CN110377593A - The processing and screening technique of a kind of low rail multisatellite to spot - Google Patents
The processing and screening technique of a kind of low rail multisatellite to spot Download PDFInfo
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Abstract
Processing and screening technique the invention discloses a kind of low rail multisatellite to spot.This method are as follows: ground satellite station will be uploaded to low orbit satellite to spot attribute information with instruction mode first, and multiple targets that satellite based on analysis result obtains load on star are screened；Then the preceding k target observation data screened buffer area on star is output to store；Message design requirement is formatted then according to data-link, extract useful information in k target observation data, including latitude, longitude, height, course, speed data, and by the target observation data by extracting, message design requirement is formatted by data-link and is encapsulated as data-link formatting message；Data-link is finally formatted into message, ground satellite station is sent to by downlink.The present invention improves the utilization efficiency of channel resource, and improves the freshness and accuracy of information.
Description
Technical field
The invention belongs to software processing technology field on spacecraft star, especially a kind of low rail multisatellite is to scouting mesh
Target processing and screening technique.
Background technique
For many years, low orbit satellite can only be carried single load by the energy power limit such as platform power consumption, volume, weight mostly
Lotus or only single load work in the same time.With the fast development of satellite platform technology and the continuous light weight of load and miniaturization,
The polymorphic types scouting load such as carrying AIS, ADS-B, high resolution camera, LONG WAVE INFRARED has become low rail and defends on same satellite platform
The basic trend of star development.For multi-load low orbit satellite, traditional information processing method is that load obtains multiple investigations on star
Screening Treatment on star is not done after target information, all target of investication data informations are handed down to by dedicated number biography channel directly and are defended
Target data is sent to the ground center Yun Kong after ground satellite station forwards, to the initial data of target of investication by star earth station
Use processing is carried out, detailed process is shown in Fig. 1 and Fig. 2.
Traditional low orbit satellite load data processing and distribution method, i.e. satellite obtain after multiple target of investication data without
On-board processing screening passes channel by dedicated number and all issues, and there are following two aspect is insufficient:
(1) the information concentration for transmitting data is low.Channel, which is passed, by number issues the target complete data obtained on star, data needle
It is poor to property, but earth station only needs specific objective information, causes the consequence that channel bandwidth utilization ratio is low；
(2) useful information obtains poor in timeliness.After earth station's fusion satellite issues data, need from being collected into mass data
Middle extraction useful information, multi-hop link air interface transmission and centre data processing result in result of the investigations and undergo longer long time delay, letter
It is poor to cease processing real-time, so that the time freshness of data is low, influences the accuracy and timeliness of acquisition of information.
Summary of the invention
The purpose of the present invention is to provide a kind of channel resource utilization efficiency, information freshness and accuracy it is high low rail it is more
Processing and screening technique of the function satellite to spot.
The technical solution for realizing the aim of the invention is as follows: the processing and sieve of a kind of low rail multisatellite to spot
Choosing method, comprising the following steps:
Step 1, object filtering: ground satellite station will be uploaded to low rail to spot attribute information with instruction mode and defend
Star, multiple targets that satellite based on analysis result obtains load on star are screened；
Step 2, target information output: the preceding k target observation data screened in step 1 are output on star and are buffered
Area is stored；
Information extraction in step 3, star: message design requirement is formatted according to data-link, is extracted in k target observation data
Useful information, including latitude, longitude, height, course, speed data；
Step 4, data-link message generate:, by the target observation data extracted, will disappear by data-link formatting in step 3
Breath design requirement is encapsulated as data-link and formats message；
Step 5, information back: data-link is formatted into message, ground satellite station is sent to by downlink.
Further, object filtering described in step 1, specific as follows:
Step 1.1, data collection: load target data on star is classified by load type, each load is collected respective
Data, wherein AIS load collects ship target AIS data information, and ADS-B load collects airbound target ADS-B data information, high
Separate loading collects visible data；
Step 1.2, data characterization: information to be transmitted is subjected to the processing of structuring characterization, the first dedicated taboo of tectonic loading
With word set, feature word set, concept set, single load data are subjected to structuring processing, useless number is removed according to disabling word set
According to data needed for carrying out track association feature being extracted according to feature word set, according to concept set by the identical of different expression ways
Concept is mapped as identical concept；Then by treated, structural data carries out Attribute selection, generates target data vector library,
It is expressed as matrix A, wherein each investigation data for being classified as a corresponding target of matrix A, the investigation data equipped with m target, i.e.,
It is expressed as A=(A1,A2,…,Ai,…,Am), each column vector Ai=(ai1,ai2,…,ain), for column vector Ai, wherein each
A data element ai1,ai2,…,ainIt is all the investigation data of target i different dimensions, i=1,2,3 ..., m, n are target of investication
Data dimension；
Step 1.3, the target of investication designation date that ground surface platform is sent to satellite carry out structuring processing, remove useless
Data extract characteristic information according to feature word set, the same concept of different expression ways are mapped as identical concept by concept set,
Vector space model is formed, information is characterized in the form of vectors, i.e. ω=(ω1,ω2,…,ωt), wherein vector data
ωjIndicate different dimensions data belonging to a target that the ground surface platform is investigated, j=1,2,3 ..., t, t are data dimension
Degree；
Step 1.4, according to data attribute, vector data ω is adjusted to the consistent sequence of each column data information of same matrix A
Column；
Step 1.5 calculates Euclidean distance between the target of investication that target of investication result and earth station send on star, on star
The structural data that target of investication result is characterized is matrix A=(A1,A2,…,Am), wherein m is the quantity of target of investication, square
I-th of column vector of battle array A is Ai=(ai1,ai2,…,aij,…,ain) indicate i-th of target n dimension data, n be investigation mesh
Mark data dimension；According to the i-th column vector A of matrix AiWith vector ω=(ω1,ω2,…,ωn), calculate Euclidean distance di, formula
It is as follows:
Wherein i=1,2 ..., m；
Step 1.6, the Euclidean distance d that step 1.5 is calculatediIt is sorted in ascending order, generates priority query, be denoted as
PriorityQueue(Qi), QiIndicate that the data characterization of i-th of observed object, i=1,2 ..., m, m are the quantity of target of investication,
QiCharacterizing method and content and AiIt is identical；
After step 1.7, each target generate formatting message, the channel time slot resource that single target message occupies is denoted as
L, occurrence are determined by the occupied slot length of different messages type；
Step 1.8, satellite data chain load according to real-time down channel capacity, calculate distribute to spaceborne load it is total when
Gap number of resources, is denoted as w；
Step 1.9, the resource l according to needed for available resources w and target calculate the target under current channel condition for transmission
Quantity k, wherein k=| w/l |；
Step 1.10, output are in priority query PriorityQueue (Qi) in preceding k target observable information number
According to.
Further, target information described in step 2 exports, specific as follows:
The preceding k target observation data screened in step 1 are output to buffer area on star to store, k is channel
Under the conditions of for transmission destination number, if k observed object is respectively A1,A2,…,Ai,…,Ak, wherein first aim is seen
Measured data is expressed as A1=(a11,a12,…,a1n), i-th of target observation data is expressed as Ai=(ai1,ai2,…,aij,…,
ain) ..., k-th of target observation data be expressed as Ak=(ak1,ak2,…,akj,…,akn), AiIn each element ai1,
ai2,…ainIt is the corresponding different dimensions observation data of target i.
Further, information extraction on star described in step 3, specific as follows:
Message design requirement is formatted according to data-link, extracts useful information in k target observation data, k is channel item
For the destination number of transmission under part, useful information includes longitude, latitude, height, course, speed data, and useful information shares p
, p is the dimension of useful information, wherein p < n, and n is target of investication data dimension, and for target k, the observation information after extraction is
The observation data A of k-th of targetk=(ak1,…,akj,…,akp), A at this timekFor the data characterization of p dimension of k-th of target.
Compared with prior art, the present invention its remarkable advantage is: (1) improving the channel resource benefit of business feature coupling
With efficiency: load obtains information after on-board processing screens on star, only sends in range same or similar with ground surface platform
Emphasis observed object, and transmitting information only includes key element, filtered information is distributed to the further fusion treatment of earth station,
The bandwidth availability ratio for improving satellite downlink is even more important for low-frequency range low orbit satellite；(2) improve information freshness and
Accuracy: by extracting with targetedly target information, satellite load can quickly provide the observation mesh of ground surface platform acquisition
The main information in same or similar range is marked, redundancy is rejected, saves mass data in the fusion at floor treatment center
Journey makes important information go directly earth station's tip, ensure that the freshness of earth station's key message service requires and precise requirements.
Detailed description of the invention
Fig. 1 is the flow diagram of single-point load low orbit satellite target of investication Information Number transmission method.
Fig. 2 is the flow diagram of multi-load low orbit satellite target of investication Information Number transmission method.
Fig. 3 is the flow diagram of the low rail multisatellite target of investication processing of the present invention and screening technique.
Fig. 4 is the flow diagram of data screening algorithm in the present invention.
Specific embodiment
The present invention obtains clarification of objective information by extracting investigation, and according to the real-time downlink channel condition of low orbit satellite,
Multiple target of investication identification informations are quickly screened, the weight of terrestrial information fusion site information processing requirement can be preferably met
Point target makes as described below the term used in the present invention:
Ground satellite station: to satellite launch assignment instructions, and lower point of satellite of data are received；
The ground center Yun Kong: executing the earth station of the tasks such as tracking measurement, telemetering, remote control and communication to low orbit satellite, can
Need to generate control instruction, upper note satellite, real-time perfoming task control according to task；
AIS load: load on a kind of small-sized star, collecting ship automatic identification system, (AIS is generally mounted in larger ton
On the ship of position) it is sent to the ship static state and dynamic operation data of satellite；
ADS-B load: load on a kind of small-sized star collects the flight number that the automatic related system of airborne broadcast type is sent
According to；
Data-link: data-link be it is a kind of use Standardization Communication link, be exclusively used in efficient data transfer and the tactics that exchange
Information system；The system between sensor, maneuvering platform and weapon platform by establishing wireless network, and according to Uniform provisions
Message format and communication protocol operation, realize that situation of battlefield, command and guide, tactics collaboration, the significant datas such as weapon control are believed
The efficient circulation of breath；
Track association: after each sensor platform generates track information, targetpath that other sensor platforms are sent into
The method of row judgement, can recognize whether the targetpath that other sensor platforms are sent and the targetpath that this platform is sent belong to
The same target；
Track Fusion: will be originated from the local tracks information of multiple sensor platforms, using certain method and rule, optimization
The useful information that fusion different aforementioned sources provide forms global track.
The present invention plants processing and screening technique of the low rail multisatellite to spot, comprising the following steps:
Step 1, object filtering: ground satellite station will be uploaded to low rail to spot attribute information with instruction mode and defend
Star, multiple targets that satellite based on analysis result obtains load on star are screened；
Step 2, target information output: the preceding k target observation data screened in step 1 are output on star and are buffered
Area is stored；
Information extraction in step 3, star: message design requirement is formatted according to data-link, is extracted in k target observation data
Useful information, including latitude, longitude, height, course, speed data；The data-link is a kind of use Standardization Communication link,
The Tactical Information System for being exclusively used in data transmission and exchanging；It is formulated inside data-link to guarantee information exchange between related system
Information arrangement specification；
Step 4, data-link message generate:, by the target observation data extracted, will disappear by data-link formatting in step 3
Breath design requirement is encapsulated as data-link and formats message；
Step 5, information back: data-link is formatted into message, ground satellite station is sent to by downlink.
Further, object filtering described in step 1, specific as follows:
Step 1.1, data collection: load target data on star is classified by load type, each load is collected respective
Data, wherein AIS load collects ship target AIS data information, and ADS-B load collects airbound target ADS-B data information, high
Separate loading collects visible data；The AIS load is load on a kind of star, collects ship automatic identification system and is sent to satellite
Ship is static and dynamic operation data；ADS-B load is load on a kind of star, and it is automatic to collect the broadcast type carried aboard
The flying quality for the aircraft that related system is collected into；
Step 1.2, data characterization: information to be transmitted is subjected to the processing of structuring characterization, the first dedicated taboo of tectonic loading
With word set, feature word set, concept set, the disabling word set is used to mark the data set useless to reflection target signature, Feature Words
Collection is for marking the data set of reflection target signature, concept set to be used to mark the data set with same target feature；It will be single
Load data carries out structuring processing, removes useless data according to disabling word set, is extracted according to feature word set and carry out track pass
Data needed for joining feature, are mapped as identical concept for the same concept of different expression ways according to concept set；It then will processing
Structural data afterwards carries out Attribute selection, generates target data vector library, is expressed as matrix A, wherein each column of matrix A
For the investigation data of a corresponding target, the investigation data equipped with m target are expressed as A=(A1,A2,…,Ai,…,Am),
Each column vector Ai=(ai1,ai2,…,ain).For column vector Ai, each data element ai1,ai2,…,ainIt is all some mesh
Mark (it is at this time the investigation data of target i) different dimensions, i=1,2,3 ..., m, such as when i=1, a11,a12,…,a1nIt is
The investigation data of one target share n data dimension, such as 5 kinds of longitude, latitude, height, course, speed of a ship or plane dimensions, n=at this time
5, as can be seen from the above description, n is target of investication data dimension.
Step 1.3, the target of investication designation date that ground surface platform is sent to satellite carry out structuring processing, remove useless
Data extract characteristic information according to feature word set, the same concept of different expression ways are mapped as identical concept by concept set,
Vector space model is formed, information is characterized in the form of vectors, i.e. ω=(ω1,ω2,…,ωt), wherein vector data
ωjIndicate different dimensions data belonging to a target that the ground surface platform is investigated, j=1,2,3 ..., t, t are data dimension
Degree, such as 5 kinds of longitude, latitude, height, course, speed of a ship or plane dimensions, t=5 at this time；
Step 1.4, according to data attribute, vector data ω is adjusted to the consistent sequence of each column data information of same matrix A
Column；
The Euclidean distance between target of investication that target of investication result and earth station send in step 1.5, calculating star.On star
Target of investication result characterize (characterizing method see step 1.2) structural data be matrix A=(A1,A2,…,Am), wherein m
For the quantity of target of investication, i-th of column vector of matrix A is Ai=(ai1,ai2,…,aij,…,ain) indicate i-th of target n
Dimension data, n are target of investication data dimension (such as there are 5 kinds of longitude, latitude, height, course, speed of a ship or plane dimension when n=5).Root
According to the i-th column vector A of matrix AiWith vector ω=(ω1,ω2,…,ωn) (vector ω indicates that ground surface platform is sent to satellite
The structural data of target of investication, characterizing method is as shown in step 1.3) calculate Euclidean distance di, formula is as follows:
Wherein i=1,2 ..., m；
Step 1.6, the Euclidean distance d that step 1.5 is calculatediIt is sorted in ascending order, generates priority query, be denoted as
PriorityQueue(Qi), QiIndicate that the data characterization of i-th of observed object, i=1,2 ..., m, m are the quantity of target of investication,
QiCharacterizing method and content and step 1.5 in AiIt is identical；
After step 1.7, each target generate formatting message, the channel time slot resource that single target message occupies is denoted as
L, occurrence are determined by the occupied slot length of different messages type；
Step 1.8, satellite data chain load according to real-time down channel capacity, calculate distribute to spaceborne load it is total when
Gap number of resources, is denoted as w；
Step 1.9, the resource l according to needed for available resources w and target calculate the target under current channel condition for transmission
Quantity k, wherein k=| w/l |；
Step 1.10, output are in priority query PriorityQueue (Qi) in preceding k target observable information number
According to.
Further, target information described in step 2 exports, specific as follows:
By the preceding k screened in step 1 (k is the destination number under channel condition for transmission) a target observation data
It is output to buffer area on star to be stored, if k observed object is respectively A1,A2,…,Ai,…,Ak, wherein first aim is seen
Measured data is expressed as A1=(a11,a12,…,a1n), i-th of target observation data is expressed as Ai=(ai1,ai2,…,aij,…,
ain) ..., k-th of target observation data be expressed as Ak=(ak1,ak2,…,akj,…,akn), AiIn each element ai1,
ai2,…ainBe some targets (be at this time the corresponding different dimensions observation data of target i), n is target of investication data dimension,
N=5 when such as there is 5 kinds of longitude, latitude, height, course, speed of a ship or plane dimensions.
Further, information extraction on star described in step 3, specific as follows:
Message design requirement is formatted according to data-link, extracts k (k is the destination number under channel condition for transmission)
Useful information (such as longitude, latitude, height, course, speed data item) in target observation data, sharing p, (p is useful information
Dimension, if the useful design by data-link message determines, for example, only longitude, latitude, 3 dimensions of height information have
With then p=3), wherein (n is total dimension of target to p < n, such as target observation is total to longitude, latitude, height, course, rate
The information of 5 dimensions, then n=5), for target k, the observation information after extraction is the observation data A of k-th of targetk=
(ak1,…,akj,…,akp), A at this timekFor the data characterization of p dimension of k-th of target.
The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
Embodiment
In conjunction with Fig. 3, processing and screening technique of the low rail multisatellite of the present invention to spot, comprising the following steps:
Step 1, object filtering
Ground satellite station will be uploaded to low orbit satellite to spot attribute information with instruction mode, and satellite is based on parsing knot
Multiple targets that fruit obtains load on star are screened.Wherein, ground satellite station is sent to the target of investication spy of low orbit satellite
Sign data with data-link format message mode be packaged, format using platform itself precise positioning and identification class message and
The track class message of target of investication；After parsing on star to data-link formatting message, load is collected into all on star
The target for indicating target tight association with earth station is searched in target of investication data, these target data results are sent on star
Data send buffer area；
Data screening process be based on low orbit satellite real time channel quality and its available bandwidth, take channel self-adapting mode into
Row, data screening process is as shown in figure 4, specific as follows:
Step 1.1, data collection: load target data on star is classified by load type, each load is collected respective
Data, wherein AIS load collects ship target AIS data information, and ADS-B load collects airbound target ADS-B data information, high
Separate loading collects visible data；
Step 1.2, data characterization: information to be transmitted is subjected to the processing of structuring characterization, the first dedicated taboo of tectonic loading
With word set, feature word set, concept set, single load data are subjected to structuring processing, useless number is removed according to disabling word set
According to data needed for carrying out track association feature being extracted according to feature word set, according to concept set by the identical of different expression ways
Concept is mapped as identical concept；Then by treated, structural data carries out Attribute selection, generates target data vector library,
It is expressed as matrix A, wherein each investigation data for being classified as a corresponding target of matrix A, the investigation data equipped with m target, i.e.,
It is expressed as A=(A1,A2,…,Ai,…,Am), each column vector Ai=(ai1,ai2,…,ain).For column vector Ai, each number
According to element ai1,ai2,…,ainAll be some targets (be at this time the investigation data of target i) different dimensions, i=1,2,3 ..., m,
Such as when i=1, a11,a12,…,a1nIt is the investigation data of first aim, n data dimension is shared, such as longitude, latitude, height
5 kinds of degree, course, speed of a ship or plane dimensions, n=5 at this time, as can be seen from the above description, n are target of investication data dimension；
Step 1.3, the target of investication designation date that ground surface platform is sent to satellite carry out structuring processing, remove useless
Data extract characteristic information according to feature word set, the same concept of different expression ways are mapped as identical concept by concept set,
Vector space model is formed, information is characterized in the form of vectors, i.e. ω=(ω1,ω2,…,ωt), wherein vector data
ωjIndicate different dimensions data belonging to a target that the ground surface platform is investigated, j=1,2,3 ..., t, t are data dimension
Degree, such as 5 kinds of longitude, latitude, height, course, speed of a ship or plane dimensions, t=5 at this time；
Step 1.4, according to data attribute, vector data ω is adjusted to the consistent sequence of each column data information of same matrix A
Column, such as AiIn first data ai1With first data ω in ω vector1It is all longitude data, second data ai2And ω2Together
For latitude data；
The Euclidean distance between target of investication that target of investication result and earth station send in step 1.5, calculating star.On star
Target of investication result characterize (characterizing method see step 1.2) structural data be matrix A=(A1,A2,…,Am), wherein m
For the quantity of target of investication, i-th of column vector of matrix A is Ai=(ai1,ai2,…,aij,…,ain) indicate i-th of target n
Dimension data, n are target of investication data dimension (such as there are 5 kinds of longitude, latitude, height, course, speed of a ship or plane dimension when n=5).Root
According to the i-th column vector A of matrix AiWith vector ω=(ω1,ω2,…,ωn) (vector ω indicates that ground surface platform is sent to satellite
The structural data of target of investication, characterizing method is as shown in step 1.4) calculate Euclidean distance di, formula is as follows:
Wherein i=1,2 ..., m；
Step 1.6, the Euclidean distance d that step 1.5 is calculatediIt is sorted in ascending order, generates priority query, be denoted as
PriorityQueue(Qi), QiIndicate i-th of observed object, i=1,2 ..., m, m is the quantity of target of investication, QiCharacterization side
A in method and content and step 1.5iIt is identical；
After step 1.7, each target generate formatting message, the channel time slot resource that single target message occupies is denoted as l,
Occurrence is determined by the slot length of different messages type；
Step 1.8, satellite data chain load according to real-time down channel capacity, calculate distribute to spaceborne load it is total when
Gap number of resources, is denoted as w；
Step 1.9, the resource l according to needed for available resources w and target calculate the target under current channel condition for transmission
Quantity k, wherein k=| w/l |；
Step 1.10, output are in priority query PriorityQueue (Qi) in preceding k target observable information number
According to.
Step 2, target information output
By the preceding k screened in step 1 (k is the destination number under channel condition for transmission) a target observation data
It is output to buffer area on star to be stored, if k observed object is respectively A1,A2,…,Ai,…,Ak, wherein first aim is seen
Measured data is expressed as A1=(a11,a12,…,a1n), i-th of target observation data is expressed as Ai=(ai1,ai2,…,aij,…,
ain) ..., k-th of target observation data be expressed as Ak=(ak1,ak2,…,akj,…,akn), AiIn each element ai1,
ai2,…ainIt is that some target (observes data at this time for the corresponding different dimensions of target i), n is target of investication data dimension
(such as there are 5 kinds of longitude, latitude, height, course, speed of a ship or plane dimension when n=5)；
Step 3, upper information extraction
Message design requirement is formatted according to data-link, extracts k (k is the destination number under channel condition for transmission)
Useful information (such as longitude, latitude, height, course, speed data item) in target observation data, sharing p, (p is useful information
Dimension, if the useful design by data-link message determines, for example, only longitude, latitude, 3 dimensions of height information have
With then p=3), wherein (n is total dimension of target to p < n, such as target observation is total to longitude, latitude, height, course, rate
The information of 5 dimensions, then n=5), for target k, the observation information after extraction is the observation data A of k-th of targetk=
(ak1,…,akj,…,akp), A at this timekFor the data characterization of p dimension of k-th of target；
Step 4, data-link message generate
To the target observation data extracted are passed through in step 3, message design requirement is formatted by data-link and is encapsulated as data
Chain formats message；
Step 5, information back
Data-link is formatted into message, ground satellite station is sent to by downlink.
The present invention designs use in low orbit satellite analog demenstration verifying system, which is verified more by analog simulation
The performance of low orbit satellite under load-up condition.It is more that low orbit satellite carries dedicated data-link load and AIS, ADS-B, high score etc.
Kind observation load, observation load can obtain the data of each target multidimensional degree in satellite coverage area, while satellite has centainly
On-board processing ability, ground specific objective can be sent to satellite data and star on observation load obtain region in number
According to being handled and screened.The screening and processing method that the present invention designs are used in load data processor module on star, the mould
The data that block can send ground on satellite are extracted and are analyzed, and with the method for the invention, will meet regulation (by data
Chain message handling device is arranged) the target observation data of demand are sent to ground satellite station.
Through this embodiment, it was demonstrated that the low rail multisatellite of the present invention will be on star to the processing of spot and screening technique
Load obtains information after on-board processing screens, and the emphasis only sent in range same or similar with ground surface platform observes mesh
Mark, and transmitting information only includes key element, filtered information is distributed to the further fusion treatment of earth station, effectively increases
The bandwidth availability ratio of satellite downlink；By extracting with targetedly target information, it is flat that satellite load can quickly provide ground
The main information in the same or similar range of observed object that platform obtains, rejects redundancy, saves mass data at ground
The fusion process at reason center makes important information go directly earth station's tip, ensure that the freshness of earth station's key message service is wanted
Summation precise requirements.
Claims (4)
1. processing and screening technique of a kind of low rail multisatellite to spot, which comprises the following steps:
Step 1, object filtering: ground satellite station will be uploaded to low orbit satellite to spot attribute information with instruction mode, defend
Multiple targets that star based on analysis result obtains load on star are screened；
Step 2, target information output: by the preceding k target observation data screened in step 1 be output on star buffer area into
Row storage；
Information extraction in step 3, star: message design requirement is formatted according to data-link, is extracted useful in k target observation data
Information, including latitude, longitude, height, course, speed data；
Step 4, data-link message generate:, by the target observation data extracted, will format message in step 3 by data-link and set
Meter requires to be encapsulated as data-link formatting message；
Step 5, information back: data-link is formatted into message, ground satellite station is sent to by downlink.
2. processing and screening technique of the low rail multisatellite according to claim 1 to spot, which is characterized in that
Object filtering described in step 1, specific as follows:
Step 1.1, data collection: load target data on star is classified by load type, and each load collects respective data,
Wherein AIS load collects ship target AIS data information, and ADS-B load collects airbound target ADS-B data information, high load sharing
Lotus collects visible data；
Step 1.2, data characterization: information to be transmitted is subjected to the processing of structuring characterization, the first dedicated stop word of tectonic loading
Single load data are carried out structuring processing by collection, feature word set, concept set, remove useless data, root according to disabling word set
Data needed for carrying out track association feature are extracted according to feature word set, are reflected the same concept of different expression ways according to concept set
It penetrates as identical concept；Then by treated, structural data carries out Attribute selection, generates target data vector library, is expressed as
Matrix A, wherein each investigation data for being classified as a corresponding target of matrix A, the investigation data equipped with m target are expressed as
A=(A1,A2,…,Ai,…,Am), each column vector Ai=(ai1,ai2,…,ain), for column vector Ai, wherein each data
Element ai1,ai2,…,ainIt is all the investigation data of target i different dimensions, i=1,2,3 ..., m, n are target of investication data dimension
Degree；
Step 1.3, the target of investication designation date that ground surface platform is sent to satellite carry out structuring processing, remove useless number
According to, according to feature word set extract characteristic information, the same concept of different expression ways is mapped as identical concept, shape by concept set
At vector space model, information is characterized in the form of vectors, i.e. ω=(ω1,ω2,…,ωt), wherein vector data ωj
Indicate different dimensions data belonging to a target that the ground surface platform is investigated, j=1,2,3 ..., t, t are data dimension
Number；
Step 1.4, according to data attribute, vector data ω is adjusted to the consistent sequence of each column data information of same matrix A；
Step 1.5 calculates Euclidean distance between the target of investication that target of investication result and earth station send on star, investigates on star
The structural data that objective result is characterized is matrix A=(A1,A2,…,Am), wherein m is the quantity of target of investication, matrix A
I-th of column vector is Ai=(ai1,ai2,…,aij,…,ain) indicate i-th of target n dimension data, n be target of investication data
Dimension；According to the i-th column vector A of matrix AiWith vector ω=(ω1,ω2,…,ωn), calculate Euclidean distance di, formula is as follows:
Wherein i=1,2 ..., m；
Step 1.6, the Euclidean distance d that step 1.5 is calculatediIt is sorted in ascending order, generates priority query, be denoted as
PriorityQueue(Qi), QiIndicate that the data characterization of i-th of observed object, i=1,2 ..., m, m are the quantity of target of investication,
QiCharacterizing method and content and AiIt is identical；
After step 1.7, each target generate formatting message, the channel time slot resource that single target message occupies is denoted as l, is had
Body value is determined by the occupied slot length of different messages type；
Step 1.8, satellite data chain load calculate the total time slot money for distributing to spaceborne load according to real-time down channel capacity
Source number, is denoted as w；
Step 1.9, the resource l according to needed for available resources w and target calculate the destination number under current channel condition for transmission
K, wherein k=| w/l |；
Step 1.10, output are in priority query PriorityQueue (Qi) in preceding k target observable information data.
3. processing and screening technique of the low rail multisatellite according to claim 1 to spot, which is characterized in that
The output of target information described in step 2, specific as follows:
The preceding k target observation data screened in step 1 are output to buffer area on star to store, k is channel condition
Under for transmission destination number, if k observed object is respectively A1,A2,…,Ai,…,Ak, wherein first aim observes number
According to being expressed as A1=(a11,a12,…,a1n), i-th of target observation data is expressed as Ai=(ai1,ai2,…,aij,…,
ain) ..., k-th of target observation data be expressed as Ak=(ak1,ak2,…,akj,…,akn), AiIn each element ai1,
ai2,…ainIt is the corresponding different dimensions observation data of target i.
4. processing and screening technique of the low rail multisatellite according to claim 1 to spot, which is characterized in that
Information extraction on star described in step 3, specific as follows:
Message design requirement is formatted according to data-link, extracts useful information in k target observation data, k is under channel condition
For the destination number of transmission, useful information includes longitude, latitude, height, course, speed data, and useful information is p shared, p
For the dimension of useful information, wherein p < n, n is target of investication data dimension, and for target k, the observation information after extraction is kth
The observation data A of a targetk=(ak1,…,akj,…,akp), A at this timekFor the data characterization of p dimension of k-th of target.
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