CN108919204A - Surveillance Radar clutter identifies integral treatment method - Google Patents

Surveillance Radar clutter identifies integral treatment method Download PDF

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Publication number
CN108919204A
CN108919204A CN201810715641.3A CN201810715641A CN108919204A CN 108919204 A CN108919204 A CN 108919204A CN 201810715641 A CN201810715641 A CN 201810715641A CN 108919204 A CN108919204 A CN 108919204A
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China
Prior art keywords
clutter
point mark
mark
slow motion
track
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CN201810715641.3A
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Chinese (zh)
Inventor
蔡兴雨
高恒
马英男
毛宇飞
董国
李雅梅
师志荣
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Xian Electronic Engineering Research Institute
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Xian Electronic Engineering Research Institute
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Priority to CN201810715641.3A priority Critical patent/CN108919204A/en
Publication of CN108919204A publication Critical patent/CN108919204A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/36Means for anti-jamming, e.g. ECCM, i.e. electronic counter-counter measures

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  • 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 present invention relates to a kind of Surveillance Radar clutters to identify integral treatment method, for original primary mark, the first identification of progress road network point mark, is identified as the point mark of road network clutter, is abandoned in subsequent Data processing, it is impossible to be used in originates track and updates track;By the point mark that road network identifies, quiet clutter identifying processing is carried out, is identified as the point mark of quiet clutter, is abandoned in subsequent Data processing, it is impossible to be used in starting track and update track;By the point mark that quiet clutter identifies, slow motion clutter identifying processing is carried out, identifies which point mark is slow motion Targets Dots, identified slow motion point mark is not used in subsequent Data processing, originates slow motion targetpath with slow motion clutter point mark.Reduce false track.

Description

Surveillance Radar clutter identifies integral treatment method
Technical field
The invention belongs to Surveillance Radar fields, and in particular to a kind of Surveillance Radar clutter identification integral treatment method.
Background technique
From the point of view of currently practical engineering application state, latest generation Surveillance Radar to the detection performance of low target compared to Conventional air surveillance radar, which has, to be substantially improved, but since gap-filler radar detection environment in low latitude is more severe, is existed largely by force Object clutter, class target clutter and noise etc., output primary mark data in inevitably still have a large amount of clutters Residue, this exerts heavy pressures on to the processing of subsequent radar data.In such a case, how strong clutter is being effectively inhibited Meanwhile the foundation and tracking processing of real goal are not reduced, it is the key points and difficulties of engineering field.
For problem above, the feasible method of engineering, is to carry out the fine identifying processing of high real-time to mark data at present, Realization carries out differentiation and filtering to clutter point mark, is subsequent further while filtering out various clutters mitigation post-processing pressure Data correlation, track initiation and target following reference is provided;Simultaneously according to the correlation of mark and track, in flight path processing rank The objective degrees of confidence of section feedback processing point mark;Based on layering identification technology, doubtful meteorological (angel) track etc. is identified.
In view of the above-mentioned problems, from the aspect of some or single-item handling technology only is used only, can not all obtain good Effect.Only start with from the entire process flow of system, is optimized in multiple processing nodes, it could be on the whole at acquisition Manage the promotion of effect.
For data processing, most important input information just comes from the original primary mark of signal processing. Traditional data processing starts to do flight path processing after receiving the original primary mark of signal processing.When primary point mark There are when a large amount of clutter residues in data, the primary quantity for putting mark is increased significantly, and causes false track sharply to increase, meeting when serious It causes to be saturated, causes processing abnormal.
The strong clutter in low latitude is remaining, is that the working environment of low latitude gap-filler radar and the tupe of radar itself determine.If By adjusting detection threshold is improved, the number of output for reducing original primary mark can be made although can partially solve the above problems At the loss of target detection, target detection probability is reduced.Therefore, only right under the premise for not reducing target detection probability Original primary mark carries out secondary treatment, carries out clutter and identifies integrated treatment, could solve problem above on the whole.
It is looked into, has no that technology related to this discloses.
Summary of the invention
Technical problems to be solved
In order to avoid the shortcomings of the prior art, the present invention proposes a kind of clutter identification integration based on Surveillance Radar Processing method completes integrated treatment and the identification of all kinds of clutters by being layered step-by-step processing.
Technical solution
A kind of Surveillance Radar clutter identification integral treatment method, it is characterised in that steps are as follows:
Step 1:For original primary mark, the first identification of progress road network point mark, that is, identify which original primary mark is What the residual spur on road generated;It is identified as the point mark of road network clutter, is abandoned in subsequent Data processing, it cannot For originating track and updating track;
Step 2:By the point mark that road network identifies, quiet clutter identifying processing is carried out;The quiet clutter, which refers to, to fail by signal Handle what clutter map absorbed, the quiet clutter of residue that position is swung in the certain area of space;These residual spur point marks are certain Spatial dimension and multiple detection cycles within can be detected, but it does not have the specific characteristics of motion, is dispersive distribution Strong clutter left point mark or sea clutter left point mark;For this residual spur point mark, obtained in clutter according to the poly- heart of point mark The heart;It is identified as the point mark of quiet clutter, is abandoned in subsequent Data processing, it is impossible to be used in starting track and update boat Mark;
Step 3:By the point mark that quiet clutter identifies, slow motion clutter identifying processing is carried out:To being identified as quiet clutter Point mark is again identified that that is, the identification priority of slow motion clutter is higher than quiet clutter identification priority;Identify which point mark is Slow motion Targets Dots, identified slow motion point mark are not used in subsequent Data processing, can be to avoid normal target track It is accidentally related caused by accidentally being updated using slow motion clutter point mark;Meanwhile after completing the identification of slow motion clutter point mark, with slow motion clutter point Mark originates slow motion targetpath;It is based on signature of flight path again at this time, carries out doubtful meteorological target identification, classified to slow motion track Processing;
Step 4:It is handled by above-mentioned 3 step, belongs to a mark pretreatment, after completing point mark pretreatment, original primary mark Just it is provided with 4 attribute:" unknown mark ", " road network point mark ", " quiet clutter point mark ", " slow motion clutter point mark ";For " unknown " Point mark, data processing are maintained according to normal process flow, using these marks for track initiation and tracking;For " road network point Mark ", " quiet clutter point mark ", " slow motion clutter point mark ", data processing do not use these marks and carry out track initiation;When target When a update point mark is accidentally identified as above 3 kinds of points mark attribute, causes normal target track to can not find its and update point, again to track Predicted position with point mark measurement position judged, when Trajectory Prediction position and point mark measurement position between error meet it is given It is required that when, Targets Dots are reused for track update.
Site mark identification in step 1 Road is identified using real time position.
In step 4 is specially azimuthal error less than 1.5 degree to provisioning request, and less than 1 degree, range error is less than pitch error 200 meters.
Beneficial effect
A kind of Surveillance Radar clutter proposed by the present invention identifies integral treatment method, and beneficial effect and feature are as follows:
1) whole software realizations do not need to increase additional hardware device, reduce system cost;
2) algorithm realizes simple that real-time is high;
3) false recognition rate is low;
4) transplantability is good, can be applied to multiple application fields.
Detailed description of the invention
Fig. 1 clutter identifies integrated treatment flow chart
Specific embodiment
Now in conjunction with embodiment, attached drawing, the invention will be further described:
Below by taking certain Surveillance Radar as an example, illustrate the embodiment of the invention:
1) for original primary mark, the first identification of progress road network point mark, that is, identify which original primary mark is road On residual spur generate.Road network identification can be handled by map match and real time position identification, and this method uses The latter.It is identified as the point mark of road network clutter, is abandoned in subsequent Data processing, it is impossible to be used in starting track and update Track;To 100 original point marks, 10 " road network point marks " are identified.
2) by the point mark of road network identification, quiet clutter identifying processing is carried out:
Quiet clutter herein refers to and fails to be absorbed by signal processing clutter map, and position is swung in the certain area of space The quiet clutter of residue.These residual spur point marks can be detected within certain spatial dimension and multiple detection cycles Come, but it does not have the specific characteristics of motion, is the strong clutter left point mark or sea clutter left point mark of dispersive distribution.For this Residual spur point mark obtains clutter center according to the poly- heart of point mark.It is identified as the point mark of quiet clutter, in subsequent Data processing It is abandoned, it is impossible to be used in starting track and update track;This step in remaining 90 marks, identify 20 it is " quiet miscellaneous Wave point mark ".
3) by the point mark of quiet clutter identification, slow motion clutter identifying processing is carried out:
No matter taking any quiet clutter processing mode, negative results are just possible to that slow motion target or slow can be absorbed Dynamic clutter.Definition for slow motion target, different types of radar are different.Simply all slow motion clutters cannot all be given To absorb and abandon.Such as current unmanned plane target, reflective surface area is small, detection difficult, once discovery, movement velocity and Point mark attribute is all similar with the slow motions clutter such as meteorological target, and it is unreasonable for abandoning this threat greatly target.But if will All slow motion targets or slow motion clutter are all disregarded, and subsequent processing is all given to, and will be caused in data handling more False target, and can be to normal target reference point mark when cause accidentally to handle.Therefore, the present invention proposes, to slow motion clutter or mesh Mark is individually handled, i.e., again identifies that the point mark for being identified as quiet clutter, i.e. the identification priority of slow motion clutter Priority is identified higher than quiet clutter.Identify which point mark is slow motion Targets Dots, identified slow motion point mark is in subsequent number It is accidentally related caused by can accidentally using slow motion clutter point mark to update to avoid normal target track according to not used in processing.Meanwhile After completing the identification of slow motion clutter point mark, slow motion targetpath is originated with slow motion clutter point mark, slow motion targetpath herein is not It generates in data handling, but directly generated in the processing of slow motion target.The slow motion targetpath of formation, it is possible to It is unmanned plane, balloon drifted by wind, cloud cluster, flock of birds etc., is based on signature of flight path again at this time, doubtful meteorological target identification is carried out, to slow motion Track gives classification processing.Not only the detection of low slow group unmanned plane target had been taken into account, but also Meteorological Change clutter target can be filtered out.This step It in remaining 90 marks, identifies 10 " slow motion clutter point marks ", this 10 " slow motion clutter point mark " are possible to 2 and belong to " quiet clutter point mark ".
4) it is handled by above-mentioned 3 step, belongs to a mark pretreatment, after completing point mark pretreatment, original primary mark just has There are 4 attribute:" unknown mark ", " road network point mark ", " quiet clutter point mark ", " slow motion clutter point mark ".These original primary points Mark enters Data processing and is handled again, and for the point mark of different attribute, the processing mode of data processing is different.For " unknown " point mark, data processing are maintained according to normal process flow, using these marks for track initiation and tracking;For " road network point mark ", " quiet clutter point mark ", " slow motion clutter point mark ", data processing do not use these marks and carry out track initiation, But under special circumstances, when the update point mark of target be accidentally identified as above 3 kinds of points mark (" road network point mark ", " quiet clutter point mark ", " slow motion clutter point mark ") attribute when, cause normal target track to can not find its and update point, data processing starts stringent phase at this time It closes and usage criteria (refers to that Trajectory Prediction position and the error put between mark measurement position meet the requirements, i.e., azimuthal error is less than 1.5 degree, pitch error is less than 1 degree, and range error is less than 200 meters), secondary search is carried out in above 3 kinds of points mark, finds out and is missed The Targets Dots of absorption, the update for completing normal target maintain.
5) for " unknown " point mark, data processing using these marks for track in addition to being risen according to normal process flow Begin and track except maintenance, according to the correlated results of track and point mark, successfully puts mark imparting " target " for related to track Attribute.So far, identification is completed.

Claims (3)

1. a kind of Surveillance Radar clutter identifies integral treatment method, it is characterised in that steps are as follows:
Step 1:For original primary mark, the first identification of progress road network point mark, that is, identify which original primary mark is road On residual spur generate;It is identified as the point mark of road network clutter, is abandoned in subsequent Data processing, it is impossible to be used in It originates track and updates track;
Step 2:By the point mark that road network identifies, quiet clutter identifying processing is carried out;The quiet clutter, which refers to, to fail by signal processing What clutter map absorbed, the quiet clutter of residue that position is swung in the certain area of space;These residual spur point marks are in certain sky Between can be detected within range and multiple detection cycles, but it does not have the specific characteristics of motion, is the strong of dispersive distribution Clutter left point mark or sea clutter left point mark;For this residual spur point mark, clutter center is obtained according to the poly- heart of point mark;Quilt It is identified as the point mark of quiet clutter, is abandoned in subsequent Data processing, it is impossible to be used in starting track and update track;
Step 3:By the point mark that quiet clutter identifies, slow motion clutter identifying processing is carried out:To the point mark for being identified as quiet clutter It is again identified that, i.e., the identification priority of slow motion clutter is higher than quiet clutter identification priority;Identify which point mark is slow motion Targets Dots, identified slow motion point mark do not use in subsequent Data processing, can accidentally make to avoid normal target track It is accidentally related caused by being updated with slow motion clutter point mark;Meanwhile after completing the identification of slow motion clutter point mark, risen with slow motion clutter point mark Beginning slow motion targetpath;It is based on signature of flight path again at this time, carries out doubtful meteorological target identification, slow motion track is given at classification Reason;
Step 4:It is handled by above-mentioned 3 step, belongs to a mark pretreatment, after completing point mark pretreatment, original primary mark just has There are 4 attribute:" unknown mark ", " road network point mark ", " quiet clutter point mark ", " slow motion clutter point mark ";Mark is put for " unknown ", Data processing is maintained according to normal process flow, using these marks for track initiation and tracking;For " road network point mark ", " quiet clutter point mark ", " slow motion clutter point mark ", data processing do not use these marks and carry out track initiation;When the update of target When point mark is accidentally identified as above 3 kinds of points mark attribute, causes normal target track to can not find it and update point, again to Trajectory Prediction Position is judged with point mark measurement position, when the error between Trajectory Prediction position and point mark measurement position meets to provisioning request When, Targets Dots are reused for track update.
2. a kind of Surveillance Radar clutter according to claim 1 identifies integral treatment method, it is characterised in that in step 1 The identification of road network point mark is identified using real time position.
3. a kind of Surveillance Radar clutter according to claim 1 identifies integral treatment method, it is characterised in that in step 4 Be specially azimuthal error less than 1.5 degree to provisioning request, pitch error is less than 1 degree, and range error is less than 200 meters.
CN201810715641.3A 2018-07-03 2018-07-03 Surveillance Radar clutter identifies integral treatment method Pending CN108919204A (en)

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CN111458701A (en) * 2020-04-12 2020-07-28 西安电子工程研究所 Meteorological track restraining method based on track characteristic iterative updating
CN112014836A (en) * 2020-09-21 2020-12-01 四川长虹电器股份有限公司 Short-range personnel target tracking method based on millimeter wave radar

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Application publication date: 20181130