CN108733363A - Digital satellite load information coding and decoding source code Writing method - Google Patents
Digital satellite load information coding and decoding source code Writing method Download PDFInfo
- Publication number
- CN108733363A CN108733363A CN201810476333.XA CN201810476333A CN108733363A CN 108733363 A CN108733363 A CN 108733363A CN 201810476333 A CN201810476333 A CN 201810476333A CN 108733363 A CN108733363 A CN 108733363A
- Authority
- CN
- China
- Prior art keywords
- decoding
- coding
- encoding
- load information
- algorithm
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radio Relay Systems (AREA)
- Error Detection And Correction (AREA)
Abstract
The present invention provides a kind of digital satellite load information coding and decoding source code Writing methods, including obtain Satellite TT Encoding and Decoding, establish Encoding and Decoding library, and assess Encoding and Decoding, and assessment information is stored in database;Satellite parametric reduction is estimated, or directly acquires satellite parametric reduction;Satellite load information coding and decoding demand is analyzed, coding and decoding demand is formatted conversion, and be formatted description;Encoding and Decoding to meeting satellite parametric reduction is selected and is verified;It is determined to controlling program coding decoded positions on star;Coding and decoding source code in digital satellite simulation program is write.The Encoding and Decoding that the present invention can be directed to control program on star requires accurately be selected and be write, and helps to establish Multi-agent Learning Negotiation architectural framework between star.Improve the simulation efficiency of digital satellite.
Description
Technical field
The present invention relates to spacecraft simulation field, more particularly to a kind of digital satellite load information coding and decoding
Source code Writing method.
Background technology
The ratio for being carried out simulating, verifying in engineering design at present, research and development, test process using digital world is greatly promoted, and is defended
Star object test is of high cost, and the effect of digital satellite is more obvious.Digital Simulation validity depends on being digital satellite and environment
The precision of model needs to reach component-level, environment to reach with true consistent simulation result, the design accuracy of digital satellite
Include the coupling of the electromechanical optomagnetic many factors of heat, it is big that this has resulted in digital spacecraft development amount, and is entirely
The coupled relation of system is complicated, and modification difficulty is high.Therefore it proposes using artificial intelligence program person's technology, number is completed by computer
The intelligent writing of satellite source program.
In order to reduce the bit error rate in the transmission of load information, the load information on star is encoded in transmission process
Decoding process.In different satellites, telemetry system is different, and the probability for error code occur is also different, therefore uses in practice not
Same encoding and decoding algorithm.In Digital Simulation, different digital satellites will also use the encoding and decoding algorithm consistent with real satellite,
With the increase of cluster scale, the workload that algorithm is write is consequently increased.
Therefore, how to provide a kind of digital satellite load information coding and decoding source code Writing method is people in the art
The problem of member's urgent need to resolve.
Invention content
In view of this, the present invention provides a kind of digital satellite load information coding and decoding source code Writing method, this hair
The bright Encoding and Decoding that can be directed to control program on star requires accurately to be selected and write, and it is imitative to improve digital satellite
True efficiency.
In order to achieve the above object, the present invention adopts the following technical scheme that:
A kind of digital satellite load information coding and decoding source code Writing method, the described method comprises the following steps:
Step 1: obtaining Satellite TT Encoding and Decoding, Encoding and Decoding library is established, and calculate the coding and decoding
Method is assessed, and obtains assessment information, and the assessment information is stored in algorithm information database;
Step 2: estimating satellite parametric reduction according to real satellite application environment, pattern, or directly acquire satellite ginseng
Number;Satellite load information coding and decoding demand is analyzed, the coding and decoding demand is formatted conversion, row format of going forward side by side
Change description;
Step 3: the Encoding and Decoding for meeting satellite parametric reduction is selected and is verified;
Step 4: being determined to controlling program coding decoded positions on star;
Step 5: being write to coding and decoding source code in digital satellite simulation program.
Preferably, in above-mentioned digital satellite load information coding and decoding source code Writing method, in the step 1,
The Encoding and Decoding is assessed, calculate evaluation index, including effective packing density η f and maximum it is fault-tolerant
Density η e;ηfThe true form block length of=K/N, K presentation code, ηe=T/N, T expression at most allow in the code length of the N
The error bit number of appearance adds the length of check bit after N presentation codes.
Preferably, right in the step 2 in above-mentioned digital satellite load information coding and decoding source code Writing method
Satellite load information coding and decoding demand is formatted description, and the Green Formula includes directly description and feature description;
Wherein directly description is by the type and parameter of the direct assignment algorithm of user;Feature description utilizes the Encoding and Decoding
Characteristic ginseng value constrains algorithm, and the characteristic parameter includes:Load information coding and decoding requires or load information coding
Decoding algorithm, load information transport protocol parameters;
Wherein, the load information coding and decoding is required to include with the presence or absence of coding requirement, valid data density requirements, most
Big fault-tolerant density requirements;
The load information Encoding and Decoding includes two parts content:Whether type of coding limits, if limitation coding
Parameter;
Whether the load information transport protocol parameters include protocol name, protocol architecture, allow to encode.
Preferably, in above-mentioned digital satellite load information coding and decoding source code Writing method, the step 3 is specific
Including:
When the Green Formula is directly to describe, the Encoding and Decoding that user specifies directly is exported;
When the Green Formula is characterized description, coarse sizing is carried out according to the characteristic parameter first, will be unsatisfactory for
The algorithm that user requires excludes, and recycles the evaluation index to be weighted average, obtains comprehensive evaluation index, selects described comprehensive
Close the highest Encoding and Decoding of evaluation of estimate in evaluation index;
When the Green Formula includes directly description and feature description simultaneously, to the given algorithm of the directly description
It is evaluated, judges whether the constraint for meeting feature description, the Encoding and Decoding is exported if meeting, if be unsatisfactory for
It then prompts two input requirements of user not to be inconsistent, user is asked to select one of them described Green Formula as reference.
Preferably, in above-mentioned digital satellite load information coding and decoding source code Writing method, the step 4 is specific
Including,
According to the load information transport protocol parameters, agreement last layer is found;
Inquire whether the type of coding encodes packet header in the algorithm information database, if so, first group
It is encoded after packet, packet is organized afterwards if it is not, then first encoding.
Preferably, in above-mentioned digital satellite load information coding and decoding source code Writing method, the step 5 is specific
To call the selected Encoding and Decoding from the Encoding and Decoding library, and be inserted into the coding and decoding position
It sets.
It can be seen via above technical scheme that compared with prior art, the present disclosure provides a kind of digital satellite loads
Lotus information coding and decoding source code Writing method, the Encoding and Decoding that can be directed to control program on star require to carry out accurately
It selects and writes, meet requirement of the different inter-satellite difference telemetry systems to coding and decoding, help to establish multiple agent between star
Negotiate architectural framework.The simulation efficiency for improving digital satellite shortens the lead time of digital satellite, alleviates digital satellite and opens
The workload of originator.
Specific implementation mode
The following is a clear and complete description of the technical scheme in the embodiments of the invention, it is clear that described embodiment
Only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, the common skill in this field
The every other embodiment that art personnel are obtained without making creative work belongs to the model that the present invention protects
It encloses.
Digital satellite load information coding and decoding source code Writing method of the present invention specifically includes following steps:
S101 is embodied as obtaining Encoding and Decoding, these algorithms is assessed in a case study on implementation,
Assessment result is stored in database, Encoding and Decoding is deposited into document form in algorithms library.
According to the usually used code encoding/decoding mode of real satellite, Encoding and Decoding library is initially set up, which can be with
It is continuously replenished in use, conventional channel coding algorithm such as linear block codes, convolution is included in Encoding and Decoding library
Code, concatenated code, Turbo code and LDPC code, wherein block code are divided into as Hamming code, Gray code, cyclic code (BCH code, RS codes, CRC
Cyclic redundancy check code) etc..Different Encoding and Decodings is constituted again for the different configuration parameter of these algorithms, by these
Encoding and Decoding is assessed, and two evaluation indexes are calculated:Valid data density ηfWith maximum fault-tolerant density ηe。ηf=K/N, K
The true form block length of presentation code adds the length of check bit after N presentation codes;ηe=T/N, T indicate that the coding in the N is grown
At most allow the error bit number occurred in degree.Algorithm evaluation is discussed in detail by taking the assessment of RS encryption algorithms as an example and was put in storage
Journey.
There are one features for RS codings:Algorithm structure is consistent under different algorithm parameters, it is only necessary to change several parameters i.e.
It can.There are two crucial characterising parameter N and K for RS codings, wherein the length of check bit, K presentation codes are added after N presentation codes
True form block length, T indicate in the code length of the N at most allow occur error bit number, T=(N-K)/2.
By taking one RS of algorithm (255,223) and two RS of algorithm (255,239) codings as an example, therefore, in algorithm one, N1=255,
K1=223, T1=(N1-K1)/2=16;In algorithm two, N=255, K=239, T=(N-K)/2=8.
Valid data density η is calculated belowfWith maximum fault-tolerant density ηe.Valid data density is that the true form of coding accounts for overall length
The proportion of degree, i.e. K/N.Maximum fault-tolerant density is the proportion at most allowing the error bit digit occurred to account for total length, i.e. T/N.It calculates
In method one, valid data density ηf1=K1/N1=87.45%, maximum fault-tolerant density ηe1=T1/N1=6.27%.In algorithm two,
Valid data density ηf2=K2/N2=93.73%, maximum fault-tolerant density ηe2=T2/N2=3.14%.
The algorithm information is stored in respectively in three tables in Encoding and Decoding library:Algorithm information table, is calculated algorithm parameter table
Method performance table.Wherein, algorithm information table includes algorithm ID, algorithm title, algorithm types and path where algorithm source program;Due to
Its algorithm parameter of different algorithm descriptions is different, therefore is stored in different algorithm parameter tables, for RS algorithms, database
In have a RS algorithm parameter tables, inside includes algorithm ID, code length N and true form length K;Algorithm performance table includes algorithm ID, has
Packing density and maximum fault-tolerant density are imitated, as shown in the table.
1 algorithm information table of table
ID | Title | Type | Algorithm path |
1 | RS255_223 | RS | $SourcePath$\Encode\RS |
2 | RS255_239 | RS | $SourcePath$\Encode\RS |
… | … | … | … |
2 RS algorithm parameter tables of table
ID | Code length N | True form length K |
1 | 255 | 223 |
2 | 255 | 239 |
… | … | … |
3 algorithm performance table of table
ID | Valid data density | Maximum fault-tolerant density |
1 | 0.8745 | 0.0627 |
2 | 0.9373 | 0.0314 |
… | … | … |
S102 is embodied as being formatted satellite load information coding and decoding demand in a case study on implementation
Description;Green Formula includes two ways, directly description and feature description.Wherein directly description is calculated by user is directly specified
The type and parameter of method;Feature description is the characteristic parameter that user provides that algorithm should reach, that is, which type of effect is realized, then
By the data of Green Formula be saved in XML (eXtensible Markup Language, extensible markup language) files with
In Access databases.
Description is formatted to satellite load information coding and decoding demand, including:Load information coding and decoding require or
Load information Encoding and Decoding, load information transport protocol parameters.
Load information coding and decoding requires to include fault-tolerant close with the presence or absence of coding requirement, valid data density requirements, maximum
Degree requires.
Load information Encoding and Decoding includes two parts content:Whether type of coding limitation, type of coding, whether encode
Parameter limitation, coding parameter.
Whether load information transport protocol parameters include protocol name, protocol architecture, allow to encode.
In present case, if there are coding requirement, whether type of coding limitation and whether coding parameter limitation description,
It is indicated with " Y ", " N " in XML node.Type of coding is algorithm types, with " RS ", " Convolution " etc. in present case
Title indicates, consistent with the content in the type column in database algorithms information table.It include algorithm parameter under coding parameter node
The Parameter nodes of node, algorithms of different are inconsistent, but the parameter type in corresponding parameter list is consistent.
In present case, protocol name is numbered with ID and title indicates, protocol architecture is stored in the database by layer, is utilized
ID is indexed.Coding whether is allowed to be determined whether to generate the flag of code.
Such as guess that it uses RS encryption algorithms for certain real satellite, it is not known that design parameter, but according to its task field
Scape analyzes its performance and meets valid data density more than 80%, maximum fault-tolerant density more than 5%.Using CCSDS
(Consultative Committee for Space Data Systems, international space data system Advisory Board)
AOS (Advanced Orbiting Systems, Advanced Orbiting Systems) agreement, agreement ID number are 2.Protocol architecture is with reference to CCSDS
Standard.Allow to encode.
Above- mentioned information being expressed as follows in XML file:
<IsEncode>Y</IsEncode>
<Encode>
<IsTypeConstraint>Y</IsTypeConstraint>
<Type>RS</Type>
<IsParameterConstraint>N</IsParameterConstraint>
<Parameter>
<N>0</N>
<K>0</K>
</Parameter>
<IsCapabilityConstraint>Y</IsCapabilityConstraint>
<EffectiveDensity>0.8</EffectiveDensity>
<ErrorDensity>0.05</ErrorDensity>
<ProtocolID>2</ProtocolID>
<ProtocolName>AOS</ProtocolName>
</Encode>
It is as follows for the hierarchical relationship of agreement record in database
S103 is embodied as Encoding and Decoding selection and verification in a case study on implementation.It will directly describe to carry out
The division of a thinner step, is divided into algorithm types and algorithm parameter, only when user's given algorithm type and when parameter simultaneously
Time just thinks that user is made that direct description, otherwise handles it according to feature description, is considered as a constraints.
For given directly description, feature description, the Encoding and Decoding directly given using user are not given.
For both giving directly description or to feature description, the coding and decoding that user gives is inquired in the database and is calculated
Method obtains its characteristic value, sees whether it meets feature description.It selects, is unsatisfactory for if meeting, prompt user's input wrong,
It is determined to complete subsequent reasoning according to the direct description or given feature description of regulation by user.
It is given directly to describe for only giving feature description, it regard feature description as constraints, elder generation is in algorithms library
In find the available algorithm collection for meeting feature description, then available algorithm concentrate determine an Encoding and Decoding.Available
Final algorithm is selected in set of algorithms, simple strategy may be used, such as select the first algorithm, selection valid data density maximum
Algorithm etc., the modes such as decision tree, cluster, reasoning, preferential selection can also be used.
For example, in the case that S102 is provided, user is only defined algorithm types, and does not provide algorithm parameter,
Therefore, it is not considered as that user gives direct description, the RS algorithms that user is limited are constrained as one, i.e., are searched in RS algorithms
Meet the set of algorithms that valid data density is more than 5% condition more than 80%, maximum fault-tolerant density.
Specific implementation can be completed by query sentence of database, and all algorithm types that meet of inquiry are RS encryption algorithms, have
Imitate packing density>80%, maximum fault-tolerant density>5% algorithm, you can obtain available algorithm collection.To put it more simply, choosing in present case
The first algorithm is selected, is numbered according to algorithm, selection result is RS (255,223) algorithm.
S104 is embodied as determining the transport protocol that Encoding and Decoding warehouse compartment is set, and is selected by user first, find
Last layer of agreement, then whether inquiry the type encryption algorithm encodes packet header in the database, finally determines its volume
Code decoded positions be transport protocol last layer be packaged before or be packaged after.Encoding and Decoding warehouse compartment set usually transport layer most
Later layer.Coding and decoding position can be analyzed by protocol information.Only difference is that some encryption algorithms are only compiled
Code packet content, does not encode packet header;And first complete group of packet of some Encoding and Decodings, then encode packet header and packet content simultaneously.One
In a case study on implementation,
For example, in the case that step S102 is provided.It is first 2 according to transport protocol number, inquires in database and compile
Number for 2 transport protocol be CCSDS AOS agreements.And then the layer of transport protocol is inquired, obtain most 7 layers of AOS, the 7th
Layer is CADU layers, it is thus determined that coding function point of addition is in CADU group packet functions.Encryption algorithm type list is further inquired,
The coding that can obtain RS algorithms does not include packet header, i.e., first encodes and organize packet afterwards, therefore coding function should be added to a group packet code and open
Before beginning.
S105 is embodied as source code writing process in a case study on implementation, is called from Encoding and Decoding library
Selected Encoding and Decoding, and it is inserted into coding and decoding position.
Further include that algorithmic code keyword is replaced, algorithmic code copies, algorithm macrodefinition when being inserted into coding and decoding position
Write three parts.Algorithm keyword is replaced primarily to increase algorithm practicability, some keywords is replaced, again
It takes out and needs these keywords according to actual conditions replacement during algorithm is write, include aircraft in the implementation case
Title, device name, unit type.Algorithm copy refers to copying to the algorithm for having replaced keyword in step S104 to export
Algorithm point of addition.The writing of algorithm macrodefinition refers to since some algorithm structure has versatility, and the parameter of algorithm is different, because
This is realized in the form of carrying out macrodefinition to parameter, it is therefore desirable in the related macrodefinition ginseng of file header addition where algorithm addition
Number.
For example, in the case that step S102 is provided.It completes characteristic parameter first to replace, it is assumed that aircraft is entitled
" Craft1 ", device type entitled " CMU ", unit type are " CMU01 ".Using where the RS algorithms mentioned in step S102
Algorithm file RSAlgorithm.C files are found in position, and " the $ $ $ $ " in file is substituted for " Craft1 ", will be in file
"@@@@" is substituted for " CMU ", by the " &&&& in file " it is substituted for " CMU01 ".
Then algorithm copy is completed, by the code fragment replication replaced to the group packet code of CADU group packet functions
Before, after the unpacking code that the decoding code fragment replication replaced to CADU is unpacked to function.
Macrodefinition writing is finally completed, includes two core parameters to the expression algorithm of RS algorithms according in database
N and K carries out macrodefinition to the two parameters.Macrodefinition code is as follows:
#define RS_N 255
#define RS_K 223
The file header of file where this two line code is copied to CADU group packets function, that is, complete load information coding and decoding
The writing of algorithm bank code.
Each embodiment is described by the way of progressive in this specification, the highlights of each of the examples are with other
The difference of embodiment, just to refer each other for identical similar portion between each embodiment.For device disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so description is fairly simple, related place is said referring to method part
It is bright.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest range caused.
Claims (6)
1. a kind of digital satellite load information coding and decoding source code Writing method, which is characterized in that the method includes following
Step:
Step 1: obtaining Satellite TT Encoding and Decoding, establish Encoding and Decoding library, and to the Encoding and Decoding into
Row assessment obtains assessment information, and the assessment information is stored in algorithm information database;
Step 2: according to real satellite application environment, pattern, satellite parametric reduction is estimated, or directly acquires satellite parametric reduction;Point
Satellite load information coding and decoding demand is precipitated, the coding and decoding demand is formatted conversion, and be formatted and retouch
It states;
Step 3: the Encoding and Decoding for meeting satellite parametric reduction is selected and is verified;
Step 4: being determined to controlling program coding decoded positions on star;
Step 5: being write to coding and decoding source code in digital satellite simulation program.
2. digital satellite load information coding and decoding source code Writing method according to claim 1, which is characterized in that institute
It states in step 1,
The Encoding and Decoding is assessed, evaluation index, including effective packing density η are calculatedfWith maximum fault-tolerant density
ηe;ηfThe true form block length of=K/N, K presentation code, ηe=T/N, T expression at most allow to occur in the code length of the N
Error bit number, the length of check bit is added after N presentation codes.
3. digital satellite load information coding and decoding source code Writing method according to claim 1, which is characterized in that institute
It states in step 2 and description is formatted to satellite load information coding and decoding demand, the Green Formula includes directly describing
And feature description;Wherein directly description is by the type and parameter of the direct assignment algorithm of user;Feature description is to utilize the volume
The characteristic ginseng value of code decoding algorithm constrains algorithm, and the characteristic parameter includes:Load information coding and decoding require or
Load information Encoding and Decoding, load information transport protocol parameters;
Wherein, the load information coding and decoding is required to include with the presence or absence of coding requirement, valid data density requirements, maximum appearance
Dislocation density requirement;
The load information Encoding and Decoding includes two parts content:Whether type of coding limits, if limitation coding parameter;
Whether the load information transport protocol parameters include protocol name, protocol architecture, allow to encode.
4. digital satellite load information coding and decoding source code Writing method according to claim 3, which is characterized in that institute
Step 3 is stated to specifically include:
When the Green Formula is directly to describe, the Encoding and Decoding that user specifies directly is exported;
When the Green Formula is characterized description, coarse sizing is carried out according to the characteristic parameter first, user will be unsatisfactory for
It is required that algorithm exclude, recycle the evaluation index to be weighted average, obtain comprehensive evaluation index, the synthesis is selected to comment
The highest Encoding and Decoding of evaluation of estimate in valence index;
When the Green Formula includes directly description and feature description simultaneously, the algorithm progress given to the directly description
Evaluation, judges whether the constraint for meeting feature description, exports the Encoding and Decoding if meeting, is carried if being unsatisfactory for
Show that two input requirements of user are not inconsistent, user is asked to select one of them described Green Formula as reference.
5. digital satellite load information coding and decoding source code Writing method according to claim 3, which is characterized in that institute
Step 4 is stated to specifically include,
According to the load information transport protocol parameters, agreement last layer is found;
Inquire whether the type of coding encodes packet header in the algorithm information database, if so, first after group packet
Coding, packet is organized if it is not, then first encoding afterwards.
6. digital satellite load information coding and decoding source code Writing method according to claim 1, which is characterized in that institute
Step 5 is stated specifically, calling the selected Encoding and Decoding from the Encoding and Decoding library, and be inserted into institute
State coding and decoding position.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810476333.XA CN108733363B (en) | 2018-05-17 | 2018-05-17 | Method for writing digital satellite load information coding decoding source code |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810476333.XA CN108733363B (en) | 2018-05-17 | 2018-05-17 | Method for writing digital satellite load information coding decoding source code |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108733363A true CN108733363A (en) | 2018-11-02 |
CN108733363B CN108733363B (en) | 2020-11-10 |
Family
ID=63938614
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810476333.XA Active CN108733363B (en) | 2018-05-17 | 2018-05-17 | Method for writing digital satellite load information coding decoding source code |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108733363B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112052117A (en) * | 2020-06-28 | 2020-12-08 | 南京理工大学 | Satellite-borne system software protection method based on redundant API (application program interface) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101345532A (en) * | 2008-08-15 | 2009-01-14 | 苏州大学 | Decoding method for LDPC channel code |
CN105122971B (en) * | 2006-09-01 | 2011-04-27 | 上海卫星工程研究所 | Satellite TT analogue means and observing and controlling analogy method thereof |
US20130300752A1 (en) * | 2012-05-10 | 2013-11-14 | Nvidia Corporation | System and method for compiler support for kernel launches in device code |
-
2018
- 2018-05-17 CN CN201810476333.XA patent/CN108733363B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105122971B (en) * | 2006-09-01 | 2011-04-27 | 上海卫星工程研究所 | Satellite TT analogue means and observing and controlling analogy method thereof |
CN101345532A (en) * | 2008-08-15 | 2009-01-14 | 苏州大学 | Decoding method for LDPC channel code |
US20130300752A1 (en) * | 2012-05-10 | 2013-11-14 | Nvidia Corporation | System and method for compiler support for kernel launches in device code |
Non-Patent Citations (2)
Title |
---|
李洪珏等: "卫星故障诊断系统智能研制技术研究", 《上海航天》 * |
陈功富等: "《卫星数字通信网络技术 上》", 30 September 2001 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112052117A (en) * | 2020-06-28 | 2020-12-08 | 南京理工大学 | Satellite-borne system software protection method based on redundant API (application program interface) |
CN112052117B (en) * | 2020-06-28 | 2023-07-25 | 南京理工大学 | Satellite-borne system software protection method based on redundant API interface |
Also Published As
Publication number | Publication date |
---|---|
CN108733363B (en) | 2020-11-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10031806B2 (en) | Efficient repair of erasure coded data based on coefficient matrix decomposition | |
CN107092656B (en) | A kind of tree data processing method and system | |
US8996453B2 (en) | Distribution of data in a lattice-based database via placeholder nodes | |
US8909678B2 (en) | Conditioned distribution of data in a lattice-based database using spreading rules | |
CN113329031A (en) | Method and device for generating state tree of block | |
CN107330589B (en) | Quantitative evaluation method and system for satellite network coordination risk | |
CN104662535A (en) | Mapping entities in data models | |
CN109799948A (en) | A kind of date storage method and device | |
CN102084394A (en) | Optimizing operations of a hydrogen pipeline system | |
CN109460219A (en) | The method of rapid serial Interface Control File | |
CN106951340B (en) | A kind of RS correcting and eleting codes data layout method and system preferential based on locality | |
CN111782798B (en) | Digest generation method, digest generation device, digest generation equipment and project management method | |
CN107016071A (en) | A kind of method and system of utilization simple path characteristic optimization tree data | |
CN109194444A (en) | A kind of balanced binary tree restorative procedure based on network topology | |
CN109062565A (en) | Digital satellite AOS agreement telemetering source code artificial intelligence Writing method | |
CN104391759A (en) | Data archiving method for load sensing in erasure code storage | |
Weidong et al. | Tree-structured parallel regeneration for multiple data losses in distributed storage systems based on erasure codes | |
CN104484337B (en) | The storage method of XML document | |
CN108733363A (en) | Digital satellite load information coding and decoding source code Writing method | |
CN113360578A (en) | Method, system and storage medium for hierarchically cutting data in blockchain transaction | |
Prasad et al. | A tool for mapping between two ontologies using explicit information | |
CN109213473B (en) | Artificial intelligence generation method for daily operation process of satellite | |
CN111159424B (en) | Method and device for labeling knowledge graph entity, storage medium and electronic equipment | |
CN116186640B (en) | Iterative optimization method and system for enterprise data management | |
CN101131695B (en) | Document file library system and its implementing method |
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 |