CN105242260A - Interactive software signal and data fusion processing method - Google Patents
Interactive software signal and data fusion processing method Download PDFInfo
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- CN105242260A CN105242260A CN201510567515.4A CN201510567515A CN105242260A CN 105242260 A CN105242260 A CN 105242260A CN 201510567515 A CN201510567515 A CN 201510567515A CN 105242260 A CN105242260 A CN 105242260A
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- target
- radar
- speed
- channel number
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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
- G01S13/00—Systems 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
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/06—Systems determining position data of a target
Abstract
The invention discloses an interactive software signal and data fusion processing method, which comprises steps of calculating the maximal fuzzy speed, calculating a target radial speed, calculating a target channel number and judging correlation. On the basis of nearest neighbor correlation filtering algorithm, Doppler speed dimension characteristic information is added to participate in plot correlation, interactive comparison and judgment are carried out on target speed information in data processing and Doppler information provided by front signal processing, a correlated plot trace can be found out more accurately before a trace confirmation stage, accuracy of plot correlation is improved, and the problem of trace starting in a complicated environment is solved.
Description
Technical field
The present invention relates to field of radar, relate to a kind of radar data disposal route, particularly relate to a kind of interactive software signal and Data Fusion method.
Background technology
Rise in batch list at flight path, the association of some boat is very crucial.Select the result that relating dot causes irrelevantly, be obtain numerous rambling initial flight path on the one hand, make tracking initiation algorithm capacity saturated, this situation is particularly outstanding in clutter district; Be the track that at all can not get wanting on the other hand, cause in tracking gate, can not get correct echo.
Usual association algorithm adopts nearest-neighbor related quantities, namely in tracking gate using the relating dot mark of nearest some mark as this track points, but owing to predicting when next time is scanned that the position having a mark to occur may exist False Intersection Points mark, therefore wish to find a kind of method be more suitable for.
Summary of the invention
Playing batch problem to solve flight path under complex environment, the invention provides a kind of interactive software signal and Data Fusion method.The method adds doppler velocity dimensional feature information and participates in the association of some boat on the basis of nearest-neighbor related quantities algorithm, the doppler information that Data processing target speed information and front end signal process provide is compared differentiation alternately, thus before the track confirmation stage, finds relating dot mark more accurately.
Above-mentioned purpose is achieved by the following technical solution:
A kind of interactive software signal and Data Fusion method, comprise the steps:
Step one, calculates maximum fuzzy speed: calculate two maximum fuzzy speed VN and VM under irregular repetition frequency radar coherent pulse interval mode, computing formula is as follows,
Wherein, c is the light velocity 2.997210
8m/s, f
1, f
2be respectively two kinds of frequency of operation of radar, pri
1, pri
2be respectively the pulse recurrence interval of two kinds of frequency of operation;
Step 2, calculate target radial speed: the radial velocity VS being gone out target by adjacent turn 2 position calculation, computing formula is as follows,
VS＝dis·cos(thet)/T
Wherein, dis is same target adjacent turn 2 range differences, and T is the radar repetition period, and thet is shown below,
thet＝θ
HX-(θ
FW-180)
Wherein, θ
hXfor target course, θ
fWfor azimuth of target;
Step 3, calculates destination channel number: according to target radial speed VS and maximum fuzzy speed VN, VM, calculate channel number S1 and S2 at this target place, computing formula is as follows;
S
1＝VS％VN
S
2＝VS％VM
Step 4, relevance judge: by this impact point Bo Mennei have the channel number of a mark to compare with S1, S2, judge whether in correlation threshold.
Further, described in step 4, relevance determination methods is specially: by this impact point Bo Mennei have the channel number L of a mark
i1, L
i2compare with S1, S2 respectively, wherein i span be 1 to n, n be that Bo Mennei always counts; When | L
i1-S
1| < M and | L
i2-S
2| during < M, this mark and the success of this target association; When impact point is done towards radar or deviates from the radial motion of radar, M=1; When impact point does tangential motion along the circle taking radar as the center of circle, M is greater than 1 and is less than this radar filter port number.
Beneficial effect of the present invention:
(1) interactive software signal provided by the invention and Data Fusion method add the association of doppler velocity dimensional feature information participation point boat on the basis of nearest-neighbor related quantities algorithm, the doppler information that Data processing target speed information and front end signal process provide is compared differentiation alternately, relating dot mark can be found more accurately before the track confirmation stage.
(2) interactive software signal provided by the invention and Data Fusion method can improve the accuracy of some boat association, and under may be used for solving complex environment, flight path plays batch problem.
Accompanying drawing explanation
Fig. 1: target course and azimuth of target figure.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with embodiment and accompanying drawing, embodiment of the present invention is described in further detail.
Method provided by the invention adds doppler velocity dimensional feature information and participates in the association of some boat on the basis of nearest-neighbor related quantities algorithm, the doppler information that Data processing target speed information and front end signal process provide is compared differentiation alternately, comprises the steps:
Step one, calculates maximum fuzzy speed: calculate irregular repetition frequency radar difference recurrent interval pattern under two maximum fuzzy speed VN and VM, computing formula is as follows,
Wherein, c is the light velocity 2.997210
8m/s, f
1, f
2be respectively two kinds of frequency of operation of radar, pri
1, pri
2be respectively the pulse recurrence interval of two kinds of frequency of operation;
Step 2, calculate target radial speed: the radial velocity VS being gone out target by adjacent turn 2 position calculation, computing formula is as follows,
VS＝dis·cos(thet)/T
Wherein, dis is same target adjacent turn 2 range differences, and T is the radar repetition period, and thet is shown below,
thet＝θ
HX-(θ
FW-180)
Wherein, θ
hXfor target course, θ
fWfor azimuth of target;
Step 3, calculates destination channel number: according to target radial speed VS and maximum fuzzy speed VN, VM, calculate channel number S1 and S2 at this target place, computing formula is as follows;
S
1＝VS％VN
S
2＝VS％VM
Step 4, relevance judge: by this impact point Bo Mennei have the channel number of a mark to compare with S1, S2, judge whether in correlation threshold.By this impact point Bo Mennei have the channel number L of a mark
i1, L
i2compare with S1, S2 respectively, wherein i span be 1 to n, n be that Bo Mennei always counts; When | L
i1-S
1| < M and | L
i2-S
2| during < M, this mark and the success of this target association; When impact point is done towards radar or deviates from the radial motion of radar, M=1; When impact point does tangential motion along the circle taking radar as the center of circle, M is greater than 1 and is less than this radar filter port number, and namely M value is relevant with radar running parameter with target travel form.
The effect of above-described embodiment is essentiality content of the present invention is described, but does not limit protection scope of the present invention with this.Those of ordinary skill in the art should be appreciated that and can modify to technical scheme of the present invention or equivalent replacement, and does not depart from essence and the protection domain of technical solution of the present invention.
Claims (2)
1. interactive software signal and a Data Fusion method, is characterized in that, comprise the steps:
Step one, calculates maximum fuzzy speed: calculate two maximum fuzzy speed VN and VM under irregular repetition frequency radar coherent pulse interval mode, computing formula is as follows,
Wherein, c is the light velocity 2.997210
8m/s, f
1, f
2be respectively two kinds of frequency of operation of radar, pri
1, pri
2be respectively the pulse recurrence interval of two kinds of frequency of operation;
Step 2, calculate target radial speed: the radial velocity VS being gone out target by adjacent turn 2 position calculation, computing formula is as follows,
VS＝dis·cos(thet)/T
Wherein, dis is same target adjacent turn 2 range differences, and T is the radar repetition period, and thet is shown below,
thet＝θ
HX-(θ
FW-180)
Wherein, θ
hXfor target course, θ
fWfor azimuth of target;
Step 3, calculates destination channel number: according to target radial speed VS and maximum fuzzy speed VN, VM, calculate channel number S1 and S2 at this target place, computing formula is as follows;
S
1＝VS％VN
S
2＝VS％VM
Step 4, relevance judge: by this impact point Bo Mennei have the channel number of a mark to compare with S1, S2, judge whether in correlation threshold.
2. interactive software signal according to claim 1 and Data Fusion method, is characterized in that, described in step 4, relevance determination methods is specially: by this impact point Bo Mennei have the channel number L of a mark
i1, L
i2compare with S1, S2 respectively, wherein i span be 1 to n, n be that Bo Mennei always counts; When L
i1-S
1< M and L
i2-S
2< M time, this mark and this target association success; When impact point is done towards radar or deviates from the radial motion of radar, M=1; When impact point does tangential motion along the circle taking radar as the center of circle, M is greater than 1 and is less than this radar filter port number.
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| CN201510567515.4A CN105242260B (en) | 2015-09-08 | 2015-09-08 | A kind of interactive software signal and Data Fusion method |
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| CN105242260A true CN105242260A (en) | 2016-01-13 |
| CN105242260B CN105242260B (en) | 2017-07-07 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110286363A (en) * | 2019-06-27 | 2019-09-27 | 中国航空工业集团公司雷华电子技术研究所 | A kind of tangential flight track speed difference reconditioning correction method of target long-time |
| CN111751815A (en) * | 2020-06-10 | 2020-10-09 | 安徽瞭望科技有限公司 | False track elimination method based on distance differentiation |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005083867A (en) * | 2003-09-08 | 2005-03-31 | Mitsubishi Electric Corp | Target-pursuing system |
| JP2005337732A (en) * | 2004-05-24 | 2005-12-08 | Mitsubishi Electric Corp | Radar device |
| US20080111730A1 (en) * | 2006-11-09 | 2008-05-15 | Zhen Ding | Track quality based multi-target tracker |
| CN104020451A (en) * | 2014-06-03 | 2014-09-03 | 西安电子科技大学 | Outer transmitter-based radar target track processing method based on clustering |
| CN104076355A (en) * | 2014-07-04 | 2014-10-01 | 西安电子科技大学 | Method for conducting before-detection tracking on weak and small target in strong-clutter environment based on dynamic planning |
| CN104155650A (en) * | 2014-08-14 | 2014-11-19 | 电子科技大学 | Object tracking method based on trace point quality evaluation by entropy weight method |
-
2015
- 2015-09-08 CN CN201510567515.4A patent/CN105242260B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005083867A (en) * | 2003-09-08 | 2005-03-31 | Mitsubishi Electric Corp | Target-pursuing system |
| JP2005337732A (en) * | 2004-05-24 | 2005-12-08 | Mitsubishi Electric Corp | Radar device |
| US20080111730A1 (en) * | 2006-11-09 | 2008-05-15 | Zhen Ding | Track quality based multi-target tracker |
| CN104020451A (en) * | 2014-06-03 | 2014-09-03 | 西安电子科技大学 | Outer transmitter-based radar target track processing method based on clustering |
| CN104076355A (en) * | 2014-07-04 | 2014-10-01 | 西安电子科技大学 | Method for conducting before-detection tracking on weak and small target in strong-clutter environment based on dynamic planning |
| CN104155650A (en) * | 2014-08-14 | 2014-11-19 | 电子科技大学 | Object tracking method based on trace point quality evaluation by entropy weight method |
Non-Patent Citations (3)
| Title |
|---|
| X. WANG,ET AL: "Enhanced multi-target tracking with doppler measurements", 《INFORMATION,DECISION AND CONTROL》 * |
| 纪永刚等: "双频率高频地波雷达船只目标点迹关联与融合处理", 《系统工程与电子技术》 * |
| 韩正国等: "一种利用径向速度量测的航迹起始新算法", 《现代雷达》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110286363A (en) * | 2019-06-27 | 2019-09-27 | 中国航空工业集团公司雷华电子技术研究所 | A kind of tangential flight track speed difference reconditioning correction method of target long-time |
| CN110286363B (en) * | 2019-06-27 | 2022-05-17 | 中国航空工业集团公司雷华电子技术研究所 | Target long-time tangential flight track speed difference re-correction method |
| CN111751815A (en) * | 2020-06-10 | 2020-10-09 | 安徽瞭望科技有限公司 | False track elimination method based on distance differentiation |
| CN111751815B (en) * | 2020-06-10 | 2024-04-09 | 安徽瞭望科技有限公司 | False track eliminating method based on distance differentiation |
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| CN105242260B (en) | 2017-07-07 |
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Inventor after: Zhou Yixin Inventor after: Ding Zhiqing Inventor after: Li Xuming Inventor after: Yang Hui Inventor after: Jing Huali Inventor before: Zhou Yixin |
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Address after: 210038 No.9 Hengyi Road, Nanjing Economic and Technological Development Zone, Jiangsu Province Patentee after: NANJING CHANGJIANG ELECTRONICS GROUP Co.,Ltd. Address before: No. 9, Hengyi Road, Xingang economic and Technological Development Zone, Nanjing, Jiangsu 210038 Patentee before: NANJING CHANGJIANG ELECTRONICS GROUP Co.,Ltd. |