CN105242260B - A kind of interactive software signal and Data Fusion method - Google Patents

A kind of interactive software signal and Data Fusion method Download PDF

Info

Publication number
CN105242260B
CN105242260B CN201510567515.4A CN201510567515A CN105242260B CN 105242260 B CN105242260 B CN 105242260B CN 201510567515 A CN201510567515 A CN 201510567515A CN 105242260 B CN105242260 B CN 105242260B
Authority
CN
China
Prior art keywords
target
radar
speed
channel number
mark
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.)
Active
Application number
CN201510567515.4A
Other languages
Chinese (zh)
Other versions
CN105242260A (en
Inventor
周钇辛
丁智青
李旭明
杨辉
景华丽
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.)
NANJING CHANGJIANG ELECTRONICS GROUP CO Ltd
Original Assignee
NANJING CHANGJIANG ELECTRONICS GROUP 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 NANJING CHANGJIANG ELECTRONICS GROUP CO Ltd filed Critical NANJING CHANGJIANG ELECTRONICS GROUP CO Ltd
Priority to CN201510567515.4A priority Critical patent/CN105242260B/en
Publication of CN105242260A publication Critical patent/CN105242260A/en
Application granted granted Critical
Publication of CN105242260B publication Critical patent/CN105242260B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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

Landscapes

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

Abstract

Judge step the invention discloses a kind of interactive software signal and Data Fusion method, including the maximum fuzzy speed of calculating, calculating target radial speed, calculating destination channel number and relevance.The method adds doppler velocity dimensional feature information to participate in point boat association on the basis of nearest-neighbor related quantities algorithm, the Data processing target speed information doppler information provided with front end signal treatment is interacted and compares differentiation, relating dot mark can be more accurately found before the track confirmation stage, the accuracy of point boat association is improved, flight path plays batch problem under solving complex environment.

Description

A kind of interactive software signal and Data Fusion method
Technical field
The present invention relates to field of radar, it is related to a kind of radar data processing method, more particularly to a kind of interactive software Signal and Data Fusion method.
Background technology
In flight path plays batch list, point boat association is extremely crucial.Irrelevantly select the result caused by relating dot, a side Face is to obtain numerous rambling initial flight paths so that tracking initiation algorithm capacity saturation, such case in clutter area particularly It is prominent；On the other hand it is the track that cannot be wanted at all, causes to cannot get correct echo in tracking gate.
Algorithm is generally associated with using nearest-neighbor related quantities, i.e., in tracking gate using closest point mark as this The relating dot mark of track points, prediction has the position that a mark occurs to there may be False Intersection Points mark during yet with scanning next time, therefore Wish to find a kind of method being more suitable for.
The content of the invention
In order to flight path plays batch problem under solving complex environment, the invention provides a kind of interactive software signal and data Method for amalgamation processing.The method adds doppler velocity dimensional feature information to participate on the basis of nearest-neighbor related quantities algorithm Point boat association, the Data processing target speed information doppler information provided with front end signal treatment is interacted and is compared Differentiate, so as to more accurately find relating dot mark before the track confirmation stage.
Above-mentioned purpose is achieved by the following technical solution：
A kind of interactive software signal and Data Fusion method, comprise the following steps：
Step one, calculates maximum fuzzy speed：Calculate under irregular repetition rate radar coherent pulse interval mode two most Fuzzy greatly speed VN and VM, computing formula are as follows,
Wherein, c is the light velocity 2.9972108M/s, f1,f2Respectively two kinds of working frequencies of radar, pri1,pri2Respectively It is two kinds of pulse recurrence intervals of working frequency；
Step 2, calculates target radial speed：The radial velocity VS of target is calculated by 2 positions of adjacent turn, is calculated Formula is as follows,
VS=discos (thet)/T
Wherein, dis is 2 range differences of same target adjacent turn, and T is the radar repetition period, and thet is shown below,
Thet=θHX-(θFW-180)
Wherein, θHXIt is target course, θFWIt is azimuth of target；
Step 3, calculates destination channel number：According to target radial speed VS and maximum fuzzy speed VN, VM, this is calculated Channel number S1 and S2 where target, computing formula are as follows；
S1=VS%VN
S2=VS%VM
Step 4, relevance judges：The channel number that impact point Bo Mennei has a mark is compared with S1, S2, judgement is It is no in correlation threshold.
Further, relevance determination methods are specially described in step 4：Impact point Bo Mennei there is into the logical of a mark Taoist monastic name Li1、Li2Compare with S1, S2 respectively, wherein i spans are 1 to n, n always counts for Bo Mennei；When | Li1-S1| ＜ M are simultaneously And | Li2-S2| during ＜ M, the mark is successful with the target association；Impact point is made during towards radar or the radial motion away from radar, M=1；When impact point makees tangential motion along the circle with radar as the center of circle, M is more than 1 and less than the radar filter port number.
Beneficial effects of the present invention：
(1) the interactive software signal and Data Fusion method that the present invention is provided are calculated in nearest-neighbor related quantities Doppler velocity dimensional feature information is added to participate in point boat association on the basis of method, by Data processing target speed information and front end The doppler information that signal transacting is provided is interacted and compares differentiation, and pass can be more accurately found before the track confirmation stage Connection point mark.
(2) the interactive software signal and Data Fusion method that the present invention is provided can improve the accurate of a boat association Property, flight path plays batch problem under can be used for solving complex environment.
Brief description of the drawings
Fig. 1：Target course and azimuth of target figure.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with embodiment and accompanying drawing to this hair Bright embodiment is described in further detail.
The method that the present invention is provided adds doppler velocity dimensional feature to believe on the basis of nearest-neighbor related quantities algorithm Breath participates in point boat association, and the Data processing target speed information doppler information provided with front end signal treatment is handed over Mutually compare differentiation, comprise the following steps：
Step one, calculates maximum fuzzy speed：Calculate under irregular repetition rate radar difference pulse spacing pattern two most Fuzzy greatly speed VN and VM, computing formula are as follows,
Wherein, c is the light velocity 2.9972108M/s, f1,f2Respectively two kinds of working frequencies of radar, pri1,pri2Respectively It is two kinds of pulse recurrence intervals of working frequency；
Step 2, calculates target radial speed：The radial velocity VS of target is calculated by 2 positions of adjacent turn, is calculated Formula is as follows,
VS=discos (thet)/T
Wherein, dis is 2 range differences of same target adjacent turn, and T is the radar repetition period, and thet is shown below,
Thet=θHX-(θFW-180)
Wherein, θHXIt is target course, θFWIt is azimuth of target；
Step 3, calculates destination channel number：According to target radial speed VS and maximum fuzzy speed VN, VM, this is calculated Channel number S1 and S2 where target, computing formula are as follows；
S1=VS%VN
S2=VS%VM
Step 4, relevance judges：The channel number that impact point Bo Mennei has a mark is compared with S1, S2, judgement is It is no in correlation threshold.Impact point Bo Mennei is had the channel number L of a marki1、Li2Compare with S1, S2 respectively, wherein i Span is 1 to n, and n always counts for Bo Mennei；When | Li1-S1| ＜ M and | Li2-S2| during ＜ M, the mark is closed with the target It is unified into work(；Impact point is made during towards radar or the radial motion away from radar, M=1；Impact point is along the circle with radar as the center of circle When making tangential motion, M is more than 1 and less than the radar filter port number, i.e. M values and target motion morphology and radar work ginseng Number is relevant.
The effect of above-described embodiment indicates that essentiality content of the invention, but with this does not limit protection of the invention Scope.It will be understood by those within the art that, technical scheme can be modified or equivalent, Without deviating from the essence and protection domain of technical solution of the present invention.

Claims (2)

1. a kind of interactive software signal and Data Fusion method, it is characterised in that comprise the following steps：
Step one, calculates maximum fuzzy speed：Calculate two maximum norms under irregular repetition rate radar coherent pulse interval mode Paste speed VN and VM, computing formula are as follows,
V N = c 2 · f 1 · pri 1
V M = c 2 · f 2 · pri 2
Wherein, c is the light velocity 2.9972108M/s, f1,f2Respectively two kinds of working frequencies of radar, pri1,pri2Respectively two Plant the pulse recurrence interval of working frequency；
Step 2, calculates target radial speed：The radial velocity VS of target, computing formula are calculated by 2 positions of adjacent turn It is as follows,
VS=discos (thet)/T
Wherein, dis is 2 range differences of same target adjacent turn, and T is the radar repetition period, and thet is shown below,
Thet=θHX-(θFW-180°)
Wherein, θHXIt is target course, θFWIt is azimuth of target；
Step 3, calculates destination channel number：According to target radial speed VS and maximum fuzzy speed VN, VM, the target is calculated The channel number S at place1And S2, wherein, S1It is VS divided by VN remainders, S2It is VS divided by VM remainders；
Step 4, relevance judges：Impact point Bo Mennei is had the channel number and S of a mark1、S2Compare, judge whether In correlation threshold.
2. interactive software signal according to claim 1 and Data Fusion method, it is characterised in that step 4 The relevance determination methods are specially：Impact point Bo Mennei is had the channel number L of a marki1、Li2Respectively with S1、S2Than Compared with wherein i spans are 1 to n, and n always counts for Bo Mennei；When | Li1-S1| ＜ M and | Li2-S2| during ＜ M, the mark with Target association success；Impact point is made during towards radar or the radial motion away from radar, M=1；Impact point is along with radar When the circle in the center of circle makees tangential motion, M is more than 1 and less than the radar filter port number.
CN201510567515.4A 2015-09-08 2015-09-08 A kind of interactive software signal and Data Fusion method Active CN105242260B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510567515.4A CN105242260B (en) 2015-09-08 2015-09-08 A kind of interactive software signal and Data Fusion method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510567515.4A CN105242260B (en) 2015-09-08 2015-09-08 A kind of interactive software signal and Data Fusion method

Publications (2)

Publication Number Publication Date
CN105242260A CN105242260A (en) 2016-01-13
CN105242260B true CN105242260B (en) 2017-07-07

Family

ID=55039966

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510567515.4A Active CN105242260B (en) 2015-09-08 2015-09-08 A kind of interactive software signal and Data Fusion method

Country Status (1)

Country Link
CN (1) CN105242260B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
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

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4166651B2 (en) * 2003-09-08 2008-10-15 三菱電機株式会社 Target tracking device
JP2005337732A (en) * 2004-05-24 2005-12-08 Mitsubishi Electric Corp Radar device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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)

* Cited by examiner, † Cited by third party
Title
Enhanced multi-target tracking with doppler measurements;X. Wang,et al;《Information,Decision and Control》;20071231;第53-58页 *
一种利用径向速度量测的航迹起始新算法;韩正国等;《现代雷达》;20091031;第31卷(第10期);第47-50页 *
双频率高频地波雷达船只目标点迹关联与融合处理;纪永刚等;《***工程与电子技术》;20140228;第36卷(第2期);第266-271页 *

Also Published As

Publication number Publication date
CN105242260A (en) 2016-01-13

Similar Documents

Publication Publication Date Title
CN104215951B (en) System and method for detecting low-speed small target under sea cluster background
CN105093215B (en) Tracking based on the radar of doppler information to low-altitude low-velocity small targets
CN103954939A (en) Smart-noise-jamming resistant method based on radar networking
CN105242260B (en) A kind of interactive software signal and Data Fusion method
CN106405537A (en) Radar track initiation method based on location information and Doppler information
CN103592620B (en) Gao Zhongying signal solution location ambiguity method in Long baselines positioning using TDOA system
CN109100696B (en) Slow-speed moving target elimination method based on dot clutter map
CN105022059A (en) Coherent-processing multi-target tracking method of security monitoring radar system
CN107703503B (en) Point trace condensation method based on GPU acceleration
CN107436434B (en) Track starting method based on bidirectional Doppler estimation
CN102621542A (en) Track method before locomotive weak target detection based on multimode grain filtering and data association
CN103792522B (en) Multi-radar marine target robust association algorithm based on credible association pair
CN105445731B (en) A kind of radar full-automatic tracking method based on high precision speed-measuring
CN108414995A (en) Gauss-Newton filtering based target tracking method under nonlinear model
CN106443662B (en) A kind of target steady correlating method under low repetition system when velocity ambiguity
CN105116387A (en) PD radar velocity pull-off resisting method based on position and Doppler velocity information
CN101290350B (en) Ground cluster object tracking method
CN109633624B (en) RGPO interference identification method based on filtering data processing
CN105549004B (en) Solve the fuzzy IMPM PPHDF methods of range measurement
CN104569963A (en) Moving target one-dimensional detecting and tracking method for ultra-wideband through-wall radar
CN114114242A (en) Radar target tracking method based on point-selected flight path and flight path extrapolation
CN102880909A (en) High frequency ground wave radar remote track initiation method and device
CN105388472B (en) One kind is to the method for tracking target that is overlapping in extra large radar system
CN104020468B (en) The computational methods of a kind of close-in target update cycle based on secondary radar
CN105929379B (en) A kind of method of lifting VTS radar resolutions

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
CB03 Change of inventor or designer information

Inventor after: Zhou Yixin

Inventor after: Ding Zhiqing

Inventor after: Li Xuming

Inventor after: Yang Hui

Inventor after: Jing Huali

Inventor before: Zhou Yixin

COR Change of bibliographic data
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP02 Change in the address of a patent holder
CP02 Change in the address of a patent holder

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.