CN110377593B - Method for processing and screening reconnaissance target by low-orbit multifunctional satellite - Google Patents
Method for processing and screening reconnaissance target by low-orbit multifunctional satellite Download PDFInfo
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Abstract
The invention discloses a method for processing and screening a reconnaissance target by a low-orbit multifunctional satellite. The method comprises the following steps: firstly, a satellite ground station uploads attribute information of a target to be detected to a low-orbit satellite in an instruction mode, and the satellite screens a plurality of targets obtained by loads on the satellite based on an analysis result; outputting the first k screened target observation data to an on-satellite buffer area for storage; extracting useful information including longitude and latitude, altitude, course and speed data from the k target observation data according to the design requirement of the data chain formatted message, and packaging the extracted target observation data into the data chain formatted message according to the design requirement of the data chain formatted message; finally, the data chain formatted message is sent to the satellite earth station via the downlink. The invention improves the utilization efficiency of channel resources and improves the freshness and the accuracy of information.
Description
Technical Field
The invention belongs to the technical field of on-satellite software processing of spacecrafts, and particularly relates to a method for processing and screening a reconnaissance target by a low-orbit multifunctional satellite.
Background
For many years, low earth orbit satellites are limited by the capabilities of power consumption, size, weight and the like of a platform, and most of the low earth orbit satellites can only carry a single load or only work with the single load at the same time. With the rapid development of satellite platform technology and the continuous light weight and miniaturization of loads, the carrying of various types of reconnaissance loads such as AIS, ADS-B, high-resolution cameras, long-wave infrared and the like on the same satellite platform has become a basic trend of low-orbit satellite development. For a multi-load low-orbit satellite, the conventional information processing method is that the on-satellite load obtains a plurality of pieces of investigation target information, then on-satellite screening processing is not performed, all investigation target data information is directly issued to a satellite ground station through a special data transmission channel, target data is sent to a ground operation and control center after being forwarded by the satellite ground station, and information fusion processing is performed on original data of the investigation targets, wherein the specific flow is shown in fig. 1 and fig. 2.
The traditional low earth orbit satellite load data processing and distributing method is that the satellite acquires a plurality of detection target data, and then the detection target data are completely issued through a special data transmission channel without on-satellite processing and screening, and the following two defects exist:
(1) the information density of the transmission data is low. All target data acquired from the satellite are sent through a data transmission channel, the data pertinence is poor, but the ground station only needs specific target information, and the result of low channel bandwidth utilization rate is caused;
(2) useful information acquisition is less time-efficient. After the ground station fuses with the satellite to send data, useful information needs to be extracted from the collected mass data, detection results are subjected to long time delay due to multi-hop link air interface transmission and central data processing, the real-time performance of information processing is poor, the time freshness of the data is low, and the accuracy and timeliness of information acquisition are affected.
Disclosure of Invention
The invention aims to provide a method for processing and screening a reconnaissance target by a low-orbit multifunctional satellite, which has high channel resource utilization efficiency, high information preservation degree and high accuracy.
The technical solution for realizing the purpose of the invention is as follows: a method for processing and screening reconnaissance targets by a low-orbit multifunctional satellite comprises the following steps:
step 1, target screening: the satellite ground station uploads the attribute information of the target to be detected to a low-orbit satellite in an instruction mode, and the satellite screens a plurality of targets obtained by the load on the satellite based on the analysis result;
step 2, target information output: outputting the first k target observation data screened out in the step 1 to an on-satellite buffer area for storage;
step 3, extracting satellite information: extracting useful information in k target observation data according to the design requirement of a data chain formatted message, wherein the useful information comprises longitude and latitude, altitude, course and speed data;
and 4, generating a data link message: packaging the target observation data extracted in the step 3 into a data chain formatted message according to the design requirement of the data chain formatted message;
and 5, information returning: the data chain formatted message is transmitted over the downlink to the satellite earth station.
Further, the target screening in step 1 is specifically as follows:
step 1.1, data collection: classifying the satellite load target data according to load types, and collecting respective data of each load, wherein AIS loads collect AIS data information of ship targets, ADS-B loads collect flight target ADS-B data information, and high-resolution loads collect visible light data;
step 1.2, data characterization: carrying out structuralized characterization processing on information to be transmitted, firstly constructing a forbidden word set, a feature word set and a concept set special for a load, carrying out structuralized processing on single load data, removing useless data according to the forbidden word set, extracting data required for carrying out track association features according to the feature word set, and mapping the same concepts of different expression modes into the same concept according to the concept set; and then, extracting characteristic items of the processed structured data to generate a target data vector library, wherein the target data vector library is expressed as a matrix A, each column of the matrix A is investigation data corresponding to one target, and the investigation data of m targets is provided, namely the matrix A is expressed as (A ═ A1,A2,…,Ai,…,Am) Each column vector Ai＝(ai1,ai2,…,ain) For the column vector AiWherein each data element ai1,ai2,…,ainThe detection data of different dimensions of the target i are obtained, wherein i is 1,2,3, and m and n are the dimensions of the detection target data;
step 1.3, carrying out structuralization processing on the detection target indication data sent to the satellite by the ground platform, removing useless data, extracting feature information according to the feature word set, mapping the same concepts in different expression modes into the same concept according to the concept set to form a space vector model, and characterizing the information in a vector form, namely, omega (omega)1,ω2,…,ωt) Wherein the vector data ωjRepresenting different dimension data of a target detected by the ground platform, wherein j is 1,2, 3.
Step 1.4, adjusting vector data omega into a sequence consistent with data information of each column of the matrix A according to the data attribute;
step 1.5, calculating the Euclidean distance between the result of the on-satellite detection target and the detection target sent by the ground station, wherein the structural data represented by the result of the on-satellite detection target is a matrix A ═ A (A)1,A2,…,Am) Where m is the number of targets to be investigated and the ith column vector of matrix A is Ai＝(ai1,ai2,…,aij,…,ain) Representing the n-dimensional data of the ith target, wherein n is the data dimension of the investigation target; vector A of ith column according to matrix AiSum vector ω ═ ω (ω ═ ω)1,ω2,…,ωn) Calculating the Euclidean distance diThe formula is as follows:
wherein i is 1,2, …, m;
step 1.6, calculating the Euclidean distance d obtained in the step 1.5iSort in ascending order, generate a priority queue, denoted as PriorityQueue (Q)i)，QiData representation of the ith observation target, i is 1,2, …, m is the number of detection targets, and QiOf (2) and content and AiThe same;
step 1.7, after each target generates a formatted message, recording the channel time slot resource occupied by a single target message as l, wherein the specific value is determined by the time slot length occupied by different message types;
step 1.8, the satellite data link load calculates the total time slot resource number distributed to the satellite load according to the real-time downlink channel capacity and records as w;
step 1.9, calculating the number k of targets available for transmission under the current channel condition according to the available resource w and the resource l required by the targets, wherein k is | w/l |;
step 1.10, output priority queue (Q)i) Observable information data of the first k targets in (1).
Further, the target information output in step 2 is specifically as follows:
outputting the first k target observation data screened in the step 1 to an on-satellite buffer area for storage, wherein k is the number of targets which can be sent under the condition of a channel, and the k observation targets are respectively set as A1,A2,…,Ai,…,AkWherein the first target observation is represented as A1＝(a11,a12,…,a1n) The ith target observation data is represented as Ai＝(ai1,ai2,…,aij,…,ain) ,., the k-th target observation is denoted as Ak＝(ak1,ak2,…,akj,…,akn)，AiEach of the elements ai1,ai2,…ainAll are different dimensionality observation data corresponding to the target i.
Further, the on-satellite information extraction in step 3 is specifically as follows:
according to the design requirement of a data chain formatted message, useful information in k target observation data is extracted, k is the number of targets which can be sent under the condition of a channel, the useful information comprises longitude, latitude, altitude, course and speed data, the useful information has p items, and p is the dimension of the useful information, wherein p is the dimension of the useful information<n, n is the dimension of the data of the investigation target, and for the target k, the extracted observation information is the observation data A of the kth targetk＝(ak1,…,akj,…,akp) At this time AkAnd characterizing the data of the k target p dimensions.
Compared with the prior art, the invention has the remarkable advantages that: (1) the channel resource utilization efficiency of service characteristic coupling is improved: after satellite-borne processing and screening are carried out on satellite load acquisition information, only key observation targets which are the same as or close to the ground platform are sent, and transmission information only comprises key elements; (2) the freshness and the accuracy of the information are improved: through targeted target information extraction, the satellite load can quickly provide main information in the same or similar range of an observation target acquired by a ground platform, redundant information is eliminated, the fusion process of a large amount of data in a ground processing center is omitted, important information is enabled to reach the tip of a ground station directly, and the freshness requirement and the accuracy requirement of key information service of the ground station are guaranteed.
Drawings
Fig. 1 is a flow chart of a single-load low-orbit satellite investigation target information data transmission method.
Fig. 2 is a flow chart of a multi-load low-orbit satellite investigation target information data transmission method.
FIG. 3 is a flow chart of the method for processing and screening the low-orbit multifunctional satellite detection target according to the present invention.
FIG. 4 is a flow chart of the data screening algorithm of the present invention.
Detailed Description
The invention obtains the characteristic information of the target by extracting investigation, rapidly screens the identification information of a plurality of investigation targets according to the real-time downlink channel state of the low-earth orbit satellite, preferably selects key targets which can meet the information processing requirement of a ground information fusion station, and makes the following description on terms used in the invention:
satellite ground station: transmitting a task instruction to a satellite and receiving satellite downlink data;
ground operation and control center: the ground station which executes tasks such as tracking measurement, remote control, communication and the like on the low-orbit satellite can generate a control instruction according to the task requirement, annotate the satellite and perform task control in real time;
AIS load: a small-sized on-board load can collect ship static and dynamic operation data sent to a satellite by an Automatic Identification System (AIS) of a ship (generally carried on a ship with larger tonnage);
ADS-B loading: a small onboard load can collect flight data sent by an onboard broadcast type automatic correlation system;
and (3) data chain: the data link is a tactical information system which adopts a standardized communication link and is specially used for high-efficiency data transmission and exchange; the system establishes a wireless network among the sensor, the command platform and the weapon platform, and operates according to a uniformly specified message format and a communication protocol, so that the high-efficiency circulation of important data information such as battlefield situation, command guidance, tactical collaboration, weapon control and the like is realized;
and (3) track association: after each sensor platform generates track information, the method for judging the target tracks sent by other sensor platforms can identify whether the target tracks sent by other sensor platforms and the target track sent by the platform belong to the same target;
and (3) track fusion: local track information from a plurality of sensor platforms is optimized and fused with useful information provided by different information sources by adopting a certain method and rule to form a global track.
The invention discloses a method for processing and screening a reconnaissance target by a low-orbit multifunctional satellite, which comprises the following steps of:
step 1, target screening: the satellite ground station uploads the attribute information of the target to be detected to a low-orbit satellite in an instruction mode, and the satellite screens a plurality of targets obtained by the load on the satellite based on the analysis result;
step 2, target information output: outputting the first k target observation data screened out in the step 1 to an on-satellite buffer area for storage;
step 3, extracting satellite information: extracting useful information in k target observation data according to the design requirement of a data chain formatted message, wherein the useful information comprises longitude and latitude, altitude, course and speed data; the data link is a tactical information system which adopts a standardized communication link and is specially used for data transmission and exchange; the data chain is internally provided with an information arrangement standard which is set for ensuring information exchange between related systems;
and 4, generating a data link message: packaging the target observation data extracted in the step 3 into a data chain formatted message according to the design requirement of the data chain formatted message;
and 5, information returning: the data chain formatted message is transmitted over the downlink to the satellite earth station.
Further, the target screening in step 1 is specifically as follows:
step 1.1, data collection: classifying the satellite load target data according to load types, and collecting respective data of each load, wherein AIS loads collect AIS data information of ship targets, ADS-B loads collect flight target ADS-B data information, and high-resolution loads collect visible light data; the AIS load is an on-satellite load and collects ship static and dynamic operation data sent to a satellite by an automatic ship identification system; the ADS-B load is an onboard load and is used for collecting flight data of the airplane collected by a broadcast type automatic correlation system carried on the airplane;
step 1.2, data characterization: carrying out structural representation processing on information to be transmitted, and firstly constructing a load-specific forbidden word set, a feature word set and a concept set, wherein the forbidden word set is used for marking a data set which is useless for reflecting target features, the feature word set is used for marking a data set which reflects the target features, and the concept set is used for marking a data set with the same target features; carrying out structuralization processing on the single load data, removing useless data according to the forbidden word set, extracting data required by track association characteristics according to the characteristic word set, and mapping the same concepts in different expression modes into the same concept according to the concept set; and then, extracting characteristic items of the processed structured data to generate a target data vector library, wherein the target data vector library is expressed as a matrix A, each column of the matrix A is investigation data corresponding to one target, and the investigation data of m targets is provided, namely the matrix A is expressed as (A ═ A1,A2,…,Ai,…,Am) Each column vector Ai＝(ai1,ai2,…,ain). For column vector AiEach data element ai1,ai2,…,ainAre survey data of different dimensions of a certain object (in this case, object i), i is 1,2,311,a12,…,a1nThe survey data of the first target has n data dimensions, such as longitude, latitude, altitude, heading, and speed 5 dimensions, where n is 5, and n is the survey target data dimension as can be seen from the above description.
Step 1.3, carrying out structuralization processing on the detection target indication data sent to the satellite by the ground platform, removing useless data, extracting feature information according to the feature word set, mapping the same concepts in different expression modes into the same concept according to the concept set to form a space vector model, and characterizing the information in a vector form, namely, omega (omega)1,ω2,…,ωt) Wherein the vector data ωjThe system comprises a ground platform, a data acquisition unit and a data acquisition unit, wherein the data acquisition unit is used for acquiring data of different dimensions of a target detected by the ground platform, j is 1,2,3, and t is data dimension degrees, such as 5 dimensions of longitude, latitude, altitude, course and navigational speed, and t is 5;
step 1.4, adjusting vector data omega into a sequence consistent with data information of each column of the matrix A according to the data attribute;
and step 1.5, calculating the Euclidean distance between the result of the on-satellite investigation target and the investigation target sent by the ground station. The structural data of the result of the satellite detection target (the characterization method is shown in step 1.2) is matrix A ═ A (A)1,A2,…,Am) Where m is the number of targets to be investigated and the ith column vector of matrix A is Ai＝(ai1,ai2,…,aij,…,ain) And n is the dimension of the data of the detection target (for example, n is 5 when 5 dimensions of longitude, latitude, altitude, heading and speed exist). Vector A of ith column according to matrix AiSum vector ω ═ ω (ω ═ ω)1,ω2,…,ωn) (vector ω represents the structured data of the targets of investigation sent by the ground platform to the satellite, and its characterization method is described inStep 1.3) calculating the Euclidean distance diThe formula is as follows:
wherein i is 1,2, …, m;
step 1.6, calculating the Euclidean distance d obtained in the step 1.5iSort in ascending order, generate a priority queue, denoted as PriorityQueue (Q)i)，QiData representation of the ith observation target, i is 1,2, …, m is the number of detection targets, and QiMethod of characterization of (1) and content and a in step 1.5iThe same;
step 1.7, after each target generates a formatted message, recording the channel time slot resource occupied by a single target message as l, wherein the specific value is determined by the time slot length occupied by different message types;
step 1.8, the satellite data link load calculates the total time slot resource number distributed to the satellite load according to the real-time downlink channel capacity and records as w;
step 1.9, calculating the number k of targets available for transmission under the current channel condition according to the available resource w and the resource l required by the targets, wherein k is | w/l |;
step 1.10, output priority queue (Q)i) Observable information data of the first k targets in (1).
Further, the target information output in step 2 is specifically as follows:
outputting the observation data of the front k targets (k is the number of targets which can be sent under the condition of a channel) screened out in the step 1 to an on-satellite buffer area for storage, and setting the k observation targets as A respectively1,A2,…,Ai,…,AkWherein the first target observation is represented as A1＝(a11,a12,…,a1n) The ith target observation data is represented as Ai＝(ai1,ai2,…,aij,…,ain) ,., the k-th target observation is denoted as Ak＝(ak1,ak2,…,akj,…,akn)，AiEach of the elements ai1,ai2,…ainAll the data are different dimensional observation data corresponding to a certain target (in this case, target i), and n is a data dimension of the detection target, where n is 5 if 5 dimensions of longitude, latitude, altitude, heading, and speed exist.
Further, the on-satellite information extraction in step 3 is specifically as follows:
according to the design requirement of the data chain formatting message, useful information (such as longitude, latitude, altitude, heading and speed data items) in k (k is the number of targets available for transmission under channel conditions) target observation data is extracted, p items (p is the dimensionality of the useful information, whether the useful information is determined by the design of the data chain message, for example, only information of 3 dimensionalities of longitude, latitude and altitude is useful, and p is 3) are totally obtained, wherein p is<n (n is 5 if n is the total latitude of the target, for example, the target observes 5 latitude, longitude, altitude, heading, and speed), and for target k, the extracted observation information is the observation data a of the kth targetk＝(ak1,…,akj,…,akp) At this time AkAnd characterizing the data of the k target p dimensions.
The invention is described in further detail below with reference to the figures and the embodiments.
Examples
With reference to fig. 3, the method for processing and screening the reconnaissance target by the low-orbit multifunctional satellite of the invention comprises the following steps:
step 1, object screening
And the satellite ground station uploads the attribute information of the target to be detected to the low-orbit satellite in an instruction mode, and the satellite screens a plurality of targets acquired by the load on the satellite based on the analysis result. The method comprises the following steps that detection target characteristic data sent to a low earth orbit satellite by a satellite ground station are packaged in a data chain formatting message mode, and the format adopts a platform self accurate positioning and identification message and a track message of a detection target; after the data chain formatted message is analyzed on the satellite, the targets closely related to the ground station indication targets are searched in all the detection target data collected by the satellite load, and the target data results are sent to a satellite data sending buffer area;
the data screening process is performed in a channel self-adaptive manner based on the real-time channel quality and available bandwidth of the low-earth orbit satellite, and is as shown in fig. 4, specifically as follows:
step 1.1, data collection: classifying the satellite load target data according to load types, and collecting respective data of each load, wherein AIS loads collect AIS data information of ship targets, ADS-B loads collect flight target ADS-B data information, and high-resolution loads collect visible light data;
step 1.2, data characterization: carrying out structuralized characterization processing on information to be transmitted, firstly constructing a forbidden word set, a feature word set and a concept set special for a load, carrying out structuralized processing on single load data, removing useless data according to the forbidden word set, extracting data required for carrying out track association features according to the feature word set, and mapping the same concepts of different expression modes into the same concept according to the concept set; and then, extracting characteristic items of the processed structured data to generate a target data vector library, wherein the target data vector library is expressed as a matrix A, each column of the matrix A is investigation data corresponding to one target, and the investigation data of m targets is provided, namely the matrix A is expressed as (A ═ A1,A2,…,Ai,…,Am) Each column vector Ai＝(ai1,ai2,…,ain). For column vector AiEach data element ai1,ai2,…,ainAre survey data of different dimensions of a certain object (in this case, object i), i is 1,2,311,a12,…,a1nThe detection data of the first target is n data dimensions, such as longitude, latitude, altitude, heading and speed 5 dimensions, where n is 5, and as can be seen from the above description, n is the detection target data dimension;
step 1.3, carrying out structuralization processing on the detection target indication data sent to the satellite by the ground platform, removing useless data, extracting characteristic information according to the characteristic word set, mapping the same concepts of different expression modes into the same concept according to the concept set,forming a space vector model, and characterizing information in a vector form, namely, omega (omega)1,ω2,…,ωt) Wherein the vector data ωjThe system comprises a ground platform, a data acquisition unit and a data acquisition unit, wherein the data acquisition unit is used for acquiring data of different dimensions of a target detected by the ground platform, j is 1,2,3, and t is data dimension degrees, such as 5 dimensions of longitude, latitude, altitude, course and navigational speed, and t is 5;
step 1.4, according to the data attribute, adjusting the vector data omega into a sequence consistent with the data information of each line of the matrix A, such as AiFirst data a ini1The first data ω in the sum ω vector1Together longitude data, second data ai2And ω2Latitude data are also obtained;
and step 1.5, calculating the Euclidean distance between the result of the on-satellite investigation target and the investigation target sent by the ground station. The structural data of the result of the satellite detection target (the characterization method is shown in step 1.2) is matrix A ═ A (A)1,A2,…,Am) Where m is the number of targets to be investigated and the ith column vector of matrix A is Ai＝(ai1,ai2,…,aij,…,ain) And n is the dimension of the data of the detection target (for example, n is 5 when 5 dimensions of longitude, latitude, altitude, heading and speed exist). Vector A of ith column according to matrix AiSum vector ω ═ ω (ω ═ ω)1,ω2,…,ωn) (the vector omega represents the structured data of the reconnaissance target sent by the ground platform to the satellite, and the characterization method is shown in step 1.4) to calculate the Euclidean distance diThe formula is as follows:
wherein i is 1,2, …, m;
step 1.6, calculating the Euclidean distance d obtained in the step 1.5iSort in ascending order, generate a priority queue, denoted as PriorityQueue (Q)i)，QiRepresents the ith observation target, i is 1,2, …, m is the number of detection targets, and QiMethod and apparatus for characterizingAnd A in step 1.5iThe same;
step 1.7, after each target generates a formatted message, recording the channel time slot resource occupied by a single target message as l, wherein the specific value is determined by the time slot lengths of different message types;
step 1.8, the satellite data link load calculates the total time slot resource number distributed to the satellite load according to the real-time downlink channel capacity and records as w;
step 1.9, calculating the number k of targets available for transmission under the current channel condition according to the available resource w and the resource l required by the targets, wherein k is | w/l |;
step 1.10, output priority queue (Q)i) Observable information data of the first k targets in (1).
Step 2, outputting target information
Outputting the observation data of the front k targets (k is the number of targets which can be sent under the condition of a channel) screened out in the step 1 to an on-satellite buffer area for storage, and setting the k observation targets as A respectively1,A2,…,Ai,…,AkWherein the first target observation is represented as A1＝(a11,a12,…,a1n) The ith target observation data is represented as Ai＝(ai1,ai2,…,aij,…,ain) ,., the k-th target observation is denoted as Ak＝(ak1,ak2,…,akj,…,akn)，AiEach of the elements ai1,ai2,…ainAll the observation data are different dimensionality observation data corresponding to a certain target (at this time, the target i), and n is the dimensionality of the detection target data (for example, when 5 dimensionalities of longitude, latitude, altitude, heading and navigational speed exist, n is 5);
step 3, upper information extraction
According to the design requirement of the data chain formatted message, useful information (such as longitude, latitude, altitude, heading and speed data items) in k (k is the target number available for sending under the channel condition) target observation data is extracted, and p items (p is the dimensionality of the useful information, whether the useful information is determined by the design of the data chain message is the exampleIf only information of longitude, latitude and height 3 dimensions is useful, p is 3), wherein p is<n (n is 5 if n is the total latitude of the target, for example, the target observes 5 latitude, longitude, altitude, heading, and speed), and for target k, the extracted observation information is the observation data a of the kth targetk＝(ak1,…,akj,…,akp) At this time AkData characterization for the kth target p dimensions;
step 4, data chain message generation
Packaging the target observation data extracted in the step 3 into a data chain formatted message according to the design requirement of the data chain formatted message;
step 5, information returning
The data chain formatted message is transmitted over the downlink to the satellite earth station.
The system is designed and used in a low-orbit satellite simulation demonstration verification system, and the performance of the low-orbit satellite under the multi-load condition is verified through simulation. The low-earth-orbit satellite carries a special data chain load and various observation loads such as AIS, ADS-B and high altitude, the observation loads can acquire multi-dimensional data of each target in a satellite coverage area, and meanwhile, the satellite has certain on-satellite processing capacity and can process and screen data sent to the satellite by a ground specific target and data in the area acquired by the on-satellite observation loads. The screening and processing method designed by the invention is applied to an onboard satellite load data processor module, the module can extract and analyze data transmitted to a satellite from the ground, and the target observation data meeting the requirements of regulations (appointed by a data chain message processor) is transmitted to a satellite ground station by the method.
Through the embodiment, the processing and screening method of the low-orbit multifunctional satellite for the reconnaissance targets proves that after satellite load acquisition information is subjected to satellite processing and screening, only important observation targets which are the same as or close to the ground platform are sent, the transmission information only comprises key elements, the filtered information is distributed to the ground station for further fusion processing, and the downlink bandwidth utilization rate of the satellite is effectively improved; through targeted target information extraction, the satellite load can quickly provide main information in the same or similar range of an observation target acquired by a ground platform, redundant information is eliminated, the fusion process of a large amount of data in a ground processing center is omitted, important information is enabled to reach the tip of a ground station directly, and the freshness requirement and the accuracy requirement of key information service of the ground station are guaranteed.
Claims (3)
1. A method for processing and screening reconnaissance targets by a low-orbit multifunctional satellite is characterized by comprising the following steps:
step 1, target screening: the satellite ground station uploads the attribute information of the target to be detected to a low-orbit satellite in an instruction mode, and the satellite screens a plurality of targets obtained by the load on the satellite based on the analysis result;
step 2, target information output: outputting the first k target observation data screened out in the step 1 to an on-satellite buffer area for storage;
step 3, extracting satellite information: extracting useful information in k target observation data according to the design requirement of a data chain formatted message, wherein the useful information comprises longitude and latitude, altitude, course and speed data;
and 4, generating a data link message: packaging the target observation data extracted in the step 3 into a data chain formatted message according to the design requirement of the data chain formatted message;
and 5, information returning: transmitting the data link formatted message to the satellite earth station over a downlink;
the target screening in step 1 specifically comprises the following steps:
step 1.1, data collection: classifying the satellite load target data according to load types, and collecting respective data of each load, wherein AIS loads collect AIS data information of ship targets, ADS-B loads collect flight target ADS-B data information, and high-resolution loads collect visible light data;
step 1.2, data characterization: the information to be transmitted is subjected to structural representation processing, firstly, a forbidden word set, a characteristic word set and a concept set special for a load are constructed, single load data are subjected to structural processing, and nothing is removed according to the forbidden word setExtracting data required by flight path correlation characteristics according to the characteristic word set and mapping the same concepts in different expression modes into the same concept according to the concept set by using the data; and then, extracting characteristic items of the processed structured data to generate a target data vector library, wherein the target data vector library is expressed as a matrix A, each column of the matrix A is investigation data corresponding to one target, and the investigation data of m targets is provided, namely the matrix A is expressed as (A ═ A1,A2,…,Ai,…,Am) Each column vector Ai＝(ai1,ai2,…,ain) For the column vector AiWherein each data element ai1,ai2,…,ainThe detection data of different dimensions of the target i are obtained, wherein i is 1,2,3, and m and n are the dimensions of the detection target data;
step 1.3, carrying out structuralization processing on the detection target indication data sent to the satellite by the ground platform, removing useless data, extracting feature information according to the feature word set, mapping the same concepts in different expression modes into the same concept according to the concept set to form a space vector model, and characterizing the information in a vector form, namely, omega (omega)1,ω2,…,ωt) Wherein the vector data ωjRepresenting different dimension data of a target detected by the ground platform, wherein j is 1,2, 3.
Step 1.4, adjusting vector data omega into a sequence consistent with data information of each column of the matrix A according to the data attribute;
step 1.5, calculating the Euclidean distance between the result of the on-satellite detection target and the detection target sent by the ground station, wherein the structural data represented by the result of the on-satellite detection target is a matrix A ═ A (A)1,A2,…,Am) Where m is the number of targets to be investigated and the ith column vector of matrix A is Ai＝(ai1,ai2,…,aij,…,ain) Representing the n-dimensional data of the ith target, wherein n is the data dimension of the investigation target; vector A of ith column according to matrix AiSum vector ω ═ ω (ω ═ ω)1,ω2,…,ωn) Calculating the Euclidean distance diThe formula is as follows:
wherein i is 1,2, …, m;
step 1.6, calculating the Euclidean distance d obtained in the step 1.5iSort in ascending order, generate a priority queue, denoted as PriorityQueue (Q)i)，QiData representation of the ith observation target, i is 1,2, …, m is the number of detection targets, and QiOf (2) and content and AiThe same;
step 1.7, after each target generates a formatted message, recording the channel time slot resource occupied by a single target message as l, wherein the specific value is determined by the time slot length occupied by different message types;
step 1.8, the satellite data link load calculates the total time slot resource number distributed to the satellite load according to the real-time downlink channel capacity and records as w;
step 1.9, calculating the number k of targets available for transmission under the current channel condition according to the available resource w and the resource l required by the targets, wherein k is | w/l |;
step 1.10, output priority queue (Q)i) Observable information data of the first k targets in (1).
2. The method for processing and screening the reconnaissance target by the low-orbit multifunctional satellite according to claim 1, wherein the target information output in the step 2 is specifically as follows:
outputting the first k target observation data screened in the step 1 to an on-satellite buffer area for storage, wherein k is the number of targets which can be sent under the condition of a channel, and the k observation targets are respectively set as A1,A2,…,Ai,…,AkWherein the first target observation is represented as A1＝(a11,a12,…,a1n) The ith target observation data is represented as Ai＝(ai1,ai2,…,aij,…,ain) ,., k-th target observation data tableShown as Ak＝(ak1,ak2,…,akj,…,akn)，AiEach of the elements ai1,ai2,…ainAll are different dimensionality observation data corresponding to the target i.
3. The method for processing and screening reconnaissance targets by the low-orbit multifunctional satellite according to claim 1, wherein the on-board information extraction in the step 3 is as follows:
according to the design requirement of a data chain formatted message, useful information in k target observation data is extracted, k is the number of targets which can be sent under the condition of a channel, the useful information comprises longitude, latitude, altitude, course and speed data, the useful information has p items, and p is the dimension of the useful information, wherein p is the dimension of the useful information<n, n is the dimension of the data of the investigation target, and for the target k, the extracted observation information is the observation data A of the kth targetk＝(ak1,…,akj,…,akp) At this time AkAnd characterizing the data of the k target p dimensions.
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