CN110501684A - Radar data processing unit and radar data processing method - Google Patents
Radar data processing unit and radar data processing method Download PDFInfo
- Publication number
- CN110501684A CN110501684A CN201910782080.3A CN201910782080A CN110501684A CN 110501684 A CN110501684 A CN 110501684A CN 201910782080 A CN201910782080 A CN 201910782080A CN 110501684 A CN110501684 A CN 110501684A
- Authority
- CN
- China
- Prior art keywords
- target
- data
- data processing
- module
- packet
- 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
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
- G01S13/50—Systems of measurement based on relative movement of target
- G01S13/58—Velocity or trajectory determination systems; Sense-of-movement determination systems
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/28—Details of pulse systems
- G01S7/285—Receivers
- G01S7/292—Extracting wanted echo-signals
- G01S7/2923—Extracting wanted echo-signals based on data belonging to a number of consecutive radar periods
- G01S7/2927—Extracting wanted echo-signals based on data belonging to a number of consecutive radar periods by deriving and controlling a threshold value
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/35—Details of non-pulse systems
- G01S7/352—Receivers
- G01S7/354—Extracting wanted echo-signals
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/415—Identification of targets based on measurements of movement associated with the 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
Present disclose provides a kind of radar data processing units, comprising: echo signal processing module, for echo signal processing module by echo signal processing at least one target packet, target packet includes at least target designation and location information；And data processing module, receive at least one target packet from echo signal processing module, it will be put into the same processing queue of data processing module with the target packet that same target is numbered, the different processing queues of data processing module will be put into the target packet that different target is numbered；Data processing module extracts the location information in each processing queue in each target packet, and the location information based on each target packet generates the mobile trajectory data of each target.The disclosure additionally provides a kind of radar data processing method.
Description
Technical field
This disclosure relates to a kind of radar data processing unit and radar data processing method.
Background technique
With the development of science and technology people are more and more diversified in the development of aviation field.But " bird hits " event of aircraft and
More and more " unmanned plane invasion " event is also to perplex a great problem of people.
Bird hits or bird is hit, hits bird, and aeronautical chart is commonly called as inhaling bird.Refer to the fire of birds with aircraft, high-speed cruising in-flight
Vehicle, automobile etc. collide, and cause unexpected event.The accident proneness caused by due to China is hit bird has accounted for accident proneness
The 1/3 of sum, economic loss caused by being hit in the U.S. as bird is up to annual 600000000 dollars.
" unmanned plane invasion " event is also known as " unmanned plane interference " event, refers to that not declaring flight plan carries out unmanned plane
The behavior of flight is referred to as " black to fly ", is the behavior for violating control.On June 11st, 2016, Dubai International airport airspace are entered
It invades, is forced to close 69 minutes, 22 airplanes are made preparation for dropping.In March, 2017 between May Chengdu Shuangliu International Airport occur it is a series of nobody
The security incident of machine invasion causes more than 100 flights to make preparation for dropping.And related airspace intrusion event is still in lasting generation.
Observation acquires the flying quality of a large amount of birds, statisticallys analyze the flight behavioural habits of birds, monitors birds and nobody
The intrusion behavior of machine hits prevention bird and aviation security field has important meaning.
Summary of the invention
At least one of in order to solve the above-mentioned technical problem, present disclose provides a kind of radar data processing unit and thunders
Up to big data processing method.
According to one aspect of the disclosure, a kind of radar data processing unit, comprising:
Echo signal processing module, echo signal processing module by echo signal processing at least one target packet,
Target packet includes at least target designation and location information；And
Data processing module receives at least one target packet from echo signal processing module, will have identical
The target packet of target designation is put into the same processing queue of data processing module, the target that will be numbered with different target
Data packet is put into the different processing queues of data processing module；
Data processing module extracts the location information in each processing queue in each target packet, is based on each mesh
The location information of mark data packet generates the mobile trajectory data of each target.
According at least one embodiment of the disclosure, radar data processing unit further includes database module, each mesh
Target mobile trajectory data is stored to database module, and data processing module is to each target stored in database module
Mobile trajectory data carries out real-time update.
According at least one embodiment of the disclosure, radar data processing unit further includes data analysis module, data
Analysis module includes that circumscribed polygon generates submodule and small polygon division submodule；Circumscribed polygon generates submodule and is based on
Radar scanning range generates the circumscribed polygon of radar scanning range, and small polygon divides submodule and is divided into circumscribed polygon
Several small polygons；Data analysis module saves the corresponding geographical location data boundary of each small polygon to database mould
Block.
According at least one embodiment of the disclosure, radar data processing unit further includes data display module, data
Mobile trajectory data of the display module based on each small polygon corresponding geographical location data boundary and each target, statistics are each
Target in each small polygon is shown by the target for including in a small polygon in the form of statistical chart.
According at least one embodiment of the disclosure, after counting the target for including in each small polygon, to each
Target in small polygon carries out the average treatment of same ratio, by the target in treated each small polygon with hot spot shape
Formula is shown.
According at least one embodiment of the disclosure, target packet further include target range radar horizontal distance,
The elevation angle and target sizes information.
According at least one embodiment of the disclosure, the shape of circumscribed polygon is identical as the shape of small polygon.
According at least one embodiment of the disclosure, circumscribed polygon is rectangle or regular hexagon.
According at least one embodiment of the disclosure, target sizes pass through the radar cross section product representation of target.
According at least one embodiment of the disclosure, location information is the latitude and longitude coordinates of target.
According at least one embodiment of the disclosure, the geographical location data boundary of multiple small polygons is with polygon pair
The mode of elephant is saved to database module.
According at least one embodiment of the disclosure, circumscribed polygon is generated during submodule with radar site coordinate is
The heart determines the highest distance position coordinate that radar can be scanned in direction northwest and southeastern direction, or determines radar in west
South is based on highest distance position coordinate to the highest distance position coordinate that can be scanned with northeastward, generates radar scanning range
Circumscribed polygon.
According at least one embodiment of the disclosure, the location information based on each target packet generates each target
Mobile trajectory data, comprising: according to the sequential relationship for the time that each target packet is received, by the position of each target
Information arrangement composition is sequentially connected mobile trajectory data of a plurality of line segment as each target.
According to another aspect of the present disclosure, a kind of radar data processing method, comprising:
By echo signal processing at least one target packet, target packet includes at least target designation and position is believed
Breath；
It will be put into the same processing queue with the target packet that same target is numbered, by what is numbered with different target
Target packet is put into different processing queues；And
Extract the location information in each processing queue in each target packet, the position based on each target packet
Confidence breath generates the mobile trajectory data of each target.
According at least one embodiment of the disclosure, radar data processing method further include: the movement to each target
Track data carries out real-time update.
Detailed description of the invention
Attached drawing shows the illustrative embodiments of the disclosure, and it is bright together for explaining the principles of this disclosure,
Which includes these attached drawings to provide further understanding of the disclosure, and attached drawing is included in the description and constitutes this
Part of specification.
Fig. 1 is the structural schematic diagram according to the radar data processing unit of one embodiment of the disclosure.
Fig. 2 is the structural schematic diagram according to the radar data processing unit of disclosure another embodiment.
Fig. 3 is the structural schematic diagram according to the radar data processing unit of disclosure another embodiment.
Fig. 4 is the structural schematic diagram according to the radar data processing unit of disclosure another embodiment.
Fig. 5 is the flow diagram according to the radar data processing method of one embodiment of the disclosure.
Fig. 6 is the flow diagram according to the radar data processing method of disclosure another embodiment.
Fig. 7 is the flow diagram according to the radar data processing method of disclosure another embodiment.
Specific embodiment
The disclosure is described in further detail with embodiment with reference to the accompanying drawing.It is understood that this place
The specific embodiment of description is only used for explaining related content, rather than the restriction to the disclosure.It also should be noted that being
Convenient for description, part relevant to the disclosure is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the disclosure can
To be combined with each other.The technical solution of the disclosure is described in detail below with reference to the accompanying drawings and in conjunction with embodiment.
Unless otherwise stated, illustrative embodiments/the embodiment shown, which will be understood as providing, to be practiced
The example feature of the various details of some modes of the middle technical concept for implementing the disclosure.Therefore, unless otherwise stated,
In the case where not departing from the technical concept of the disclosure, the feature of various embodiment/embodiments can additionally organize splitting or integrating
From, exchange and/or rearrange.
It is commonly used in being apparent from the boundary between adjacent component using intersecting hachure and/or shade in the accompanying drawings.Such as
This, unless explanation, otherwise specific material, the material to component are not conveyed or are indicated in the presence or absence of intersecting hachure or shade
Matter, size, ratio, any other characteristic of the general character between the component that shows and/or component, attribute, property etc. it is any partially
Good or requirement.In addition, in the accompanying drawings, for clear and/or descriptive purpose, the size of component can be exaggerated and with respect to ruler
It is very little.It, can be suitable to execute specific technique to be different from described sequence when differently exemplary embodiment can be implemented
Sequence.For example, can be performed simultaneously substantially or execute two techniques continuously described with the sequence opposite with described sequence.
In addition, same appended drawing reference indicates same component.
When a component be referred to as " " another component "upper" or " on ", " being connected to " or " being integrated to " another component
When, the component can directly on another component, be directly connected to or be bonded directly to another component, or can be with
There are intermediate members.However, when component is referred to as " directly existing " another component "upper", " being directly connected to " or " being bonded directly to "
When another component, intermediate member is not present.For this purpose, term " connection " can refer to physical connection, electrical connection etc., and have or
Without intermediate member.
For descriptive purpose, the disclosure can be used such as " ... under ", " in ... lower section ", " ... under ",
"lower", " in ... top ", "upper", " ... on " space of " higher " and " side (for example, such as in " side wall ") "
Relative terms, thus to describe the relationship of a component and another (other) components as shown in figures.In addition to being retouched in attached drawing
Except the orientation drawn, spatially relative term alsos attempt to the different direction comprising equipment in use, operation and/or manufacture.For example,
If the equipment in attached drawing is reversed, the component for being described as " " other components or feature " below " or " under " will be subsequent
It is positioned as " " described other components or feature " top ".Therefore, exemplary term " in ... lower section " may include " on
Side " and " lower section " two kinds of orientation.In addition, in addition equipment can be positioned (for example, being rotated by 90 ° or at other orientation), such as
This, is interpreted accordingly space used herein and describes language relatively.
Term used herein is the purpose in order to describe specific embodiment, and is not intended to be restrictive.Such as institute here
It uses, unless the context clearly indicates otherwise, otherwise singular " one (kind, person) " and " (being somebody's turn to do) " are also intended to packet
Include plural form.In addition, when using term "comprising" and/or " comprising " and their modification in the present specification, explanation
In the presence of feature, entirety, step, operation, component, component and/or their group stated, but one is not precluded the presence or addition of
Or more other feature, entirety, step, operation, component, component and/or their group.It is also noted that as made here
, term " substantially ", " about " be used as approximate term with other similar terms and be not used as degree term, in this way,
They be used to explain it will be appreciated by those of ordinary skill in the art that measured value, calculated value and/or the value of offer it is intrinsic partially
Difference.
Fig. 1 is according to the structural schematic diagram of the radar data processing unit 100 of one embodiment of the disclosure, radar data
Processing unit 100 includes echo signal processing module 101, and echo signal processing module 101 is by echo signal processing at least one
A target packet, target packet include at least target designation and location information；And data processing module 102, it receives and
From at least one target packet of echo signal processing module 101, will be put into the target packet that same target is numbered
The same processing queue of data processing module 102 will be put into data processing mould with the target packet that different target is numbered
The different processing queues of block 102；Data processing module 102 extracts the position in each processing queue in each target packet
Confidence breath, the location information based on each target packet generate the mobile trajectory data of each target.Echo signal processing mould
Block 101 is preferably realized by computer program module.Data processing module 102 preferably passes through computer program module reality
It is existing.
It will be appreciated by those skilled in the art that " echo-signal " refers to radar echo signal, i.e. " the echo letter of the disclosure
Number " from radar system, generally, radar system includes transmitter, receiver, signal processor and display device, thunder
Transmitter transmitting high frequency electromagnetic wave signal up to system is detected；After detecting target (such as aircraft, birds etc.), return
Electromagnetic wave signal (electromagnetic wave signal is by the processed signal of signal processor), i.e. echo-signal.
Preferably, target packet further includes horizontal distance, target elevation and the target sizes letter of target range radar
Breath.Target sizes can belong to state of the art, details are not described herein by the radar cross section product representation of target.
Preferably include following processing to the processing of echo-signal: detection threshold self-adaptive processing cuts down clutter, more filtering
Device synchronization process, dynamic object extraction and multiple target tracking and aggregation of data export five steps.Detection threshold is adaptively located
Reason: analysis and extraction to the echo-signal for carrying out movable target under obtained echo signal and background environment adjust and are suitble to
Target detection thresholding, by collected analog signal carry out digitized processing, then using threshold carry out binaryzation obtain
To radar echo signal.It cuts down clutter: elimination noise processed being carried out to echo-signal using the median filter of adaptive threshold,
It is effectively retained target information simultaneously.Multi-filter synchronization process: noise echo-signal is eliminated to by whole, is entered according to radar
360 ° of azimuth information, synchronize filtering processing one by one, each frame is calculated using various filters simultaneously,
It successively handles in order.Dynamic object extracts: the echo information still remained after multiple filter extracted, it is whole
It closes.Multiple target tracking and Data Synthesis output: target designation and calculating speed orientation are carried out to the target information extracted
Etc. relevant informations calculating, then according to processing the time sequencing will each target details synthesis arrange after export
To data processing module 102.The above-mentioned processing to echo-signal is preferably processing mode, however the disclosure is not believed echo
Number processing be particularly limited to, those skilled in the art are under the enlightenment of disclosed technique scheme, as long as can be by echo-signal
It is processed at least one target packet, target packet includes at least target designation and location information.
Data processing module 102 receives at least one target packet from echo signal processing module 101, will have
The target packet of same target number is put into the same processing queue of data processing module 102, will have different target volume
Number target packet be put into the different processing queues of data processing module 102；Data processing module 102 extracts each place
The location information in queue in each target packet is managed, the location information based on each target packet generates each target
Mobile trajectory data.The disclosure is not particularly limited to the number of the processing queue of data processing module 102.Preferably, position
Information is the latitude and longitude information of target, as an example, when the target packet for receiving same number in each processing queue is greater than
When equal to two, the latitude and longitude information in each target packet is taken, and all latitude and longitude informations of acquirement are pressed into receiving time
Sequencing is arranged to make up motion track of a plurality of line segment of interconnection as the target, and the motion track after combination is protected
It deposits.
Data processing module 102 is received after data i.e. target packet is handled according to processing result every time to transmission
Side's (echo signal processing module 101) returns to one " handling successfully " or " processing failure " message.Echo signal processing module 101
" handling successfully " message is received, then echo signal processing module 101 continues subsequent signal processing；Echo signal processing module
101 receive " processing failure " message, then while carrying out follow-up signal processing, also by the data re-transmitting of processing failure to number
According to processing module 102.Processing failure is more than pre-determined number (such as three times), which is included in day by data processing module 102
Will, data processing module 102 terminate the processing to the data.
Fig. 2 is according to the structural schematic diagram of the radar data processing unit 200 of disclosure another embodiment, radar number
It include echo signal processing module 201 according to processing unit 200, echo signal processing module 201 is by echo signal processing at least
One target packet, target packet include at least target designation and location information；And data processing module 202, it receives
At least one target packet from echo signal processing module 201 will be put with the target packet that same target is numbered
The same processing queue for entering data processing module 202 will be put into data processing with the target packet that different target is numbered
The different processing queues of module 202；Data processing module 202 extracts in each processing queue in each target packet
Location information, the location information based on each target packet generate the mobile trajectory data of each target；Radar data processing
Device 200 further includes database module 203, and the mobile trajectory data of each target is stored to database module 203, at data
It manages module 202 and real-time update is carried out to the mobile trajectory data of each target stored in database module 203.As an example,
When the target packet for receiving same number in each processing queue is more than or equal to two, the warp in each target packet is taken
Latitude information (i.e. location information), and all latitude and longitude informations of acquirement are arranged to make up by receiving time sequencing and are mutually connected
Motion track of a plurality of line segment connect as the target, and the motion track after combination is saved to database module 203, when
When the target of formation mobile trajectory data receives the new data packet of the target again, the processing of 202 real-time update of data processing module
The motion track that queue and database module 203 save.
Fig. 3 is according to the structural schematic diagram of the radar data processing unit 300 of disclosure another embodiment, radar number
It include echo signal processing module 301 according to processing unit 300, echo signal processing module 301 is by echo signal processing at least
One target packet, target packet include at least target designation and location information；And data processing module 302, it receives
At least one target packet from echo signal processing module 301 will be put with the target packet that same target is numbered
The same processing queue for entering data processing module 302 will be put into data processing with the target packet that different target is numbered
The different processing queues of module 302；Data processing module 302 extracts in each processing queue in each target packet
Location information, the location information based on each target packet generate the mobile trajectory data of each target；Radar data processing
Device 300 further includes database module 303, and the mobile trajectory data of each target is stored to database module 303, at data
It manages module 302 and real-time update is carried out to the mobile trajectory data of each target stored in database module 303.At radar data
Reason device 300 further includes data analysis module 304, and data analysis module 304 includes that circumscribed polygon generates 3041 He of submodule
Small polygon divides submodule 3042；Circumscribed polygon generates submodule 3041 and is based on radar scanning range generation radar scanning model
The circumscribed polygon enclosed, small polygon divide submodule 3042 and circumscribed polygon are divided into several small polygons；Data analysis
Module 304 saves the corresponding geographical location data boundary of each small polygon to database module 303.
Data analysis module 304 preferably realizes that circumscribed polygon generates submodule 3041 by computer program module
It is preferably realized by computer program module, small polygon divides submodule 3042 preferably by computer program module reality
It is existing.
Preferably, circumscribed polygon generates submodule 3041 centered on radar site coordinate, determines radar in northwest
The highest distance position coordinate that direction and southeastern direction can scan, or determine radar in southwestward and northeastward institute energy
The highest distance position coordinate scanned is based on highest distance position coordinate, generates the circumscribed polygon of radar scanning range, circumscribed polygon
Preferably rectangle or regular hexagon.
Small polygon divides submodule 3042 and circumscribed polygon is divided into several small polygons, may be greater than 1 it is whole
Several parts.The shape of circumscribed polygon is identical as the shape of small polygon preferably, be divided into 300000~800000 it is small polygon
Shape, the range can also obtain thinner statistics granularity while taking into account processing speed.
The geographical location data boundary of multiple small polygons is saved in a manner of polygon object to database module 303.
Fig. 4 is according to the structural schematic diagram of the radar data processing unit 400 of disclosure another embodiment, radar number
It include echo signal processing module 401 according to processing unit 400, echo signal processing module 401 is by echo signal processing at least
One target packet, target packet include at least target designation and location information；And data processing module 402, it receives
At least one target packet from echo signal processing module 401 will be put with the target packet that same target is numbered
The same processing queue for entering data processing module 402 will be put into data processing with the target packet that different target is numbered
The different processing queues of module 402；Data processing module 402 extracts in each processing queue in each target packet
Location information, the location information based on each target packet generate the mobile trajectory data of each target；Radar data processing
Device 400 further includes database module 403, and the mobile trajectory data of each target is stored to database module 403, at data
It manages module 402 and real-time update is carried out to the mobile trajectory data of each target stored in database module 403.At radar data
Reason device 400 further includes data analysis module 404, and data analysis module 404 includes that circumscribed polygon generates 4041 He of submodule
Small polygon divides submodule 4042；Circumscribed polygon generates submodule 4041 and is based on radar scanning range generation radar scanning model
The circumscribed polygon enclosed, small polygon divide submodule 4042 and circumscribed polygon are divided into several small polygons；Data analysis
Module 404 saves the corresponding geographical location data boundary of each small polygon to database module 403.Radar data processing dress
Setting 400 further includes data display module 405.
Movement of the data display module 405 based on each small polygon corresponding geographical location data boundary and each target
Track data counts the target for including in each small polygon, the target in each small polygon is carried out in the form of statistical chart
It shows.Data display module 405 preferably realizes that data display module 405 can be only fitted to meter by computer program module
In calculation machine, mobile phone etc..
Preferably, after the target that data display module 405 includes in counting each small polygon, to each small polygon
Target in shape carries out the average treatment (such as average dilution processing) of same ratio, by each small polygon after average treatment
In target be shown in the form of statistical chart." average " can realize that the disclosure is not to average algorithm by average algorithm
Type be particularly limited to, the average of same ratio is carried out to the target in each small polygon as long as can be realized.
All small polygons when data display module 405 carries out data displaying, after statistics current radar range is halved
In each polygon target information for being included.After for statistical analysis, then all results are polymerize.Point each in this way
Analysis statistical result is all based on the polymerization of the result after small range analysis statistics.So that speed is more smooth when data exhibiting.It will not
As accumulative increase of target data amount causes program stuck.The activity point of the target in each region can be embodied well simultaneously
Cloth situation.
Fig. 5 is the flow diagram according to the radar data processing method of one embodiment of the disclosure.At radar data
Reason method the following steps are included:
For S11 by echo signal processing at least one target packet, target packet includes at least target designation and position
Confidence breath；
S12 will be put into the same processing queue with the target packet that same target is numbered, and will have different target volume
Number target packet be put into different processing queues；And
S13 extracts the location information in each processing queue in each target packet, is based on each target packet
Location information generate the mobile trajectory data of each target.
Fig. 6 is the flow diagram according to the radar data processing method of disclosure another embodiment.Radar data
Processing method the following steps are included:
For S21 by echo signal processing at least one target packet, target packet includes at least target designation and position
Confidence breath；
S22 will be put into the same processing queue with the target packet that same target is numbered, and will have different target volume
Number target packet be put into different processing queues；
S23 extracts the location information in each processing queue in each target packet, is based on each target packet
Location information generate the mobile trajectory data of each target；And
S24 carries out real-time update to the mobile trajectory data of each target.
Fig. 7 is the flow diagram according to the radar data processing method of disclosure another embodiment.Radar data
Processing method the following steps are included:
For S31 by echo signal processing at least one target packet, target packet includes at least target designation and position
Confidence breath；
S32 will be put into the same processing queue with the target packet that same target is numbered, and will have different target volume
Number target packet be put into different processing queues；
S33 extracts the location information in each processing queue in each target packet, is based on each target packet
Location information generate the mobile trajectory data of each target；
S34 carries out real-time update to the mobile trajectory data of each target；
S41 generates the circumscribed polygon of radar scanning range based on radar scanning range, if circumscribed polygon is divided into
Small polygon is done, the corresponding geographical location data boundary of each small polygon is saved；
Mobile trajectory data of the S51 based on each small polygon corresponding geographical location data boundary and each target, system
The target for including in each small polygon is counted, the target in each small polygon is shown in the form of statistical chart.
The radar data processing method of the disclosure realizes the data statistic analysis based on radar.
It should be noted that the disclosure is not done especially the execution sequence of " step S41 " and " step S31- step S34 "
It limits, " step S41 " can be executed prior to " step S31- step S34 ", be also possible to " step S31- step S34 " prior to " step
Rapid S41 " is executed.
Preferably, the radar data processing method in above-mentioned each embodiment is realized by executing computer program.
The technical solution of the disclosure of the respective embodiments described above will save after the echo-signal analysis of radar processing
To database.According to the data of database purchase, in combination with the meteorology and climate information of meteorological equipment acquisition, the target of user's typing
Other data such as classification carry out the analysis statistics of goal behavior habit in region, and the result by largely analyzing statistics
Mechanics prediction is carried out to the behavior of target, the rule of goal activities can be counted based on the analysis to a large amount of target datas
Rule and trend, to make timely and effectively counter-measure based on the analysis results.
In the description of this specification, reference term " one embodiment/mode ", " some embodiment/modes ", " show
The description of example ", " specific example " or " some examples " etc. mean to combine the specific features of the embodiment/mode or example description,
Structure, material or feature are contained at least one embodiment/mode or example of the application.In the present specification, to upper
The schematic representation for stating term is necessarily directed to identical embodiment/mode or example.Moreover, the specific features of description,
Structure, material or feature can be combined in any suitable manner in any one or more embodiment/modes or example.In addition,
Without conflicting with each other, those skilled in the art can by different embodiment/modes described in this specification or
Example and different embodiment/modes or exemplary feature are combined.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include at least one this feature.In the description of the present application, the meaning of " plurality " is at least two, such as two, three
It is a etc., unless otherwise specifically defined.
It will be understood by those of skill in the art that above embodiment is used for the purpose of clearly demonstrating the disclosure, and simultaneously
Non- be defined to the scope of the present disclosure.For those skilled in the art, may be used also on the basis of disclosed above
To make other variations or modification, and these variations or modification are still in the scope of the present disclosure.
Claims (10)
1. a kind of radar data processing unit characterized by comprising
Echo signal processing module, the echo signal processing module by echo signal processing at least one target packet,
The target packet includes at least target designation and location information；And
Data processing module receives at least one target packet from the echo signal processing module, will have identical
The target packet of target designation is put into the same processing queue of data processing module, the target that will be numbered with different target
Data packet is put into the different processing queues of data processing module；
The data processing module extracts the location information in each processing queue in each target packet, is based on each mesh
The location information of mark data packet generates the mobile trajectory data of each target.
2. radar data processing unit according to claim 1, which is characterized in that it further include database module, each mesh
Target mobile trajectory data is stored to database module, and the data processing module is each to storing in the database module
The mobile trajectory data of a target carries out real-time update.
3. radar data processing unit according to claim 1 or 2, which is characterized in that it further include data analysis module, institute
Stating data analysis module includes that circumscribed polygon generates submodule and small polygon division submodule；The circumscribed polygon generates
Submodule generates the circumscribed polygon of radar scanning range based on radar scanning range, and the small polygon divides submodule for institute
It states circumscribed polygon and is divided into several small polygons；The data analysis module is by the corresponding geographical location side of each small polygon
Boundary's data are saved to the database module.
4. radar data processing unit according to claim 3, which is characterized in that it further include data display module, it is described
Mobile trajectory data of the data display module based on each small polygon corresponding geographical location data boundary and each target, system
The target for including in each small polygon is counted, the target in each small polygon is shown in the form of statistical chart.
5. radar data processing unit according to claim 4, which is characterized in that include in each small polygon of statistics
After target, the average treatment of same ratio is carried out to the target in each small polygon, it will treated each small polygon
In target be shown in the form of statistical chart.
6. the target packet further includes target range thunder according to claim 1 to radar data processing unit described in 5
Horizontal distance, the elevation angle and the target sizes information reached.
7. radar data processing unit according to claim 3, which is characterized in that the shape of the circumscribed polygon and institute
The shape for stating small polygon is identical.
8. radar data processing unit according to claim 3, which is characterized in that the circumscribed polygon be rectangle or
Regular hexagon.
9. a kind of radar data processing method characterized by comprising
By echo signal processing at least one target packet, the target packet includes at least target designation and position is believed
Breath；
The same processing queue, the target that will be numbered with different target will be put into the target packet that same target is numbered
Data packet is put into different processing queues；And
Extract the location information in each processing queue in each target packet, the position letter based on each target packet
Breath generates the mobile trajectory data of each target.
10. radar data processing method according to claim 9, which is characterized in that further include: the movement to each target
Track data carries out real-time update.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910782080.3A CN110501684B (en) | 2019-08-23 | 2019-08-23 | Radar data processing device and radar data processing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910782080.3A CN110501684B (en) | 2019-08-23 | 2019-08-23 | Radar data processing device and radar data processing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110501684A true CN110501684A (en) | 2019-11-26 |
| CN110501684B CN110501684B (en) | 2022-12-23 |
Family
ID=68588854
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910782080.3A Active CN110501684B (en) | 2019-08-23 | 2019-08-23 | Radar data processing device and radar data processing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110501684B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220242443A1 (en) * | 2021-01-29 | 2022-08-04 | Johannes Traa | Method for detecting objects in automotive-grade radar signals |
Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6801156B1 (en) * | 2003-07-25 | 2004-10-05 | Lockheed Martin Corporation | Frequency-agile monopulse technique for resolving closely spaced targets |
| CN101414006A (en) * | 2008-11-28 | 2009-04-22 | 北京航空航天大学 | Flying bird object identifying and tracking method based on radar image |
| CN103675763A (en) * | 2013-12-04 | 2014-03-26 | 南京鹏力系统工程研究所 | Hardware acceleration based vectorized VTS (vessel traffic service) system radar video drawing method |
| CN104950298A (en) * | 2015-07-01 | 2015-09-30 | 山东康威通信技术股份有限公司 | Target defense-area-crossing identification method based on multiple sets of phased array radar |
| CN105093213A (en) * | 2014-05-15 | 2015-11-25 | 德尔福技术有限公司 | Radar system with improved multi-target discrimination |
| CN105701479A (en) * | 2016-02-26 | 2016-06-22 | 重庆邮电大学 | Intelligent vehicle multi-laser radar fusion recognition method based on target features |
| CN105842676A (en) * | 2016-06-16 | 2016-08-10 | 成都中科合迅科技有限公司 | Radar blind area analysis method and device |
| CN106597411A (en) * | 2016-12-30 | 2017-04-26 | 无锡市雷华科技有限公司 | Radar signal processing method |
| CN107515392A (en) * | 2017-08-11 | 2017-12-26 | 北京中科罗宾雷达技术有限公司 | The crime prevention system and method for low small slow target |
| CN107680150A (en) * | 2017-10-25 | 2018-02-09 | 苏州蜗牛数字科技股份有限公司 | A kind of two dimensional image batch render method and device |
| CN107783103A (en) * | 2017-09-26 | 2018-03-09 | 武汉三江中电科技有限责任公司 | A kind of flying bird tracking intelligent method of lightweight with self-learning function |
| CN108226917A (en) * | 2016-12-09 | 2018-06-29 | 梅塔建筑株式会社 | High-accuracy emergency case detecting system based on radar |
| CN108919252A (en) * | 2018-04-03 | 2018-11-30 | 河北泽华伟业科技股份有限公司 | Stormy weather automatic tracing navigation system |
| CN109343008A (en) * | 2018-09-21 | 2019-02-15 | 中国航空无线电电子研究所 | Weather radar display component |
| CN109443369A (en) * | 2018-08-20 | 2019-03-08 | 北京主线科技有限公司 | The method for constructing sound state grating map using laser radar and visual sensor |
| CN109584213A (en) * | 2018-11-07 | 2019-04-05 | 复旦大学 | A kind of selected tracking of multiple target number |
| CN109581343A (en) * | 2018-11-30 | 2019-04-05 | 西安思丹德信息技术有限公司 | Multi-radar network device and multi-direction object detection method |
| CN110118957A (en) * | 2019-05-06 | 2019-08-13 | 上海航天电子有限公司 | A kind of target matching method of the upper and lower frequency sweep of triangle CW with frequency modulation |
-
2019
- 2019-08-23 CN CN201910782080.3A patent/CN110501684B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6801156B1 (en) * | 2003-07-25 | 2004-10-05 | Lockheed Martin Corporation | Frequency-agile monopulse technique for resolving closely spaced targets |
| CN101414006A (en) * | 2008-11-28 | 2009-04-22 | 北京航空航天大学 | Flying bird object identifying and tracking method based on radar image |
| CN103675763A (en) * | 2013-12-04 | 2014-03-26 | 南京鹏力系统工程研究所 | Hardware acceleration based vectorized VTS (vessel traffic service) system radar video drawing method |
| CN105093213A (en) * | 2014-05-15 | 2015-11-25 | 德尔福技术有限公司 | Radar system with improved multi-target discrimination |
| CN104950298A (en) * | 2015-07-01 | 2015-09-30 | 山东康威通信技术股份有限公司 | Target defense-area-crossing identification method based on multiple sets of phased array radar |
| CN105701479A (en) * | 2016-02-26 | 2016-06-22 | 重庆邮电大学 | Intelligent vehicle multi-laser radar fusion recognition method based on target features |
| CN105842676A (en) * | 2016-06-16 | 2016-08-10 | 成都中科合迅科技有限公司 | Radar blind area analysis method and device |
| CN108226917A (en) * | 2016-12-09 | 2018-06-29 | 梅塔建筑株式会社 | High-accuracy emergency case detecting system based on radar |
| CN106597411A (en) * | 2016-12-30 | 2017-04-26 | 无锡市雷华科技有限公司 | Radar signal processing method |
| CN107515392A (en) * | 2017-08-11 | 2017-12-26 | 北京中科罗宾雷达技术有限公司 | The crime prevention system and method for low small slow target |
| CN107783103A (en) * | 2017-09-26 | 2018-03-09 | 武汉三江中电科技有限责任公司 | A kind of flying bird tracking intelligent method of lightweight with self-learning function |
| CN107680150A (en) * | 2017-10-25 | 2018-02-09 | 苏州蜗牛数字科技股份有限公司 | A kind of two dimensional image batch render method and device |
| CN108919252A (en) * | 2018-04-03 | 2018-11-30 | 河北泽华伟业科技股份有限公司 | Stormy weather automatic tracing navigation system |
| CN109443369A (en) * | 2018-08-20 | 2019-03-08 | 北京主线科技有限公司 | The method for constructing sound state grating map using laser radar and visual sensor |
| CN109343008A (en) * | 2018-09-21 | 2019-02-15 | 中国航空无线电电子研究所 | Weather radar display component |
| CN109584213A (en) * | 2018-11-07 | 2019-04-05 | 复旦大学 | A kind of selected tracking of multiple target number |
| CN109581343A (en) * | 2018-11-30 | 2019-04-05 | 西安思丹德信息技术有限公司 | Multi-radar network device and multi-direction object detection method |
| CN110118957A (en) * | 2019-05-06 | 2019-08-13 | 上海航天电子有限公司 | A kind of target matching method of the upper and lower frequency sweep of triangle CW with frequency modulation |
Non-Patent Citations (5)
| Title |
|---|
| CHRISTIAN R. BERGER: "Signal Processing for Passive Radar Using OFDM Waveforms", 《IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING》 * |
| 蔡武等: "基于散射中心模型的典型目标宽带雷达回波仿真", 《航空兵器》 * |
| 鲁德金: "基于SCIT算法的风暴识别、追踪设计以及江淮地区冰雹云雷达回波特征分析", 《中国优秀博硕士学位论文全文数据库(硕士) 基础科学辑》 * |
| 鲁德金: "基于SCIT算法的风暴识别、追踪设计以及江淮地区冰雹云雷达回波特性分析", 《中国优秀博硕士学位论文全文数据库(硕士) 基础科学辑》 * |
| 龙岸文等: "基于多尺度小波变换的双阈值图像散斑噪声消除", 《计算机工程与设计》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220242443A1 (en) * | 2021-01-29 | 2022-08-04 | Johannes Traa | Method for detecting objects in automotive-grade radar signals |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110501684B (en) | 2022-12-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Estrada-Villegas et al. | Effects of tropical forest fragmentation on aerial insectivorous bats in a land-bridge island system | |
| CN108053427A (en) | A kind of modified multi-object tracking method, system and device based on KCF and Kalman | |
| KR101258668B1 (en) | Korea local radar processing system | |
| CN108872962A (en) | Laser radar weak signal extraction and decomposition method based on Fourier Transform of Fractional Order | |
| US20070024494A1 (en) | Classification system for radar and sonar applications | |
| CN109633599B (en) | Multi-target tracking method for airborne early warning radar | |
| CN107748862A (en) | A kind of unmanned plane sorting technique and device based on dual-frequency radar signal time-frequency distributions | |
| CN109584213A (en) | A kind of selected tracking of multiple target number | |
| CN109117776B (en) | Aircraft and meteorological clutter classification and identification method based on flight path information | |
| CN108896995A (en) | A kind of airborne weather radar thunderstorm recognition methods | |
| CN108427824A (en) | A method of utilizing accommodation data extraction gill net net length and angle | |
| CN107316024A (en) | perimeter alarm algorithm based on deep learning | |
| CN110501684A (en) | Radar data processing unit and radar data processing method | |
| CN109613530A (en) | A kind of management-control method of low small slow aerial target Multi-source Information Fusion | |
| CN114638975A (en) | Bird and non-bird repelling method and system for airport | |
| CN117054997A (en) | Millimeter wave radar high-voltage tower point and line point detection method based on CFAR and CNN | |
| CN110658506B (en) | Micro Doppler clutter filtering method based on angle clustering and Doppler analysis | |
| CN107194431A (en) | Airborne LiDAR point cloud data classification technology | |
| CN116171962A (en) | Efficient targeted spray regulation and control method and system for plant protection unmanned aerial vehicle | |
| Chen | Interactive processing of radar target detection and tracking | |
| CN112327266B (en) | Clutter point trace eliminating method based on multidimensional information fusion | |
| CN115327539A (en) | Road guardrail detection method and device | |
| Parr et al. | Acoustic identification of grape clusters occluded by foliage | |
| Gao et al. | YOLOv5-T: A precise real-time detection method for maize tassels based on UAV low altitude remote sensing images | |
| CN114764580A (en) | Real-time human body gesture recognition method based on no-wearing equipment |
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 |