CN108919268A - A kind of Track initialization algorithm based on unmanned plane surveillance radar - Google Patents

A kind of Track initialization algorithm based on unmanned plane surveillance radar Download PDF

Info

Publication number
CN108919268A
CN108919268A CN201810699176.9A CN201810699176A CN108919268A CN 108919268 A CN108919268 A CN 108919268A CN 201810699176 A CN201810699176 A CN 201810699176A CN 108919268 A CN108919268 A CN 108919268A
Authority
CN
China
Prior art keywords
track
temporary
unilateral
temporary track
assumed
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
Application number
CN201810699176.9A
Other languages
Chinese (zh)
Other versions
CN108919268B (en
Inventor
陈娟
刘浩
马磊
任翔
余飞侠
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Anhui Sun Create Electronic Co Ltd
Original Assignee
Anhui Sun Create Electronic Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Anhui Sun Create Electronic Co Ltd filed Critical Anhui Sun Create Electronic Co Ltd
Priority to CN201810699176.9A priority Critical patent/CN108919268B/en
Publication of CN108919268A publication Critical patent/CN108919268A/en
Application granted granted Critical
Publication of CN108919268B publication Critical patent/CN108919268B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/91Radar or analogous systems specially adapted for specific applications for traffic control

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Physics & Mathematics (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The invention discloses a kind of Track initialization algorithms based on unmanned plane surveillance radar, including:System carries out the related judgement of unilateral more hypothesis to the point mark of radar scanning, forms the temporary track of unilateral more hypothesis;The temporary track initiation of multi-model is carried out to the unilateral temporary tracks assumed to determine more, forms the temporary track for meeting track initiation condition;Track filtering judgement is carried out to the temporary track for meeting track initiation condition, is formed and stablizes track.The present invention solves the problems, such as that unmanned aerial vehicle flight path starting is difficult, clutter area false-alarm is serious, improves the monitoring efficiency of unmanned plane.

Description

A kind of Track initialization algorithm based on unmanned plane surveillance radar
Technical field
The present invention relates to three coordinate Connectors for Active Phased Array Radar low-altitude surveillance fields, especially a kind of to monitor thunder based on unmanned plane The Track initialization algorithm reached.
Background technique
In recent years, with the rapid development of unmanned air vehicle technique, unmanned plane is expanded to from original military markets on a large scale Commercial market, black winged caused safety accident is commonplace, and the field control of China low latitude is made to subject grave danger.Frontier defense, The national security such as people's air defense, public security are defendd under the urgent need of department, and unmanned plane surveillance radar gradually rises.
Since civilian unmanned plane generallys use nonmetallic fuselage and body volume is small, cause RCS reflection cross section small, radar Detect that echo is weak, and especially flying speed is slow, flying height is low, the flexible feature of flight, allow the detection and tracking of unmanned plane at For problem generally acknowledged in the industry, wherein since prior information is insufficient, target maneuver is big, the discontinuous feature of target detection, cause Unmanned aerial vehicle flight path starting is difficult, difficulties that clutter area false-alarm seriously has become unmanned plane monitoring.
Summary of the invention
In order to overcome the defects of the prior art described above, the present invention provides a kind of track initiation based on unmanned plane surveillance radar Algorithm solves the problems, such as that unmanned aerial vehicle flight path starting is difficult, clutter area false-alarm is serious, improves the monitoring efficiency of unmanned plane.
To achieve the above object, the present invention uses following technical scheme, including:
A kind of Track initialization algorithm based on unmanned plane surveillance radar, which is characterized in that include the following steps:
S1, system receives the first frame point mark data of radar scanning, to all the points mark in the first frame point mark data Establish temporary track;Described mark data include:Three-dimensional coordinate information, temporal information, attribute value, the range value of point mark;
S2, system receive radar scanning next frame point mark data, by each of this next frame point mark data mark with Established every temporary track carry out it is unilateral assume it is related determine, judge this next frame point mark whether deposit with it is established Temporary track is related, if the certain point mark in this next frame point mark is related to established a certain temporary track, by the correlation Point mark is associated with forms the unilateral temporary track assumed more on the established temporary track;If a certain in this next frame point mark Point mark and established every temporary track are uncorrelated, then establish temporary track according to the mark;
S3 carries out the temporary track initiations of multi-model to the unilateral temporary tracks more assumed and determines, judges unilateral more hypothesis Whether temporary track meets track initiation condition, will the be unilateral multiple temporary track initiation models of temporary track cascade assumed more, Judge whether the unilateral temporary track assumed meets the initial conditions of one of them temporary track initiation model more, if satisfied, then The unilateral temporary tracks assumed are the temporary track for meeting track initiation condition more;If being not satisfied, unilateral more hypothesis Temporary track be unsatisfactory for track initiation condition, the unilateral temporary tracks assumed more wait carried out with next frame point mark data it is single Side assume more it is related determine, and if the unilateral temporary tracks assumed more there is no reference point mark in certain continuous frame number, Then delete the unilateral temporary tracks assumed more;
S4 carries out track filtering judgement to the temporary track for meeting track initiation condition, and judgement meets track initiation condition Temporary track whether by track filtering handle, if by track filtering processing, meet the temporary boat of track initiation condition Mark forms stable track;If not handling by track filtering, the temporary track for meeting track initiation condition is deleted;
Wherein, step S1, in S2, the point mark for establishing temporary track is track head.
In step S2, unilateral more hypothesis are related to be determined to use Comprehensis pertaining related algorithm, the Comprehensis pertaining Related algorithm is specific as follows:According to the degree of membership of established every temporary track and point mark characterization factor, and according to having been established Every temporary track and point the mark motion state factor degree of membership, calculate point mark and established every temporary track synthesis Degree of membership, Comprehensis pertaining meet thresholding set by user for correlation.
If multiple marks in established temporary track and this next frame point mark are related, temporary track carries out optimal Reference point mark is selected, established temporary track only retain a reference point mark formed it is unilateral assume temporary track, it is described most Advantage mark is selected:According to the Comprehensis pertaining of established temporary track and each mark, it is highest to select Comprehensis pertaining Point mark is the optimal reference point mark of temporary track, retains this optimal reference point mark.
In step S3, the temporary track initiation of multi-model determines, comprises the following specific steps that:
S31 calculates each frame point mark and the unilateral temporary track more assumed for forming the unilateral temporary track assumed more Comprehensis pertaining, statistic for receiver degree of membership belong to the frame number HighSubCnt of high degree of membership, belong to the frame number of very high degree of membership VeryHighSubCnt;
S32 calculates each frame point mark and the unilateral temporary track more assumed for forming the unilateral temporary track assumed more Course consistency, statistics course consistency belong to the consistent frame number HighCourseUniformCnt in course, belong to course height Consistent frame number VeryHighCourseUniformCnt;
S33, each frame point mark that statistics forms the unilateral temporary track assumed more belong to clutter area frame number CluterCnt;
S34 judges whether the unilateral temporary track assumed belongs to clutter area more according to clutter area frame number CluterCnt, if No, then the starting for carrying out temporary track initiation model 1 to the unilateral temporary tracks assumed determines more, executes step S35; If so, the starting for carrying out temporary track initiation model 2 to the unilateral temporary tracks assumed determines more, step S36 is executed;
S35, judges whether the unilateral temporary track assumed meets the initial conditions of temporary track initiation model 1 more, if so, Then the unilateral temporary tracks assumed meet the initial conditions of temporary track more;If it is not, then to the unilateral temporary boats assumed more The starting that mark carries out temporary track initiation model 3 determines, executes step S38;
S36, judges whether the unilateral temporary track assumed meets the initial conditions of temporary track initiation model 2 more, if so, Then the unilateral temporary tracks assumed meet the initial conditions of temporary track more;If it is not, thening follow the steps S37;
S37, judges whether the unilateral temporary tracks assumed belong to similar clear area more, if so, unilateral mostly false to this If temporary track carry out temporary track initiation model 3 starting determine, execute step S38;If it is not, then this unilateral assumes more Temporary track is unsatisfactory for the initial conditions of temporary track;The similar clear area:Temporary track belongs to clutter area frame number The ratio of CluterCnt and temporary Track forming frame number FrameCnt is less than clutter area frame number threshold value CleanFrameThresold;
S38, judges whether the unilateral temporary track assumed meets the initial conditions of temporary track initiation model 3 more, if so, Then the unilateral temporary tracks assumed meet the initial conditions of temporary track more;If it is not, the then unilateral temporary tracks assumed more It is unsatisfactory for the initial conditions of temporary track;
Wherein, the track initiation condition of temporary track initiation model 1:
HighSubThresold is high degree of membership frame number thresholding;
HighCourseUniformThresold is the consistent frame number thresholding in course;
The track initiation condition of temporary track initiation model 2:
VeryHighSubThresold is very high degree of membership frame number thresholding;
VeryHighCourseUniformThresold is the consistent frame number thresholding of course height;
The track initiation condition of temporary track initiation model 3:
FrameCnt is the formation frame number of the unilateral temporary track assumed more;
CleanFrameThresold is clutter area frame number thresholding;
InitFrameCnt is the unilateral temporary track initiation frame number assumed more;
InitFrameThresold is starting thresholding;
LostCnt is to lose a frame number;
FrameCnt is the unilateral temporary Track forming frame number assumed more;
Sub is Comprehensis pertaining;
SubThresold is dependent threshold.
In step S31, if the Comprehensis pertaining is more than or equal to 0.8 and less than 0.85, belong to high degree of membership; If the Comprehensis pertaining is more than or equal to 0.85 and less than 1, belong to very high degree of membership.
In step S32, if the course consistency is to belong to course one greater than 0.5 degree and when being less than or equal to 1.5 degree It causes;If the course consistency is that it is consistent to belong to course height less than or equal to 0.5 degree and when being greater than 0 degree.
In step S4, the track filtering determines to carry out first order filtering, the first order filtering:It is every according to radar scanning The distance that the point mark data calculating of one frame meets the temporary track head and the tail point of track initiation condition meets track initiation condition with this Temporary track after voyage ratio, judge the ratio whether be greater than clutter shake thresholding, if so, passing through the first order Filtering;If it is not, then deleting the temporary track for meeting track initiation condition.
Second level filtering, the second level filter are carried out by the temporary track for meeting track initiation condition that the first order filters Wave:Whether meet the continuity point mark that belongs in the temporary track of track initiation condition forbid in initiation region using the judgement of sliding window method Reach the threshold value of setting, if so, deleting the temporary track for meeting track initiation condition;If it is not, then being filtered by the second level Wave is determined by track filtering, formed and stablize track;It is described that initiation region is forbidden not allow to establish temporarily for user setting The region of track.
The advantage of the invention is that:
(1) present invention determines solve since target maneuver is big and noise jamming causes using unilateral more hypothesis are related The problem that mark cannot be related to established temporary track is put, meanwhile, avoid temporary track establishes quantity explosive increase, section Save computer resource.
(2) present invention is determined using multi-model track initiation, and temporary track initiation model is according to the state of flight of target It is extended with clutter environment, ensure that unmanned plane can be originated quickly under varying environment, different flight state.
(3) of the invention 3 temporary track initiation models be respectively suitable for temporary track belong to clutter area, non-clutter area, Similar clear area in clutter area, ensure that target start efficiency, while can be effectively controlled false-alarm.
(4) present invention is determined using track filtering, is eliminated interference of the clutter to temporary track, is reduced false alarm rate.
(5) two-stage track filtering of the invention processing, the first order are filtered into clutter reduction interference, and the second level is filtered into user Field optimizing is provided, this mode is suitable for different user community and usage scenario, improves user experience.
Detailed description of the invention
Fig. 1 is the algorithm flow chart of Track initialization algorithm of the invention.
Fig. 2 is the unilateral method flow diagrams for assuming related judgement of the invention more.
Fig. 3 is the method flow diagram that the temporary track initiation of multi-model of the invention determines.
Fig. 4 is the method flow diagram that temporary track filtering of the invention determines.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, a kind of Track initialization algorithm based on unmanned plane surveillance radar, includes the following steps:
S1, radar carry out the scanning of first frame, the received first frame point mark data of system, and point mark data include:Point mark Three-dimensional coordinate information, temporal information, attribute value, range value, and all the points mark in first frame point mark data is established temporarily Track.
S2, radar carry out the scanning of the second frame, this received frame point mark data of system, by each of this frame point mark data Point mark and established every temporary track carry out it is unilateral more than the related judgement of hypothesis, judge by the point mark in this frame point mark whether Related to established temporary track, certain point mark is related to established a certain temporary track if it exists, then by the reference point Mark is associated with forms the unilateral temporary track assumed more on the established temporary track;If certain point mark and every established Temporary track is uncorrelated, then establishes temporary track with the mark.
S3 carries out the temporary track initiations of multi-model to the unilateral temporary tracks more assumed and determines, judges unilateral more hypothesis Whether temporary track meets track initiation condition, and will the be unilateral temporary track 3 temporary track initiation models of cascade assumed are sentenced more Whether the unilateral temporary track assumed that breaks meets the initial conditions of one of them temporary track initiation model more, if satisfied, then should The unilateral temporary track assumed is the temporary track for meeting track initiation condition more;If being not satisfied, unilateral more hypothesis Temporary track is unsatisfactory for track initiation condition, using the unilateral temporary tracks assumed more as established temporary track wait with Third frame point mark data carry out the related judgement of unilateral mostly hypothesis, and so on, it is unsatisfactory for unilateral more hypothesis of track initiation condition Temporary track wait and carry out the related judgement of unilateral more hypothesis with next frame point mark data, and if the unilateral mostly hypothesis temporary boats Mark does not have reference point mark in continuous three frame, then deletes the unilateral temporary tracks assumed more.
S4 carries out track filtering judgement to the temporary track for meeting track initiation condition, rejects clutter and rise to temporary track The interference of beginning, track filtering are divided into two stage filter, and the first order is filtered into clutter shaking point and filters out, and the second level, which is filtered into, to be forbidden originating Temporary track in region filters out, and whether the temporary track that judgement meets track initiation condition passes through the two-stage filter of track filtering Wave, if by two stage filter, which then forms stable track;If not filtered by two-stage Wave then deletes the temporary track for meeting track initiation condition.
Wherein, the point mark that temporary track step S1, is established in S2 is track head.
In step S2, as shown in Figure 2, the unilateral methods assuming temporary track correlation and determining include the following steps more:
S21 calculates the degree of membership SubAttribute of established temporary track and point mark characterization factor, such as 1 institute of formula Show, wherein plotAttributeiFor the point mark attribute value of mark characterization factor i, TTAttributeiFor temporary track attribute value, normalizedAttributeiFor normalized value, the maximum fluctuation range of this feature factor, Factor are usually takeniFor a mark spy Factor i is levied to a contribution for mark feature degree of membership, maximum value takes 1, and the degree of membership of point mark characterization factor is to calculate n mark spies Levy the Comprehensis pertaining of the factor.
S22 calculates the degree of membership SubDynamic of established temporary track and the point mark motion state factor, such as formula 2 It is shown, wherein plotDynamiciFor a state of motion value of mark motion state factor i, TTDynamiciFor the movement of temporary track State value, normalizedDynamiciFor normalized value, the maximum fluctuation range of the motion state factor, Factor are usually takeni It is a mark motion state factor i to a contribution for mark motion state degree of membership, maximum value takes 1, puts the degree of membership of mark motion state For the Comprehensis pertaining for calculating m mark motion states.
S23, according to the degree of membership SubAttribute of established temporary track and point mark characterization factor, and according to built The degree of membership SubDynamic of vertical temporary track and the point mark motion state factor, calculates Comprehensis pertaining Sub, such as 3 institute of formula Show, wherein k is point mark characterization factor degree of membership ratio, and maximum value takes 1, has measured point mark characterization factor and the point mark motion state factor To a ratio for mark degree of membership contribution.
Sub=SubAttribute × k+SubDynamic × (1-k);Formula 3
S24 judges whether Comprehensis pertaining Sub is greater than thresholding set by user, in the present embodiment, is by this threshold sets 0.6, if so, temporarily track is related to point mark, execute step S25;If it is not, thening follow the steps S26.
S25 carries out optimal reference point mark to all reference point marks that temporary track has been established and selects, established temporary boat Mark finally only retains a reference point mark and forms unilateral more temporary tracks of hypothesis;All reference point marks are selected:It compares established The Comprehensis pertaining of temporary track and each mark, highest mark of Comprehensis pertaining are the optimal reference point mark of temporary track, Retain this optimal reference point mark.
Finally only retain reference point mark is associated on established temporary track and forms unilateral more hypothesis by S26 Temporary track.
Wherein, established temporary track is at most only related to mark in each frame point mark data, is formed unilateral The temporary track more assumed.
In step S3, as shown in figure 3, the method that the temporary track initiation of multi-model determines, includes the following steps:
S31, calculates the point mark for forming the unilateral temporary track assumed more and unilateral the comprehensive of the temporary track assumed is subordinate to more Category degree, statistic for receiver degree of membership belong to the frame number HighSubCnt of high degree of membership, belong to the frame number of very high degree of membership VeryHighSubCnt;
The Comprehensis pertaining is the Comprehensis pertaining Sub that is calculated in step S23, and in the present embodiment, synthesis is subordinate to Degree is then to belong to high degree of membership more than or equal to 0.8 and less than 0.85;Comprehensis pertaining be more than or equal to 0.85 and less than 1, Then belong to very high degree of membership.
S32 calculates the course of the point mark for forming the unilateral temporary track assumed and the unilateral temporary track assumed more more Consistency, statistics course consistency belong to the consistent frame number HighCourseUniformCnt in course, it is consistent to belong to course height Frame number VeryHighCourseUniformCnt;
The course consistency is the point mark and this unilateral temporary boat assumed to form the unilateral temporary track assumed more more The heading crossing angle of mark, in the present embodiment, course consistency is that it is consistent then to belong to course less than or equal to 1.5 degree and greater than 0.5 degree; Course consistency is that it is consistent then to belong to course height less than or equal to 0.5 degree and greater than 0 degree.
S33, the point mark that statistics forms the unilateral temporary track assumed more belongs to clutter area frame number CluterCnt, to temporary Track carries out the judgement of clutter area, if belonging to non-clutter area, i.e. clutter area frame number CluterCnt is 0, thens follow the steps S34;If belonging to In clutter area, i.e. clutter area frame number CluterCnt is greater than 0, thens follow the steps S35.
S34 judges whether the initial conditions for meeting temporary track initiation model 1, if satisfied, thening follow the steps S38;If no Meet, thens follow the steps S37;The initial conditions:The frame number HighSubCnt of high degree of membership, the consistent frame number in course HighCourseUniformCnt meets high degree of membership frame number thresholding HighSubThresold, the consistent frame number thresholding in course HighCourseUniformThresold, as shown in relational expression 1.
S35 judges whether the initial conditions for meeting temporary track initiation model 2, if satisfied, thening follow the steps S38;If no Meet, thens follow the steps S36;The initial conditions:The frame number VeryHighSubCnt of very high degree of membership, course height are consistent Frame number VeryHighCourseUniformCnt meets very high degree of membership frame number thresholding VeryHighSubThresold, course height Consistent frame number thresholding VeryHighCourseUniformThresold is spent, as shown in relational expression 2.
S36 judges whether to belong to similar clear area, if so, thening follow the steps S37;If it is not, thening follow the steps S39;Institute State similar clear area:The unilateral temporary track assumed more belong to clutter area frame number CluterCnt and it is unilateral assume it is temporary Track forming frame number FrameCnt ratio is less than clutter area frame number threshold value CleanFrameThresold.
S37 judges whether the initial conditions for meeting temporary track initiation model 3, if satisfied, thening follow the steps S38;If no Meet, thens follow the steps S39;The initial conditions:Target flight track is discontinuous, that is, exists and lose a frame number LostCnt, originates Frame number InitFrameCnt dynamically increases on the basis of originating thresholding InitFrameThresold loses a frame number, judges unilateral Whether the temporary Track forming frame number FrameCnt more assumed, which meets, is greater than starting frame number, and whether Comprehensis pertaining Sub meets Greater than degree of membership threshold value SubThresold, as shown in relational expression 3.
S38, which is the temporary track for meeting track initiation condition.
S39 is waited and next frame point mark data more using the unilateral temporary tracks assumed as established temporary track Carry out it is unilateral assume it is related determine, and if the unilateral temporary tracks assumed more there is no reference point mark in continuous three frame, Then delete the unilateral temporary tracks assumed more.
Wherein, the temporary track initiation of multi-model determines to be applicable in all temporary tracks, in the present embodiment, to step S2 The unilateral temporary tracks assumed of middle formation carry out the temporary track initiation of multi-model and determine more.
The temporary track initiation model that the temporary track initiation of multi-model determines is according to the state of flight of target and clutter ring What border was extended, in the present embodiment, the temporary track initiation of multi-model determines to include 3 temporary track initiation models, wherein temporarily When track initiation model 1:Suitable for belonging to the temporary track in non-clutter area;Temporary track initiation model 2:Suitable for belonging to clutter The temporary track in area;Temporary track initiation model 3:The temporary of track initiation model 1 is unsatisfactory for suitable for belonging to non-clutter area Track, and apply also for belonging to the temporary track of the similar clear area in clutter area.
In the present embodiment, high degree of membership frame number thresholding HighSubThresold is 3 frames;
Very high degree of membership frame number thresholding VeryHighSubThresold is 4 frames;
The consistent frame number thresholding HighCourseUniformThresold in course is 3 frames;
Height consistent frame number thresholding VeryHighCourseUniformThresold in course is 4 frames;
Clutter area frame number thresholding CleanFrameThresold is 3/8;
Degree of membership threshold value SubThresold is 0.8.
In step S4, as shown in figure 3, the method that temporarily track filtering determines, includes the following steps:
S41, record meet first point location information FirstX, FirstY when the temporary track creation of track initiation condition; Record meets the voyage information TotalRoute of each frame of temporary track of track initiation condition;Record meets track initiation condition Temporary track tail dot position information EndX, EndY.
S42 calculates the ratio between the distance for meeting the temporary track head and the tail point of track initiation condition and voyage.
Whether S43, the temporary track that judgement meets track initiation condition are filtered by the first order, and judgement meets track initiation Whether the ratio between distance and voyage of the temporary track head and the tail point of condition, which are less than clutter, is shaken thresholding ShakeThresold, this implementation In example, it is 0.7 that clutter, which shakes thresholding ShakeThresold, as shown in formula 4, if so, not passing through, executes step S47;It is no Then, it is filtered by the first order, executes step S44.
S44, one fan-shaped region of user setting are to forbid initiation region, and forbidding initiation region is not allow to establish temporary boat The region of mark.
S45, judges whether temporary track is filtered by the second level, method of the second level filtering using sliding window filtering, sliding Fan-shaped starting initiation region, traversal form all the points mark of temporary track, and judgement meets the temporary track of track initiation condition In belong to the quantity for forbidding the mark of the continuity point in initiation region whether to reach setting, in the present embodiment, the quantity set as 3, If so, not passing through, step S47 is executed;Otherwise, it is filtered by the second level, executes step S46;
S46 is formed and is stablized track.
S47 deletes the temporary track for meeting track initiation condition.
Wherein, the first order is filtered into filtering clutter and shakes point, when the formation point mark of temporary track is that clutter shakes point When, then the distance of temporary track head and the tail point be less than temporary track after voyage;The second level, which is filtered into filter out, has forbidden The temporary track formed in beginning region.
The above is only the preferred embodiments of the invention, are not intended to limit the invention creation, all in the present invention Made any modifications, equivalent replacements, and improvements etc., should be included in the guarantor of the invention within the spirit and principle of creation Within the scope of shield.

Claims (8)

1. a kind of Track initialization algorithm based on unmanned plane surveillance radar, which is characterized in that include the following steps:
S1, system receive the first frame point mark data of radar scanning, build to all the points mark in the first frame point mark data Found temporary track;Described mark data include:Three-dimensional coordinate information, temporal information, attribute value, the range value of point mark;
S2, system receive radar scanning next frame point mark data, by each of this next frame point mark data mark with it is built The temporary track of vertical every carry out it is unilateral assume it is related determine, judge this next frame point mark whether deposit with it is established temporarily Track is related, if the certain point mark in this next frame point mark is related to established a certain temporary track, by the reference point mark It is associated with and forms the unilateral temporary track assumed more on the established temporary track;If the certain point mark in this next frame point mark It is uncorrelated to established every temporary track, then temporary track is established according to the mark;
S3 carries out the temporary track initiations of multi-model to the unilateral temporary tracks more assumed and determines, judges the temporary of unilateral more hypothesis Whether track meets track initiation condition, will be unilateral more the temporary track assumed cascade multiple temporary track initiation models, judgement Whether the unilateral temporary track assumed meets the initial conditions of one of them temporary track initiation model more, if satisfied, the then list The temporary track that side is assumed more is the temporary track for meeting track initiation condition;If being not satisfied, this it is unilateral assume it is temporary When track be unsatisfactory for track initiation condition, the unilateral temporary tracks assumed more wait carried out with next frame point mark data it is unilateral more Assuming that related determine, and if the unilateral temporary tracks assumed more there is no reference point mark in certain continuous frame number, delete Except the unilateral temporary tracks assumed more;
S4 carries out track filtering judgement to the temporary track for meeting track initiation condition, and judgement meets the temporary of track initiation condition When track whether by track filtering handle, if by track filtering processing, meet the temporary track shape of track initiation condition At stablizing track;If not handling by track filtering, the temporary track for meeting track initiation condition is deleted;
Wherein, step S1, in S2, the point mark for establishing temporary track is track head.
2. a kind of Track initialization algorithm based on unmanned plane surveillance radar according to claim 1, which is characterized in that step In S2, unilateral more hypothesis are related to be determined to use Comprehensis pertaining related algorithm, and the Comprehensis pertaining related algorithm is specific It is as follows:It temporarily navigates according to the degree of membership of established every temporary track and point mark characterization factor, and according to established every The degree of membership of mark and the point mark motion state factor calculates the Comprehensis pertaining of point mark and established every temporary track, comprehensive Degree of membership meets thresholding set by user for correlation.
3. a kind of Track initialization algorithm based on unmanned plane surveillance radar according to claim 2, which is characterized in that if When the multiple marks in temporary track and this next frame point mark established are related, temporary track carries out optimal reference point mark and selects for a post Choosing, established temporary track only retain a reference point mark and form unilateral more temporary tracks of hypothesis, and the optimum point mark is selected: According to the Comprehensis pertaining of established temporary track and each mark, selecting highest mark of Comprehensis pertaining is temporarily to navigate The optimal reference point mark of mark retains this optimal reference point mark.
4. a kind of Track initialization algorithm based on unmanned plane surveillance radar according to claim 3, which is characterized in that step In S3, the temporary track initiation of multi-model determines, comprises the following specific steps that:
S31 calculates the synthesis of each frame point mark for forming the unilateral temporary track assumed and the unilateral temporary track assumed more more Degree of membership, statistic for receiver degree of membership belong to the frame number HighSubCnt of high degree of membership, belong to the frame number of very high degree of membership VeryHighSubCnt;
S32 calculates the course of each frame point mark for forming the unilateral temporary track assumed and the unilateral temporary track assumed more more Consistency, statistics course consistency belong to the consistent frame number HighCourseUniformCnt in course, it is consistent to belong to course height Frame number VeryHighCourseUniformCnt;
S33, each frame point mark that statistics forms the unilateral temporary track assumed more belong to clutter area frame number CluterCnt;
S34 judges whether the unilateral temporary track assumed belongs to clutter area more according to clutter area frame number CluterCnt, if it is not, then The starting for carrying out temporary track initiation model 1 to the unilateral temporary tracks assumed determines more, executes step S35;If so, The starting for then carrying out temporary track initiation model 2 to the unilateral temporary tracks assumed determines more, executes step S36;
S35, judges whether the unilateral temporary track assumed meets the initial conditions of temporary track initiation model 1 more, if so, should The unilateral temporary track assumed meets the initial conditions of temporary track more;If it is not, then to the unilateral temporary tracks assumed more into The starting of the temporary track initiation model 3 of row determines, executes step S38;
S36, judges whether the unilateral temporary track assumed meets the initial conditions of temporary track initiation model 2 more, if so, should The unilateral temporary track assumed meets the initial conditions of temporary track more;If it is not, thening follow the steps S37;
S37, judges whether the unilateral temporary tracks assumed belong to similar clear area more, if so, to unilateral more hypothesis The starting that temporary track carries out temporary track initiation model 3 determines, executes step S38;If it is not, then this it is unilateral assume it is temporary Track is unsatisfactory for the initial conditions of temporary track;The similar clear area:Temporary track belong to clutter area frame number CluterCnt with The ratio of temporary Track forming frame number FrameCnt is less than clutter area frame number threshold value CleanFrameThresold;
S38, judges whether the unilateral temporary track assumed meets the initial conditions of temporary track initiation model 3 more, if so, should The unilateral temporary track assumed meets the initial conditions of temporary track more;If it is not, then the unilateral temporary tracks assumed discontented more The initial conditions of the temporary track of foot;
Wherein, the track initiation condition of temporary track initiation model 1:
HighSubThresold is high degree of membership frame number thresholding;
HighCourseUniformThresold is the consistent frame number thresholding in course;
The track initiation condition of temporary track initiation model 2:
VeryHighSubThresold is very high degree of membership frame number thresholding;
VeryHighCourseUniformThresold is the consistent frame number thresholding of course height;
The track initiation condition of temporary track initiation model 3:
FrameCnt is the formation frame number of the unilateral temporary track assumed more;
CleanFrameThresold is clutter area frame number thresholding;
InitFrameCnt is the unilateral temporary track initiation frame number assumed more;
InitFrameThresold is starting thresholding;
LostCnt is to lose a frame number;
FrameCnt is the unilateral temporary Track forming frame number assumed more;
Sub is Comprehensis pertaining;
SubThresold is dependent threshold.
5. a kind of Track initialization algorithm based on unmanned plane surveillance radar according to claim 4, which is characterized in that step In S31, if the Comprehensis pertaining is more than or equal to 0.8 and less than 0.85, belong to high degree of membership;If the comprehensive person in servitude When category degree is more than or equal to 0.85 and less than 1, then belong to very high degree of membership.
6. a kind of Track initialization algorithm based on unmanned plane surveillance radar according to claim 4, which is characterized in that step In S32, if the course consistency is that it is consistent to belong to course greater than 0.5 degree and when being less than or equal to 1.5 degree;If the boat When to consistency being less than or equal to 0.5 degree and greater than 0 degree, then it is consistent to belong to course height.
7. a kind of Track initialization algorithm based on unmanned plane surveillance radar according to claim 1, which is characterized in that step In S4, the track filtering determines to carry out first order filtering, the first order filtering:According to the point mark number of each frame of radar scanning It is gone through according to the temporary track that the distance for calculating the temporary track for meeting track initiation condition head and the tail point meets track initiation condition with this The ratio of the voyage of warp, judges whether the ratio is greater than clutter and shakes thresholding, if so, being filtered by the first order;If it is not, then Delete the temporary track for meeting track initiation condition.
8. a kind of Track initialization algorithm based on unmanned plane surveillance radar according to claim 7, which is characterized in that pass through The temporary track for meeting track initiation condition of first order filtering carries out second level filtering, the second level filtering:Using sliding window Method judgement, which meets to belong in the temporary track of track initiation condition, forbids whether the continuity point mark in initiation region reaches setting Threshold value, if so, deleting the temporary track for meeting track initiation condition;If it is not, then filtering by the second level, that is, pass through boat Mark filtering determines, is formed and stablizes track;It is described to forbid initiation region for the region for not allowing to establish temporary track of user setting.
CN201810699176.9A 2018-06-29 2018-06-29 Track initiation algorithm based on unmanned aerial vehicle monitoring radar Active CN108919268B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810699176.9A CN108919268B (en) 2018-06-29 2018-06-29 Track initiation algorithm based on unmanned aerial vehicle monitoring radar

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810699176.9A CN108919268B (en) 2018-06-29 2018-06-29 Track initiation algorithm based on unmanned aerial vehicle monitoring radar

Publications (2)

Publication Number Publication Date
CN108919268A true CN108919268A (en) 2018-11-30
CN108919268B CN108919268B (en) 2020-11-24

Family

ID=64424362

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810699176.9A Active CN108919268B (en) 2018-06-29 2018-06-29 Track initiation algorithm based on unmanned aerial vehicle monitoring radar

Country Status (1)

Country Link
CN (1) CN108919268B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110346789A (en) * 2019-06-14 2019-10-18 北京雷久科技有限责任公司 A kind of multi-panel battle array radar system and Data Fusion method
CN111175738A (en) * 2020-01-08 2020-05-19 中国船舶重工集团公司第七二四研究所 Multi-model membership control-based rapid navigation method for phased array radar target

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101893441A (en) * 2010-06-13 2010-11-24 南京航空航天大学 Unmanned aerial vehicle flight path optimization method based on deviation maximization and grey correlation analysis
WO2010138696A1 (en) * 2009-05-27 2010-12-02 Sensis Corporation System and method for passive range-aided multilateration using time lag of arrival (tloa) measurements
CN102194332A (en) * 2011-03-24 2011-09-21 中国船舶重工集团公司第七○九研究所 Self-adaptation flight path data correlation method
CN103471592A (en) * 2013-06-08 2013-12-25 哈尔滨工程大学 Multi-unmanned aerial vehicle route planning method based on bee colony collaborative foraging algorithm
CN105223559A (en) * 2015-10-13 2016-01-06 长安大学 A kind of long-range radar track initiation method switched that walks abreast
CN106908066A (en) * 2017-04-25 2017-06-30 西安电子科技大学 The path planning method of the unmanned plane monitoring covering single step optimizing based on genetic algorithm

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010138696A1 (en) * 2009-05-27 2010-12-02 Sensis Corporation System and method for passive range-aided multilateration using time lag of arrival (tloa) measurements
CN101893441A (en) * 2010-06-13 2010-11-24 南京航空航天大学 Unmanned aerial vehicle flight path optimization method based on deviation maximization and grey correlation analysis
CN102194332A (en) * 2011-03-24 2011-09-21 中国船舶重工集团公司第七○九研究所 Self-adaptation flight path data correlation method
CN103471592A (en) * 2013-06-08 2013-12-25 哈尔滨工程大学 Multi-unmanned aerial vehicle route planning method based on bee colony collaborative foraging algorithm
CN105223559A (en) * 2015-10-13 2016-01-06 长安大学 A kind of long-range radar track initiation method switched that walks abreast
CN106908066A (en) * 2017-04-25 2017-06-30 西安电子科技大学 The path planning method of the unmanned plane monitoring covering single step optimizing based on genetic algorithm

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110346789A (en) * 2019-06-14 2019-10-18 北京雷久科技有限责任公司 A kind of multi-panel battle array radar system and Data Fusion method
CN111175738A (en) * 2020-01-08 2020-05-19 中国船舶重工集团公司第七二四研究所 Multi-model membership control-based rapid navigation method for phased array radar target

Also Published As

Publication number Publication date
CN108919268B (en) 2020-11-24

Similar Documents

Publication Publication Date Title
US20210248378A1 (en) Spatiotemporal action detection method
Zhou et al. GM-PHD-based multi-target visual tracking using entropy distribution and game theory
US9465997B2 (en) System and method for detection and tracking of moving objects
CN108694724A (en) A kind of long-time method for tracking target
CN105913074B (en) Based on amplitude and the united SAR image moving-target clustering method of radial velocity
CN110275153A (en) A kind of waterborne target detection and tracking based on laser radar
CN108919268A (en) A kind of Track initialization algorithm based on unmanned plane surveillance radar
CN102142085B (en) Robust tracking method for moving flame target in forest region monitoring video
CN104091348A (en) Multi-target tracking method integrating obvious characteristics and block division templates
CN110544269A (en) twin network infrared target tracking method based on characteristic pyramid
CN113628245B (en) Multi-target tracking method, device, electronic equipment and storage medium
CN108734091A (en) Compartment anomaly detection method, computer installation and computer readable storage medium
CN108509834B (en) Graph structure reduction method based on video features under multivariate logarithmic Gaussian distribution
CN108663686A (en) A kind of swimming pool drowning monitoring device and method based on laser radar
CN110297222A (en) A kind of track initiation method based on multidimensional measurement information
CN108805902A (en) A kind of space-time contextual target tracking of adaptive scale
CN105894540A (en) Method and system for counting vertical reciprocating movements based on mobile terminal
CN107480591B (en) Flying bird detection method and device
CN103985139B (en) Particle filter target tracking method based on color model and prediction vector cluster model information fusion
CN108919269A (en) The temporary track initiation determination method of multi-model based on unmanned plane surveillance radar
CN113791411A (en) Millimeter wave radar gesture recognition method and device based on trajectory judgment
Tsetsos et al. A forest fire detection system: The Meleager approach
CN111833377A (en) TBD-based small moving target detection method in complex environment
CN111160190B (en) Vehicle-mounted pedestrian detection-oriented classification auxiliary kernel correlation filtering tracking method
CN114545414A (en) Track management method for unmanned aerial vehicle anti-collision radar

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant