CN107861119A - Radar multi-beam resource allocation methods during multiple target tracking - Google Patents
Radar multi-beam resource allocation methods during multiple target tracking Download PDFInfo
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- CN107861119A CN107861119A CN201710837693.3A CN201710837693A CN107861119A CN 107861119 A CN107861119 A CN 107861119A CN 201710837693 A CN201710837693 A CN 201710837693A CN 107861119 A CN107861119 A CN 107861119A
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- radar
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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
- G01S13/66—Radar-tracking systems; Analogous systems
- G01S13/72—Radar-tracking systems; Analogous systems for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar
- G01S13/723—Radar-tracking systems; Analogous systems for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar by using numerical data
- G01S13/726—Multiple target tracking
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- 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
The invention discloses radar multi-beam resource allocation methods during a kind of multiple target tracking, comprise the following steps：1st, according to the position r of k moment targetsk, speed vkWith acceleration akPredict the position r of k+1 moment targetsk+1；2nd, target number in the coverage of each wave beam is judged in each front of k+1 moment radar antennas；3rd, the wave beam in each antenna arrays of radar is ranked up according to target number in k+1 moment coverages, selects the largest number of preceding M of coverage goaliThe Beam resources that individual wave beam distributes as i-th of antenna arrays of radar k+1 moment；Wherein MiFor the maximum numbers of beams that can be distributed in i-th of antenna arrays of radar simultaneously, 0<i≤Ni, NiFor the wave beam sum in i-th of antenna arrays of radar.It this method solve multi-beam resource allocation problem during multiple target tracking so that the distribution of multi-beam resource is more efficiently, rationally.
Description
Technical field
The invention belongs to radar resource management field, and in particular to a kind of distribution method of radar multi-beam resource.
Background technology
Multiple target tracking is in military and civilian field using extremely wide.The continuous maturation of phased array antenna technology so that
Multibeam technique continues to develop.Multibeam technique is applied in multiple target tracking, can further improve multiple target tracking effect
Rate.Because the power output of antenna is limited, to ensure enough transmission powers, each antenna synchronization dispenser partial wave
Beam.
How efficiently to solve multi-beam distribution during multiple target tracking, be particularly much larger than wave beam number in target number
Under conditions of, it is necessary to reasonably dispatch wave beam to realize the accurate tracking of multiple target.
The content of the invention
Goal of the invention：
Multi-beam resource allocation problem during the invention aims to solve multiple target tracking so that multi-beam resource
Distribution more efficiently, rationally.
Technical scheme：
The present invention adopts the following technical scheme that：
Radar multi-beam resource allocation methods, comprise the following steps during multiple target tracking：
(1) according to the position r of k moment targetsk, speed vkWith acceleration akPredict the position r of k+1 moment targetsk+1；
(2) target number in the coverage of each wave beam is judged in each front of k+1 moment radar antennas；
(3) wave beam in each antenna arrays of radar is ranked up according to target number in k+1 moment coverages, selected
Select the largest number of preceding M of coverage goaliThe Beam resources that individual wave beam distributes as i-th of antenna arrays of radar k+1 moment；Wherein
MiFor the maximum numbers of beams that can be distributed in i-th of antenna arrays of radar simultaneously, 0<i≤Ni, NiFor i-th of antenna arrays of radar
In wave beam sum.
The position r of k+1 moment targets in step (1)k+1Calculation formula is：
rk+1=rk+vk△t
Wherein time differences of the △ t between k moment and k+1 moment.
Preferably, Kalman prediction target is used in step 1 in the position at k+1 moment.
When have in i-th of antenna arrays of radar n wave beam in k+1 moment coverage goal numbers identical, n>1, and cover mesh
Mark wave beam of the number in i-th of antenna arrays of radar and be ordered as Mi, this n wave beam is calculated in the tight of k+1 moment coverage goals
Urgent property, the wave beam of the urgent maximum target of selection covering is distribution Beam resources.
The present invention calculates the urgency of target using covariance control method.
Beneficial effect：Compared with prior art, the beam allocation that the present invention can preferably solve target tracking domain is asked
Topic, can provide technical foundation for Similar Problems such as multi-beam communication, multi-beam echo soundings.
Brief description of the drawings
Fig. 1 is the flow chart of the present invention.
Embodiment
With reference to the accompanying drawings and detailed description, the present invention is furture elucidated.
For the present embodiment by taking certain radar as an example, the radar has 4 antenna array, by antenna footprint be divided into 0 °~90 °,
90 °~180 °, 180 °~270 °, 270 °~360 ° four sections.Each antenna can distribute 3 wave beams simultaneously.
As shown in figure 1, the specific embodiment of the invention is as follows：
(1) according to the position r of k moment targetsk, speed vkWith acceleration akPredict the position r of k+1 moment targetsk+1；
(2) target number in the coverage of each wave beam is judged in each front of k+1 moment radar antennas；
According to each target location of prediction, judge that each target belongs to the covering section of which antenna；
Judge the target number of each wave cover in each section；
(3) wave beam in each antenna arrays of radar is ranked up according to target number in k+1 moment coverages, selected
Select the Beam resources that the largest number of preceding 3 wave beams of coverage goal distribute as i-th of antenna arrays of radar k+1 moment.
Claims (5)
1. radar multi-beam resource allocation methods during multiple target tracking, it is characterised in that comprise the following steps：
(1) according to the position r of k moment targetsk, speed vkWith acceleration akPredict the position r of k+1 moment targetsk+1；
(2) target number in the coverage of each wave beam is judged in each front of k+1 moment radar antennas；
(3) wave beam in each antenna arrays of radar is ranked up according to target number in k+1 moment coverages, selection is covered
The largest number of preceding M of lid targetiThe Beam resources that individual wave beam distributes as i-th of antenna arrays of radar k+1 moment；Wherein MiFor
The maximum numbers of beams that can be distributed simultaneously in i-th of antenna arrays of radar, 0<i≤Ni, NiFor in i-th of antenna arrays of radar
Wave beam sum.
2. radar multi-beam resource allocation methods during multiple target tracking according to claim 1, it is characterised in that step
(1) the position r of k+1 moment targets ink+1Calculation formula is：
rk+1=rk+vk△t
Wherein time differences of the △ t between k moment and k+1 moment.
3. radar multi-beam resource allocation methods during multiple target tracking according to claim 1, it is characterised in that using card
Kalman Filtering predicts target in the position at k+1 moment.
4. radar multi-beam resource allocation methods during multiple target tracking according to claim 1, it is characterised in that when i-th
Have that n wave beam is identical in k+1 moment coverage goal numbers in individual antenna arrays of radar, n>1, and coverage goal number is at i-th
Wave beam in antenna arrays of radar is ordered as Mi, calculate urgency of this n wave beam in k+1 moment coverage goals, selection covering
The wave beam of urgent maximum target is distribution Beam resources.
5. radar multi-beam resource allocation methods during multiple target tracking according to claim 4, it is characterised in that using association
Variance control methods calculate the urgency of target.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710837693.3A CN107861119A (en) | 2017-09-15 | 2017-09-15 | Radar multi-beam resource allocation methods during multiple target tracking |
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| CN201710837693.3A CN107861119A (en) | 2017-09-15 | 2017-09-15 | Radar multi-beam resource allocation methods during multiple target tracking |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108900980A (en) * | 2018-09-21 | 2018-11-27 | 北京邮电大学 | A kind of resource allocation optimization method based on mobility prediction in heterogeneous network |
| CN110891317A (en) * | 2019-10-29 | 2020-03-17 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Method for allocating millimeter wave phased array antenna communication resources on demand |
| CN111948643A (en) * | 2020-08-13 | 2020-11-17 | 中国科学院空天信息创新研究院 | Target tracking method based on multi-beam nonlinear angle identification |
| CN114518577A (en) * | 2022-02-09 | 2022-05-20 | 北京卫星信息工程研究所 | Satellite-borne SAR and GNSS-S integrated system and cooperative detection method |
| CN114545394A (en) * | 2022-02-15 | 2022-05-27 | 北京卫星信息工程研究所 | Satellite-borne GNSS-S radar system and ship target detection and tracking method thereof |
Citations (1)
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| CN105954724A (en) * | 2016-04-29 | 2016-09-21 | 电子科技大学 | Distributed MIMO radar receiving wave beam resource distribution method based on multi-target tracking |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105954724A (en) * | 2016-04-29 | 2016-09-21 | 电子科技大学 | Distributed MIMO radar receiving wave beam resource distribution method based on multi-target tracking |
Non-Patent Citations (1)
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| 牛俊翔: "相控阵雷达多目标跟踪模式波束资源管理与优化研究", 《中国优秀硕士学位论文全文数据库》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108900980A (en) * | 2018-09-21 | 2018-11-27 | 北京邮电大学 | A kind of resource allocation optimization method based on mobility prediction in heterogeneous network |
| CN108900980B (en) * | 2018-09-21 | 2020-01-10 | 北京邮电大学 | Resource allocation optimization method based on mobility prediction in heterogeneous network |
| CN110891317A (en) * | 2019-10-29 | 2020-03-17 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Method for allocating millimeter wave phased array antenna communication resources on demand |
| CN110891317B (en) * | 2019-10-29 | 2023-05-23 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Method for distributing millimeter wave phased array antenna communication resources according to needs |
| CN111948643A (en) * | 2020-08-13 | 2020-11-17 | 中国科学院空天信息创新研究院 | Target tracking method based on multi-beam nonlinear angle identification |
| CN111948643B (en) * | 2020-08-13 | 2021-03-26 | 中国科学院空天信息创新研究院 | Target tracking method based on multi-beam nonlinear angle identification |
| CN114518577A (en) * | 2022-02-09 | 2022-05-20 | 北京卫星信息工程研究所 | Satellite-borne SAR and GNSS-S integrated system and cooperative detection method |
| CN114518577B (en) * | 2022-02-09 | 2023-02-07 | 北京卫星信息工程研究所 | Satellite-borne SAR and GNSS-S integrated system and cooperative detection method |
| CN114545394A (en) * | 2022-02-15 | 2022-05-27 | 北京卫星信息工程研究所 | Satellite-borne GNSS-S radar system and ship target detection and tracking method thereof |
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Application publication date: 20180330 |