CN102305930B - Method for inhibiting precipitation clutter in radar echo - Google Patents
Method for inhibiting precipitation clutter in radar echo Download PDFInfo
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- CN102305930B CN102305930B CN 201110146009 CN201110146009A CN102305930B CN 102305930 B CN102305930 B CN 102305930B CN 201110146009 CN201110146009 CN 201110146009 CN 201110146009 A CN201110146009 A CN 201110146009A CN 102305930 B CN102305930 B CN 102305930B
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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, specifically a kind of method that suppresses precipitation clutter in radar echo.
Background technology
The ultimate principle of radar is relatively simple, and it is worked in 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 by the measuring radiation energy transmission to target and time of returning.The angle of arrival that echoed signal is measured by directive antenna (antenna with narrow beam) in the orientation of target is identified.
Transmit and receive in the process at radar microwave, because the sleet that natural cause produces produces so that radar microwave has clutter in transmitting and receiving process, 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 larger environment of sleet impact, traditional wave filter can be with closely little target and together filtering of clutter.Such processing has affected 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 the defective for prior art, the method for strong, the effective inhibition precipitation clutter in radar echo of a kind of application is provided.
The objective of the invention is to solve by the following technical programs:
A kind of method that suppresses precipitation clutter in radar echo, described method step is as follows:
(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) according to the clutter distribution character in unlike signal zone, suspected target is used the mode mark of stain;
(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, the little target of non-precipitation clutter in the further separation precipitation clutter also transfers back to the little target of non-precipitation clutter 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 processing is input in the display system after suitably strengthening.
Precipitation noise distribution formula in the described step (2) is:
Wherein, P is the echo strength value; σ
NBe this circle echo strength parameter; σ
N-1Be upper circle echo strength parameter; M is the distance of analyzing spot range sweep image center; λ is wavelength.
Precipitation noise distribution formula in the described step (2) is:
Wherein, f (x) is the sleet intensity level; μ=0; σ=1.8; X represents that analyzing spot is apart from the distance of radar center.
Signal distributions zone in the described step (2) is the rectangular distribution zone, circular distribution is regional and the polygon distributed areas.
Clutter distribution character in the described step (3) refers to: closely clutter is similar to normal distribution, and remote clutter is similar to rayleigh distributed.
Precipitation clutter recognition method in the described step (5) is: at first judge precipitation clutter by the clutter distribution curve and concentrate region; Then in the zone, find out the strongest impact point of reflection, by the reduction to target around the strong impact point, find out the little target in the clutter; Judge by the relevant accumulation of frame at last, confirm little target.
The present invention has the following advantages compared to existing technology:
Form and the echo attenutation specificity analysis thereof of the present invention by sleet is produced, utilize the advanced algorithm in the data mining, the radar return image is carried out pattern match, the echo that then will meet the sleet characteristic carries out discrete processes, thereby progressively 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.
The present invention can carry out effective clutter to the echo under the inclement weathers such as heavy rain or heavy snow and remove, and has very strong application, and can process for the 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 processing;
Accompanying drawing 3 is the image after radar return image Small Target strengthens;
Accompanying drawing 4 is the distribution curve synoptic diagram of clutter;
Accompanying drawing 5 is schematic flow sheet of the present invention.
Embodiment
The present invention is further illustrated below in conjunction with accompanying drawing and embodiment.
Shown in Fig. 1-5: a kind of method that suppresses precipitation clutter in radar echo, the method step is as follows: 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:
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 by the clutter distribution curve first and concentrate region, then in the zone, find out the strongest impact point of reflection also by the reduction to target around the strong impact point, find out the little target in the clutter, then judge by the relevant accumulation of frame, affirmation also separates little target, and little target is 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 processing at last is input in the display system after suitably strengthening.
The present invention in use, accompanying drawing 1 and accompanying drawing 2 are the radar return image before and after processing, and wherein white portion is radar return, by the white portion in contrast accompanying drawing 1 and the accompanying drawing 2 as can be known, white portion in the accompanying drawing 2 is strengthened greatly, and namely the part clutter in the radar return is disallowable; Through the data in contrast accompanying drawing 1 and the accompanying drawing 2 as can be known, the precipitation clutter in the radar echo signal is attenuated to 2 by 235 simultaneously.By above analysis as can be known, form and the echo attenutation specificity analysis thereof of the present invention by sleet is produced, utilize the advanced algorithm in the data mining, the radar return image is carried out pattern match, the echo that then will meet the sleet characteristic 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 radar echo is characterized in that described method step is as follows:
(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) according to the distribution character of unlike signal zone clutter, suspected target is used the mode mark of stain;
(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, the little target of non-precipitation clutter in the further separation precipitation clutter also transfers back to the little target of non-precipitation clutter 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 processing is input in the display system after suitably strengthening.
2. the method for inhibition precipitation clutter in radar echo according to claim 1 is characterized in that the precipitation noise distribution formula in the described step (2) is:
Wherein, P is the echo strength value; σ
NBe this circle echo strength parameter; σ
N-1Be upper circle echo strength parameter; M is the distance of analyzing spot range sweep image center; λ is wavelength.
3. the method for inhibition precipitation clutter in radar echo according to claim 1 is characterized in that the precipitation noise distribution formula in the described step (2) is:
Wherein, f (x) is the sleet intensity level; μ=0; σ=1.8; X represents that analyzing spot is apart from the distance of radar center.
4. the method for inhibition precipitation clutter in radar echo according to claim 1 is characterized in that the signal distributions zone in the described step (2) is the rectangular distribution zone, circular distribution is regional and the polygon distributed areas.
5. the method for inhibition precipitation clutter in radar echo according to claim 1, it is characterized in that the clutter distribution character in the described step (3) refers to: closely clutter is similar to normal distribution, and remote clutter is similar to rayleigh distributed.
6. the method for inhibition precipitation clutter in radar echo according to claim 1 is characterized in that the precipitation clutter recognition method in the described step (5) is: at first judge precipitation clutter by the clutter distribution curve and concentrate region; Then in the zone, find out the strongest impact point of reflection, by the reduction to target around the strong impact point, find out the little target in the clutter; Judge by the relevant accumulation of frame at last, confirm little target.
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JP6009788B2 (en) * | 2012-03-21 | 2016-10-19 | 富士通テン株式会社 | Radar apparatus and signal processing method |
JP6526531B2 (en) * | 2015-09-17 | 2019-06-05 | 古野電気株式会社 | Radar equipment |
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 |
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 |
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Publication number | Priority date | Publication date | Assignee | Title |
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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 (2)
Title |
---|
抑制雷达杂波的最新信号处理系统;齐国清等;《大连海事大学学报》;19901230;第16卷(第04期);413-418 * |
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》.1990,第16卷(第04期),413-418. |
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