CN104122536A - Low-airspace multi-path reflecting inhibition method based on target traction system - Google Patents
Low-airspace multi-path reflecting inhibition method based on target traction system Download PDFInfo
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- CN104122536A CN104122536A CN201410378119.2A CN201410378119A CN104122536A CN 104122536 A CN104122536 A CN 104122536A CN 201410378119 A CN201410378119 A CN 201410378119A CN 104122536 A CN104122536 A CN 104122536A
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- 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
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- 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
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/414—Discriminating targets with respect to background clutter
Abstract
The invention provides a low-airspace multi-path reflecting inhibition method based on a target traction system. The method is characterized is characterized in that a real target is determined by screening a historical target and a new target according to target query survival time rule, position difference correlation, class of traction cycles, multi-path effect determining rule within the traction cycles and related time threshold determination on the premise that the cost of hardware is not increased. With the adoption of the method, the detection capacity of the target influenced by low-airspace target multi-path effect can be greatly improved; the multi-determination rule is carried out to accurately determine the confidence coefficient of target trace point data on real time under a complex electromagnetic wave environment, and the false target is removed according to the truth of the target influenced by the multi-path effect, thus the data quality of target detecting of the target traction system can be improved, and the identification probability and reliability of the system target can be improved as well.
Description
Technical field
The present invention relates to a kind of low spatial domain Multipath reflection inhibition method of based target trailer system, particularly relate to one and be applicable to radar (comprising primary radar and secondary radar) communication technical field, the low spatial domain Multipath reflection inhibition method of based target trailer system.
Background technology
In complicated electromagnetic wave environment, to the once multiple supervision means such as radar, secondary radar, ADS-B, ADS-X of the supervision of airbound target, these means complement one another, for airflight targeted surveillance provides reliable information technology support, but owing to had a strong impact on by low spatial domain multipath effect, cause the quality of data of target seriously to reduce, how accurately and efficiently affected target to be made true and false judgement and its false target is rejected is a difficult problem for this technical field.
Multipath effect typically refers to electromagnetic wave after ground surface or other reverberation surface reflection, the harmful effect that echo causes equipment or interference.The detection performance of radar to aerial target that had severe jamming of multipath effect, the particularly target in low spatial domain, therefore, the research that low spatial domain target multipath suppresses technology has significant facilitation to the development of radar target signal processing technology, especially the long term growth of domestic ground radar, onboard radar system is had to more profound significance.Recent two decades comes, the research of primary radar multipath inhibition technology is obtained to great achievement both at home and abroad, and be successfully applied in primary radar object detection field, but the research that the low spatial domain of the Target Towing system multipath based on first and second radar communication is suppressed to technology is still in space state.
For the Radar Technology of widespread use in prior art, be necessary to provide the implementation method of the low spatial domain of a kind of based target trailer system target multipath effect inhibition technology.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of quality of data that can improve the Target Towing system detection of a target, strengthens the low spatial domain Multipath reflection inhibition method of the based target trailer system of aims of systems identification probability and reliability.
The technical solution used in the present invention is as follows: a kind of low spatial domain Multipath reflection inhibition method of based target trailer system, and concrete grammar step is:
Step 1, data fusion module receives and preserves in real time the historical point of traction target mark data, historical target is carried out to periodicity inquire maintenance test, judges whether to meet target inquiry time-to-live criterion, be to enter next step, otherwise its historical data is removed;
Wherein, described target inquiry time-to-live criterion is: current time and the mistiming of historical target update time are not more than the target inquiry time-to-live.
Step 2, all historical targets and fresh target are carried out to position correlation judgement, judge the distance in fresh target point mark data and historical target data, whether orientation is all not more than associated gate limit value, there is the position of a historical target and a fresh target to be all not more than associated gate limit value, this history target is converted into and determines that target enters next step, if fresh target and all historical targets are all greater than associated gate limit value, using this fresh target as non-definite target update, finish the processing of this traction target, and non-definite target after upgrading participates in inquiry maintenance test cycle of next round as historical target.
Step 3, calculates current time and the mistiming of definite target update time, the renewal of fresh target is classified according to this mistiming, in the time that the mistiming is not more than threshold value, thinks that fresh target is the renewal in the same traction cycle, enters next step; Otherwise this fresh target being divided to the renewal being classified as in the non-same traction cycle, is directly the processing that finishes this traction target after historical target data by fresh target Data Update.
Step 4, screens fresh target according to multipath effect judgment criterion in the same traction cycle; Judgment criterion is: with contrasting with range value and poor range value in fresh target point mark data and definite target historical data, there are fresh target data greatly to use this history target data of fresh target Data Update than a historical target data, and be defined as real goal and enter next step, all not quite this fresh target is abandoned.
Step 5, according to low spatial domain target excessive routing influence thresholding correlation time computing formula, low spatial domain target excessive routing influence thresholding correlation time is set, all definite targets are carried out to periodic test, really set the goal and report being not more than correlation time thresholding, and finish this detection of a target processing, be greater than the definite of dependent threshold and enter the next inquiry maintenance test cycle;
Wherein, the computing method of low spatial domain target excessive routing influence thresholding correlation time are: t=Az (xwkz)/360 * T, wherein Az (xwkz) refers to the angle of hardware inquiry control gate in Target Towing system, and T is the inquiry maintenance test cycle.
As preferably, in described step 1, target inquiry time-to-live=effective acting time+shake time.
As preferably, the described shake time is 10% of the inquiry cycle.
As preferably, in described step 2, carry out position correlation judgement according to target location attribute information.
As preferably, in position correlation judgement in described step 2, the computing method of false proof dependent threshold are: AzCorrGate=((R (max) – R (new))/6000) * 0.12+AzCorr (min); Wherein R (max) is Target Towing system maximum radar range, R (new) is the distance of traction target detection, the minimum dependent threshold in the orientation of its setting when AzCorr (min) is the relative radar minor increment of traction target.
As preferably, described method also comprises: after step 1 finishes, judge that whether historical target is to determine target, is directly to enter step 3, otherwise enters step 2.
Compared with prior art, the invention has the beneficial effects as follows: method of the present invention is not increasing under the prerequisite of hardware cost, can greatly improve the detectability that is subject to low spatial domain target Multi-Path Effects target, in complicated electromagnetic wave environment, the method is utilized multiple judgment criterion, can judge in real time, exactly the degree of confidence of Targets Dots data, and according to the authenticity that is subject to Multi-Path Effects target, false target is rejected, the quality of data of the Target Towing system detection of a target be can improve, aims of systems identification probability and reliability strengthened.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
Disclosed arbitrary feature in this instructions (comprising any accessory claim and summary), unless narration especially all can be replaced by other equivalences or the alternative features with similar object.,, unless narration especially, each feature is an example in a series of equivalences or similar characteristics.
A kind of low spatial domain Multipath reflection inhibition method of based target trailer system, method step is:
Step 1, data fusion module receives and preserves in real time the historical point of traction target mark data, historical target is carried out to periodicity inquire maintenance test, judges whether to meet target inquiry time-to-live criterion, be to enter next step, otherwise its historical data is removed;
Wherein, described target inquiry time-to-live criterion is: current time and the mistiming of historical target update time are not more than the target inquiry time-to-live.
In inhibition method of the present invention, the operation essence of this step has been the maintenance test of the life cycle to traction target, its judged result is the judgement that is the true and false property of follow-up new traction target, and the correctness of rejecting because of the false target of low spatial domain target Multi-Path Effects is established solid foundation.
Wherein, target inquiry time-to-live=effective acting time+shake time.
The described shake time is 10% of the inquiry cycle.
For the target setting of inquiry time-to-live, in application to engineering practice in the past, the setting of this threshold value only depend on traction effective acting time, be that platform revolves the time integral multiple that turns around or dispatch a circle, the maximum shortcoming that arranges of this kind of time-to-live is that deviser had not previously considered the periodic inequality opposite sex of platform rotation or software scheduling, be that each cycle operates the time existence shake spending, for this problem, the investigation of putting into practice by many project is found, no matter be platform rotation or software scheduling, the 10%(that its dither cycle time can not exceed itself in fact software scheduling than little 1.2% left and right of platform rotation shake).Comprehensive above-mentioned situation, author proposes new developing programs to the target inquiry time-to-live in the present invention, i.e. arranging according to comprising two parts of this time: Part I, effective acting time; Part II, the shake time, calculates by 10% of the inquiry cycle.The Implementation Technology of this step can be more effectively, accurately traction target is carried out to maintenance and the inspection of life cycle.
Step 2, all historical targets and fresh target are carried out to position correlation judgement, judge the distance in fresh target point mark data and historical target data, whether orientation is all not more than associated gate limit value, there is the position of a historical target and a fresh target to be all not more than associated gate limit value, this history target is converted into definite target (if this as definite target without carrying out this operation) and enters next step, if fresh target and all historical targets are all greater than associated gate limit value, using this fresh target as non-definite target update, finish the processing of this traction target, and non-definite target after upgrading participates in inquiry maintenance test cycle of next round as historical target.
In inhibition method of the present invention, position correlation criterion is very important, a crucial step, and the effect that it is implemented will directly have influence on the judgement of the true and false property of traction target and the rejecting of false target.In other words, position correlation criterion correctness in definition and rationality are quite vital.
Wherein, carry out position correlation judgement according to target location attribute information.For Target Towing system, theoretical experience is in the past told us, there is certain one-sidedness in the relevant thought only the scope thresholding of its range difference, gun parallax and permission being judged simply in position, maximum drawback is not further investigate the correlativity of its range-azimuth thresholding.For the consideration of above-mentioned situation, the inhibition method of this specific embodiment proposed more strictly, position correlation criterion accurately, on relevant basis, original position, increases the interactive design of Azimuth & Range thresholding.
Wherein, in position correlation judgement, interactive design is mainly reflected in the computing method of orientation dependent threshold, and the computing method of concrete false proof dependent threshold are: AzCorrGate=((R (max) – R (new))/6000) * 0.12+AzCorr (min); Wherein R (max) is Target Towing system maximum radar range, R (new) is the distance of traction target detection, the minimum dependent threshold in the orientation of its setting when AzCorr (min) is the relative radar minor increment of traction target.
In addition, parameter in above-mentioned formula or the setting of coefficient can be adjusted according to mounting platform (mainly can be divided into motion and static platform), comparatively speaking, the setting of the associated gate limit value of equipment motion platform (as carrier aircraft, naval vessels etc.) need be considered the motion conditions of carrier aircraft itself, as the roll in per moment of motion platform, pitching, course and the speed of a ship or plane etc.
Step 3, calculates current time and the mistiming of definite target update time, the renewal of fresh target is classified according to this mistiming, in the time that the mistiming is not more than threshold value, thinks that fresh target is the renewal in the same traction cycle, enters next step; Otherwise this fresh target being divided to the renewal being classified as in the non-same traction cycle, is directly the processing that finishes this traction target after historical target data by fresh target Data Update.
Step 4, screens fresh target according to multipath effect judgment criterion in the same traction cycle; Judgment criterion is: with contrasting with range value and poor range value in fresh target point mark data and definite target historical data, there are fresh target data greatly to can be considered real goal than a historical target data, by this history target data of fresh target Data Update, and be defined as real goal and enter next step, all not quite this fresh target is abandoned.
In radar engineering application process, we can often run into this kind of phenomenon: radar can detect two targets while drawing inquiry for a low target in same period, and these two its range-azimuths of target are also very approaching.For this phenomenon, engineering technical personnel have carried out back-end analysis to record data, passable the judging of comparing before and after these two targets: two targets, one is real goal, and another one is the false target because of low spatial domain Multi-Path Effects.So, formulate one reasonably, judgment criterion accurately, automatically, in real time, the true and false judgement made drawing target in the same traction cycle efficiently, and finally realize the rejecting to the false target because of low spatial domain Multi-Path Effects according to its judged result.In the same traction cycle that this step proposes, multipath effect judgment criterion is formulated based on this kind of thinking just, and this criterion mainly judges that the selection of the factor is by summing up and form in conjunction with the specificity analysis that repeatedly Engineering Flight data and low spatial domain multipath effect affect traction target data over the years.Range value judges that the selection of the factor is the consideration based on electromagnetic wave received energy, and the false target that real goal electromagnetic wave reception signal energy is necessarily greater than after Multipath reflection receives signal energy.Show through engineering practice checking, in the same traction cycle proposing by this patent within the same traction cycle, multipath effect judgment criterion can be identified false target automatically, and efficiently by its rejecting.
Step 5, according to low spatial domain target excessive routing influence thresholding correlation time computing formula, low spatial domain target excessive routing influence thresholding correlation time is set, all definite targets are carried out to periodic test, really set the goal and report being not more than correlation time thresholding, and finish this detection of a target processing, be greater than the definite of dependent threshold and enter the next inquiry maintenance test cycle;
Wherein, the computing method of low spatial domain target excessive routing influence thresholding correlation time are: t=Az (xwkz)/360 * T, wherein Az (xwkz) refers to the angle of hardware inquiry control gate in Target Towing system, and T is the inquiry maintenance test cycle.Generally speaking, inquire that the maintenance test cycle refers to that antenna rotating platform revolves the time of turning around if equipment is installed on mechanical radar, inquire that the maintenance test cycle refers to the time that scape command scheduling one encloses if equipment is installed on phased-array radar.
By above-mentioned implementation method, can make true and false judgement to the target after the target Multi-Path Effects of low spatial domain, and affected false target is rejected, while application in ground secondary radar and airborne secondary radar, can improve the quality of data that monitors target, strengthen reliability and the stability of secondary radar system.
Claims (6)
1. the low spatial domain Multipath reflection inhibition method of a based target trailer system, concrete grammar step is:
Step 1, data fusion module receives and preserves in real time the historical point of traction target mark data, historical target is carried out to periodicity inquire maintenance test, judges whether to meet target inquiry time-to-live criterion, be to enter next step, otherwise its historical data is removed;
Wherein, described target inquiry time-to-live criterion is: current time and the mistiming of historical target update time are not more than the target inquiry time-to-live;
Step 2, all historical targets and fresh target are carried out to position correlation judgement, judge the distance in fresh target point mark data and historical target data, whether orientation is all not more than associated gate limit value, there is the position of a historical target and a fresh target to be all not more than associated gate limit value, this history target is converted into and determines that target enters next step, if fresh target and all historical targets are all greater than associated gate limit value, using this fresh target as non-definite target update, finish the processing of this traction target, and non-definite target after upgrading participates in inquiry maintenance test cycle of next round as historical target,
Step 3, calculates current time and the mistiming of definite target update time, the renewal of fresh target is classified according to this mistiming, in the time that the mistiming is not more than threshold value, thinks that fresh target is the renewal in the same traction cycle, enters next step; Otherwise this fresh target being divided to the renewal being classified as in the non-same traction cycle, is directly the processing that finishes this traction target after historical target data by fresh target Data Update;
Step 4, screens fresh target according to multipath effect judgment criterion in the same traction cycle; Judgment criterion is: with contrasting with range value and poor range value in fresh target point mark data and definite target historical data, there are fresh target data greatly to use this history target data of fresh target Data Update than a historical target data, and be defined as real goal and enter next step, all not quite this fresh target is abandoned;
Step 5, according to low spatial domain target excessive routing influence thresholding correlation time computing formula, low spatial domain target excessive routing influence thresholding correlation time is set, all definite targets are carried out to periodic test, really set the goal and report being not more than correlation time thresholding, and finish this detection of a target processing, be greater than the definite of dependent threshold and enter the next inquiry maintenance test cycle;
Wherein, the computing method of low spatial domain target excessive routing influence thresholding correlation time are: t=Az (xwkz)/360 * T, wherein Az (xwkz) refers to the angle of hardware inquiry control gate in Target Towing system, and T is the inquiry maintenance test cycle.
2. the low spatial domain Multipath reflection inhibition method of based target trailer system according to claim 1, in described step 1, target inquiry time-to-live=effective acting time+shake time.
3. the low spatial domain Multipath reflection inhibition method of based target trailer system according to claim 2, the described shake time is 10% of the inquiry cycle.
4. the low spatial domain Multipath reflection inhibition method of based target trailer system according to claim 1, in described step 2, carries out position correlation judgement according to target location attribute information.
5. the low spatial domain Multipath reflection inhibition method of based target trailer system according to claim 4, in position correlation judgement in described step 2, the computing method of false proof dependent threshold are: AzCorrGate=((R (max) – R (new))/6000) * 0.12+AzCorr (min); Wherein R (max) is Target Towing system maximum radar range, R (new) is the distance of traction target detection, the minimum dependent threshold in the orientation of its setting when AzCorr (min) is the relative radar minor increment of traction target.
6. the low spatial domain Multipath reflection inhibition method of based target trailer system according to claim 1, described method also comprises: after step 1 finishes, judge that whether historical target is to determine target, is directly to enter step 3, otherwise enters step 2.
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| WO2022165741A1 (en) * | 2021-02-05 | 2022-08-11 | Qualcomm Incorporated | Multiple-link routing for time-sensitive communications |
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