying drawing 1 is the radar return image before and after handling with accompanying drawing 2, and wherein white portion is a radar return, can know through contrast accompanying drawing 1 and the white portion in the accompanying drawing 2; White portion in the accompanying drawing 2 is strengthened greatly, and promptly the part clutter in the radar return is disallowable; Can know that through contrast accompanying drawing 1 and the data in the accompanying drawing 2 precipitation clutter in the radar echo signal is attenuated to 2 by 235 simultaneously.Can know by above analysis; Form and the echo attenutation specificity analysis thereof of the present invention through sleet is produced; Utilize the advanced algorithm in the data mining, the radar return image is carried out pattern match, the echo that will meet the sleet characteristic then carries out discrete processes; Thereby weaken the sleet echo, reach the purpose that precipitation clutter suppresses; And because therefore target echo longer duration, densely distributed can be gone out by algorithm identified, and effectively strengthen little target, strengthened little target is shown in the white portion among Fig. 3.
Claims (6)
1. method that suppresses precipitation clutter in the radar return is characterized in that described method step is following:
(1) scanning radar echo obtains the radar return image;
(2) on the basis of radar return image, according to the precipitation noise distribution formula radar return image is carried out pattern match, identify the distributed areas of unlike signal;
(3), suspected target is used the mode mark of stain according to the distribution character of unlike signal zone clutter;
(4) use filtrator that doubtful precipitation clutter signal is separated;
(5) isolated doubtful precipitation clutter signal is carried out precipitation clutter identification; And the hiding little target of precipitation clutter wherein carried out rescan; According to scanning information; Further separate the little target of non-precipitation clutter in the precipitation clutter and the little target of non-precipitation clutter transferred back in the radar return image at echo signal place, simultaneously with the precipitation clutter filtering that identifies;
(6) echo signal in the radar return image after will handling is input in the display system after suitably strengthening.
2. the method for precipitation clutter in the inhibition radar return according to claim 1 is characterized in that the precipitation noise distribution formula in the said step (2) is:
Wherein, P is the echo strength value; σ
NBe this circle echo strength parameter; σ
N-1Be last circle echo strength parameter; M is the distance of analyzing spot range sweep image center; λ is a wavelength.
3. the method for precipitation clutter in the inhibition radar return according to claim 1 is characterized in that the precipitation noise distribution formula in the said step (2) is:
Wherein, f (x) is the sleet intensity level; μ=0; σ=1.8; X representes the distance of analyzing spot apart from radar center.
4. the method for precipitation clutter in the inhibition radar return according to claim 1 is characterized in that the signal distributions zone in the said step (2) is the rectangular distribution zone, circular distribution is regional and the polygon distributed areas.
5. the method for precipitation clutter in the inhibition radar return according to claim 1, it is characterized in that the clutter distribution character in the said step (3) is meant: closely clutter is similar to normal distribution, and remote clutter is similar to rayleigh distributed.
6. the method for precipitation clutter in the inhibition radar return according to claim 1 is characterized in that the precipitation clutter RM in the said step (5) is: at first judge precipitation clutter through the clutter distribution curve and concentrate the appearance zone; In the zone, find out the strongest impact point of reflection then,, find out the little target in the clutter through reduction to target around the strong impact point; Judge through the relevant accumulation of frame at last, confirm little target.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110146009 CN102305930B (en) | 2011-06-01 | 2011-06-01 | Method for inhibiting precipitation clutter in radar echo |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110146009 CN102305930B (en) | 2011-06-01 | 2011-06-01 | Method for inhibiting precipitation clutter in radar echo |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102305930A true CN102305930A (en) | 2012-01-04 |
| CN102305930B CN102305930B (en) | 2013-03-27 |
Family
ID=45379806
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201110146009 Active CN102305930B (en) | 2011-06-01 | 2011-06-01 | Method for inhibiting precipitation clutter in radar echo |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102305930B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103323834A (en) * | 2012-03-21 | 2013-09-25 | 富士通天株式会社 | Radar device and signal processing method |
| CN106546985A (en) * | 2015-09-17 | 2017-03-29 | 古野电气株式会社 | Radar installations |
| CN109100807A (en) * | 2018-09-18 | 2018-12-28 | 国电大渡河流域水电开发有限公司 | Automatically cleaning sleet sensing device |
| WO2020142939A1 (en) * | 2019-01-09 | 2020-07-16 | 深圳市大疆创新科技有限公司 | Echo signal processing method and device and storage medium |
| CN111738932A (en) * | 2020-05-13 | 2020-10-02 | 合肥师范学院 | Automatic rain removing method for photographed image of vehicle-mounted camera |
| CN112881988A (en) * | 2021-01-11 | 2021-06-01 | 西北工业大学 | Clutter simulation display method in navigation radar simulation training system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6937185B1 (en) * | 2003-08-14 | 2005-08-30 | Lockheed Martin Corporation | Rain versus target discrimination for doppler radars |
| CN101452075A (en) * | 2008-12-30 | 2009-06-10 | 北京航空航天大学 | At-sea small target detecting method based on average period |
-
2011
- 2011-06-01 CN CN 201110146009 patent/CN102305930B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6937185B1 (en) * | 2003-08-14 | 2005-08-30 | Lockheed Martin Corporation | Rain versus target discrimination for doppler radars |
| CN101452075A (en) * | 2008-12-30 | 2009-06-10 | 北京航空航天大学 | At-sea small target detecting method based on average period |
Non-Patent Citations (1)
| Title |
|---|
| 齐国清等: "抑制雷达杂波的最新信号处理系统", 《大连海事大学学报》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103323834A (en) * | 2012-03-21 | 2013-09-25 | 富士通天株式会社 | Radar device and signal processing method |
| CN103323834B (en) * | 2012-03-21 | 2016-08-03 | 富士通天株式会社 | Radar installations and signal processing method |
| CN106546985A (en) * | 2015-09-17 | 2017-03-29 | 古野电气株式会社 | Radar installations |
| CN106546985B (en) * | 2015-09-17 | 2021-11-30 | 古野电气株式会社 | Radar apparatus |
| CN109100807A (en) * | 2018-09-18 | 2018-12-28 | 国电大渡河流域水电开发有限公司 | Automatically cleaning sleet sensing device |
| CN109100807B (en) * | 2018-09-18 | 2023-12-29 | 国能大渡河流域水电开发有限公司 | Self-cleaning rain and snow sensing device |
| WO2020142939A1 (en) * | 2019-01-09 | 2020-07-16 | 深圳市大疆创新科技有限公司 | Echo signal processing method and device and storage medium |
| CN111738932A (en) * | 2020-05-13 | 2020-10-02 | 合肥师范学院 | Automatic rain removing method for photographed image of vehicle-mounted camera |
| CN112881988A (en) * | 2021-01-11 | 2021-06-01 | 西北工业大学 | Clutter simulation display method in navigation radar simulation training system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102305930B (en) | 2013-03-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102305930B (en) | Method for inhibiting precipitation clutter in radar echo | |
| CN105022057B (en) | Based on the object detection method for improving Radon conversion and multi-frame joint processing | |
| US6222481B1 (en) | Method of detecting and classifying objects by means of radar | |
| US9157992B2 (en) | Knowledge aided detector | |
| CN107238821B (en) | Airport runway foreign matter detection method and device based on characteristic spectrum characteristics | |
| CN105403883A (en) | Ground penetrating radar underground target position detection method | |
| KR100922130B1 (en) | Removal method of second trip echo from doppler weather radar | |
| Yu et al. | Automatic mine detection based on ground-penetrating radar | |
| CN104849707B (en) | Sea clutter suppression method based on multi-radar distributed detection | |
| CN104133211A (en) | Target classification identification method for Doppler frequency transformation radar | |
| CN106908794A (en) | Method and apparatus for detecting target object | |
| CN106597556A (en) | Method for background elimination of airport runway foreign and debris detection system | |
| CN106803100B (en) | Dual-polarization spaceborne SAR image marine ship detection classification method | |
| CN104199009A (en) | Radar image clutter suppression method based on time-domain characteristics | |
| CN114488145A (en) | Image domain DPCA false alarm suppression method based on polarization classification | |
| Arivazhagan et al. | Significance based ship detection from SAR imagery | |
| CN105260591A (en) | Multi-elevation MIGFA gust front recognition improved algorithm | |
| KR101813357B1 (en) | Clutter elimination Method and Apparatus for applying variable data map and variable statistic characteristics information for identifying underwater fixed target and clutter | |
| CN115877465A (en) | Ground penetrating radar road defect detection digital imaging method and system considering data asymmetry | |
| WO2005052630A2 (en) | Doppler polarimetric detection and classification methods | |
| Faramarzi et al. | Infrared dim and small targets detection based on multi-scale local contrast measure utilizing efficient spatial filters | |
| Borisenkov et al. | Bistatic SAR based on TV-signal | |
| CN112558033A (en) | Radar data standard processing method based on three-dimensional ground penetrating radar | |
| CN117830766B (en) | Self-adaptive extraction method for ship-borne ground wave radar target spectrogram sample | |
| JP5482704B2 (en) | Target classification device and target classification method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |