CN103472440A - Full automatic data processing method based on trace point quality decision and track quality decision - Google Patents
Full automatic data processing method based on trace point quality decision and track quality decision Download PDFInfo
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- CN103472440A CN103472440A CN2013103482707A CN201310348270A CN103472440A CN 103472440 A CN103472440 A CN 103472440A CN 2013103482707 A CN2013103482707 A CN 2013103482707A CN 201310348270 A CN201310348270 A CN 201310348270A CN 103472440 A CN103472440 A CN 103472440A
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Abstract
The invention belongs to the content of the radar data processing field, and relates to the detection and tracking algorithm of a radar. In the invention, two methods, i.e., a trace point quality decision and a track quality decision are adopted so as to finish full automatic data processing with practical significance. On one hand, the problem of false track caused by a great number of false alarms in a complex clutter background can be solved, and on the other hand, the initial speed of the track can also be improved at the same time. By using the full automatic data processing method provided by the invention, the usefulness of the radar in use can be brought into play, and the labor intensity of commanders and fighters can also be mitigated at the same time.
Description
Technical field
The invention belongs to the content of radar data process field, relate to the detection and tracking algorithm of radar.
Background technology
Modern war requires the data of radar to process the function with full-automatic admission, and this method contributes to the realization of this function.
The target that data are processed is to process in the detection video provided and find real goal at signal, and provides target each parameter at space motion, the false target of wanting filtering to be brought by meteorological clutter, land clutter and active interference simultaneously.Data are processed and are mainly comprised that a mark is processed and flight path is processed two parts.The point mark is processed and need to be correlated with from signal is provided by the testing result provided, and relevant result is condensed into to a some mark, and the orientation of definite this mark, distance, highly, the parameters such as radial velocity and discovery time.Flight path process to as if a some mark, will put mark to be correlated with in time, form flight path, calculate the orientation, distance of flight path, highly, the information such as speed and attribute, and in this process the filtering false target.
Current data are processed and are adopted the initial flight path of 3/4 criterion, at any time, are greater than 3 some marks in 4 cycles relevant, are regarded track initiation.This method has two main problems: one, under the dense clutter background, particularly closely, can produce a large amount of false track, and sometimes even have thousands of false flight paths; Its two, for early warning radar, detection probability need to mean with p higher than 50%, p=0.5 adopts 3/4 criterion, within 4 cycles, the probability of track initiation only has 31.25%, formula is as follows.These 2 needs that all can not meet the user, thereby, must consider new way.
The invention provides a kind of based on a full-automatic data processing method of mark quality judgement.
Summary of the invention
For the deficiency of background technology, the present invention adopts " judgement of some mark quality ", " judgement of flight path quality " two kinds of methods simultaneously, to complete, has the full-automatic data processing of meaning under battle conditions.One aspect of the present invention has solved the false flight path problem that under the complex clutter background, a large amount of false-alarms are brought, and has also improved the starting velocity of flight path simultaneously.The present invention contributes to the performance of radar fighting efficiency, has also alleviated officers and men's labour intensity simultaneously.
Technical scheme of the present invention is: the full-automatic data processing method based on a mark quality judgement and the judgement of flight path quality comprises the following steps:
Step 1, the cohesion of some mark, obtain some mark essential information and a characteristic information;
Step 3, by a mark, form interim flight path, obtain general information and the characteristic information of interim flight path;
The characteristic information of step 4, the interim flight path of basis forms interim flight path quality;
Two key points of the present invention are: one, and acquisition point mark characteristic information, and carry out a mark quality judgement with it; Its two, carry out the judgement of flight path quality based on characteristic informations such as mark quality, and with the speed of decision track initiation.
The point mark characteristic information obtained mainly comprises: the detection relation of some mark density, associated video shape, associated video and MTD and the clutter map of the continuity of the orientation span of signal to noise ratio (S/N ratio), associated video unit number, associated video, the distance of associated video, associated video, some sector, mark place.
The interim signature of flight path information spinner obtained will comprise: the speed of reference point mark quality, interim flight path, the independence of reference point mark and with the starting velocity of definite flight paths such as correlativity of secondary radar.
The invention has the advantages that: data are processed the various information that radar system provides that take full advantage of, thereby carry out a judgement of mark quality, on this basis, no longer apply 3/4 this absolute criterion, but determine the speed of track initiation according to the concrete condition of flight path quality.This method is with respect to the method for current main flow, and picture is clean, and the real goal starting velocity is fast, and the suppressed degree of false target is high.Thereby, can meet the needs of processing for full-automatic data.
The accompanying drawing explanation
Fig. 1: the available information that the current main-stream data are processed: 1bit video and original video.
Fig. 2: the available information that data of the present invention are processed.
Fig. 3: desirable some mark shape, the center signal to noise ratio (S/N ratio) is higher, and video is continuous.
Fig. 4: the some mark that shape is bad, with ideal situation, run counter to.
Fig. 5: the some mark that the signal to noise ratio (S/N ratio) of associated video is lower.
Fig. 6: the some mark that distance is larger.
Fig. 7: discrete point mark on orientation.
Fig. 8: the process of some mark cohesion.
Fig. 9: the situation that the reference point mark of flight path is re-used.
Figure 10: speed gate during track initiation.
Figure 11: the current main-stream data are processed the effect of full automatic treatment.
Figure 12: the effect that adopts the inventive method to carry out full-automatic data processing.
Embodiment
As shown in Figure 1 and Figure 2, the present invention requires the signal processing can offer data and processes more information, comprise: the MTD gating result of the MTD channel number of the signal to noise ratio (S/N ratio) of video, original video, video, video, the clutter map gating result of video and the information such as height of video, information is The more the better.
By carrying out a mark cohesion shown in Fig. 8, mainly comprise following process.
One, carry out the distance cohesion for video, the video that same target is distributed on distance is condensed into one " apart from piece ", preserve orientation apart from piece, distance, highly, maximum signal to noise ratio, distance, MTD channel number, MTD gating sum, clutter map gating sum, form the signal to noise ratio (S/N ratio) summation apart from all videos of piece apart from the number of the video of piece and composition;
Two, same target on different azimuth carried out to the orientation cohesion apart from piece, the MTD channel number is close is necessary judgement factor, the orientation of savepoint mark, distance, highly, maximum signal to noise ratio, orientation span, distance, MTD channel number, MTD gating sum, clutter map gating sum, form the some mark video number and form the signal to noise ratio (S/N ratio) summation of all videos of some mark;
Three, by the information updating global data of some mark, comprising: there are the general bearing span, mean distance span of a mark, the average video number that forms the some mark, the average signal-to-noise ratio of all videos in institute;
Four, calculate some mark quantity in each azran sector, calculation level mark density;
Five, contrast global data by the information of some mark, thus judging point mark quality.The criterion of some mark quality judgement is as shown in table 1, utilizes formula (2), (3) to be judged.Determine Q according to the criterion of table 1
i, the maximum signal to noise ratio of for example putting video in mark is greater than the average signal-to-noise ratio of a mark, according to the known Q of table 1
1=2.Obtain all Q
iafter, according to formula (2), can obtain
, then according to formula (3) determine a some mark quality be, in or poor.
According to this rule, observe Fig. 3～Fig. 7, known, the some mark quality shown in Fig. 3 is the highest, because the some mark signal to noise ratio (S/N ratio) shown in Fig. 3 is higher, the video unit number is more, the orientation span reasonable, shape is very desirable.Do not embody the strobe case of the some mark density of sector, place and MTD, clutter map in figure, cast aside these two factors and judge, the some mark quality shown in Fig. 3 is the highest in Fig. 3～Fig. 7.
The major parameter of table 1. determination point mark quality
The judgement factor of some mark quality is not limited to eight factors of the present invention, depending on concrete radar situation, some radars can provide than this more information, such as the mirror image speed of a mark, some mark height etc., some radars may not provide these information, and the radar for example had does not adopt MTD to carry out the coherent accumulation.Special attention will be given to of the present invention be to the judgement of some mark quality, rather than the traditional data processing of picture without this very important information of viewpoint mark quality.
Form interim flight path according to following steps.
One, quality can not be for initial interim flight path for poor some mark, only can be as alternative some mark of follow-up Track In Track, and this rule can avoid that a large amount of ropy False Intersection Points mark is initial goes out decoy;
Two, the some mark in continuous two cycles forms interim flight path, calculates the speed, orientation, distance of flight path, highly; Preserve the some mark quality that forms flight path, the information that the savepoint mark was used;
Three, judge interim flight path quality according to table 2 and formula (4), (5), thereby determine interim track initiation speed;
The major parameter of the interim flight path quality of table 2. judgement
Four, as shown in figure 10, as shown in Figure 9, the some mark be re-used is dependent some mark to the multiplexed situation of interim flight path reference point mark to speed gate during interim Track forming;
Five, for the interim flight path of quality first-class, directly generate flight path, export to the user; The second-class interim flight path for quality, carry out maintaining of interim flight path by 2/3 initial rule; The third-class interim flight path for quality, carry out maintaining of interim flight path by 3/4 initial rule; For the interim flight path of quality 4 grades, by 4/5 initial rule, carry out maintaining of interim flight path;
The effect of six, by method of the present invention, carrying out full-automatic data processing as shown in figure 12, by the effect of the full-automatic data processing method of current main flow as shown in figure 11.
The judgement of flight path quality is not limited to four factors shown in table 2, Special attention will be given to of the present invention be the individual character different according to flight path judgement flight path quality, thereby break mechanical " 3/4 " initial rule, make data process the function that can in fact realize full-automatic admission, thereby meet the request for utilization of army.
This method, by based on a full-automatic data processing method of mark quality judgement, takes full advantage of the basis for estimation of the various information formation point mark quality of radar, and then forms the basis for estimation of interim flight path quality.According to a mark quality with the flight path quality is distinguishing carries out the initial of flight path, thereby reach initial real goal as early as possible, the purpose of clutter reduction as far as possible, apply in the successful project of being engaged in the inventor of the method for this invention, with the radar complete machine, in a plurality of armies, is on active service at present.
Claims (4)
1. the full-automatic data processing method of adjudicating based on the judgement of some mark quality and flight path quality comprises the following steps:
Step 1, the cohesion of some mark, obtain some mark essential information and a characteristic information;
Step 2, according to a mark characteristic information weighting, obtain a mark quality;
Step 3, by a mark, form interim flight path, obtain general information and the characteristic information of interim flight path;
The characteristic information of step 4, the interim flight path of basis forms interim flight path quality;
Step 5, basis be the flight path quality temporarily, determines the speed of interim track initiation.
2. full-automatic data processing method as claimed in claim 1, it is characterized in that: described some mark characteristic information comprises: the detection relation of some mark density, associated video shape, associated video and MTD and the clutter map of the continuity of the orientation span of signal to noise ratio (S/N ratio), associated video unit number, associated video, the distance of associated video, associated video, some sector, mark place.
3. full-automatic data processing method as claimed in claim 1, it is characterized in that: described interim signature of flight path information comprises: the speed of reference point mark quality, interim flight path, the independence of reference point mark and determine the starting velocity of flight path with the correlativity of secondary radar.
4. as claim 1,2 or 3 described full-automatic data processing methods, it is characterized in that: the speed of described interim track initiation is specially: interim flight path matter is measured, and 2 can be risen batch; Take second place, 2/3 batch; Take second place again, 3/4 batch; More take second place, 4/5 batch.
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| CN104166135A (en) * | 2014-09-05 | 2014-11-26 | 武汉中原电子集团有限公司 | Method for processing original point trace condensation of broadband radar target |
| CN105445731A (en) * | 2015-11-18 | 2016-03-30 | 中船重工（武汉）凌久电子有限责任公司 | Full-automatic radar tracking method based on high precision speed measurement |
| CN107132515A (en) * | 2017-05-09 | 2017-09-05 | 哈尔滨工业大学 | A kind of point mark screening technique constrained based on multidimensional information |
| CN107797101A (en) * | 2017-10-24 | 2018-03-13 | 哈尔滨工业大学 | Track initiation method based on a mark multidimensional filtering under dense clutter environment |
| CN107942293A (en) * | 2017-10-30 | 2018-04-20 | 中国民用航空总局第二研究所 | The Target dots processing method and system of airport surface detection radar |
| CN108490409A (en) * | 2018-03-06 | 2018-09-04 | 中国船舶重工集团公司第七二四研究所 | The automatic initial mode of three-dimensional radar based on flight path risk assessment |
| CN108896973A (en) * | 2018-07-13 | 2018-11-27 | 北京无线电测量研究所 | Scaling method, point the mark method for evaluating quality, storage medium of radar data |
| CN112162256A (en) * | 2020-09-29 | 2021-01-01 | 中国船舶重工集团公司第七二四研究所 | Pulse correlation-based cascade multi-dimensional radial motion characteristic detection method |
| CN113376595A (en) * | 2021-05-18 | 2021-09-10 | 中国船舶重工集团公司第七二三研究所 | Evaluation method for initial comprehensive quality of search radar track |
| CN113671479A (en) * | 2021-05-24 | 2021-11-19 | 四川九洲防控科技有限责任公司 | Method, device and computer readable storage medium for determining track initiation |
| CN113820687A (en) * | 2021-10-19 | 2021-12-21 | 中安锐达(北京)电子科技有限公司 | Radar point track correlation algorithm considering first-order velocity ambiguity |
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104166135A (en) * | 2014-09-05 | 2014-11-26 | 武汉中原电子集团有限公司 | Method for processing original point trace condensation of broadband radar target |
| CN105445731A (en) * | 2015-11-18 | 2016-03-30 | 中船重工（武汉）凌久电子有限责任公司 | Full-automatic radar tracking method based on high precision speed measurement |
| CN105445731B (en) * | 2015-11-18 | 2017-11-28 | 中船重工（武汉）凌久电子有限责任公司 | A kind of radar full-automatic tracking method based on high precision speed-measuring |
| CN107132515A (en) * | 2017-05-09 | 2017-09-05 | 哈尔滨工业大学 | A kind of point mark screening technique constrained based on multidimensional information |
| CN107797101A (en) * | 2017-10-24 | 2018-03-13 | 哈尔滨工业大学 | Track initiation method based on a mark multidimensional filtering under dense clutter environment |
| CN107942293B (en) * | 2017-10-30 | 2019-11-19 | 中国民用航空总局第二研究所 | The Target dots processing method and system of airport surface detection radar |
| CN107942293A (en) * | 2017-10-30 | 2018-04-20 | 中国民用航空总局第二研究所 | The Target dots processing method and system of airport surface detection radar |
| CN108490409A (en) * | 2018-03-06 | 2018-09-04 | 中国船舶重工集团公司第七二四研究所 | The automatic initial mode of three-dimensional radar based on flight path risk assessment |
| CN108896973A (en) * | 2018-07-13 | 2018-11-27 | 北京无线电测量研究所 | Scaling method, point the mark method for evaluating quality, storage medium of radar data |
| CN108896973B (en) * | 2018-07-13 | 2022-05-31 | 北京无线电测量研究所 | Radar data calibration method, trace point quality evaluation method and storage medium |
| CN112162256A (en) * | 2020-09-29 | 2021-01-01 | 中国船舶重工集团公司第七二四研究所 | Pulse correlation-based cascade multi-dimensional radial motion characteristic detection method |
| CN112162256B (en) * | 2020-09-29 | 2023-08-01 | 中国船舶集团有限公司第七二四研究所 | Cascaded multi-dimensional radial motion feature detection method based on pulse correlation |
| CN113376595A (en) * | 2021-05-18 | 2021-09-10 | 中国船舶重工集团公司第七二三研究所 | Evaluation method for initial comprehensive quality of search radar track |
| CN113376595B (en) * | 2021-05-18 | 2022-03-22 | 中国船舶重工集团公司第七二三研究所 | Evaluation method for initial comprehensive quality of search radar track |
| CN113671479A (en) * | 2021-05-24 | 2021-11-19 | 四川九洲防控科技有限责任公司 | Method, device and computer readable storage medium for determining track initiation |
| CN113820687A (en) * | 2021-10-19 | 2021-12-21 | 中安锐达(北京)电子科技有限公司 | Radar point track correlation algorithm considering first-order velocity ambiguity |
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