CN107330269A - More than 4 kinds even information minimum range selection methods - Google Patents
More than 4 kinds even information minimum range selection methods Download PDFInfo
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- CN107330269A CN107330269A CN201710515111.XA CN201710515111A CN107330269A CN 107330269 A CN107330269 A CN 107330269A CN 201710515111 A CN201710515111 A CN 201710515111A CN 107330269 A CN107330269 A CN 107330269A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/251—Fusion techniques of input or preprocessed data
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
- G16Z99/00—Subject matter not provided for in other main groups of this subclass
Abstract
The present invention relates to Multi-source Information Fusion selection technique field, specifically more than 4 kinds even information minimum range selection methods.Time series including obtaining metrical information;Set up more than 4 kinds even information minimum ranges and select excellent mathematical modeling;Calculate and determine the steps such as optimal information value.Using either more than 3 kinds multi-source informations of odd number kind or even number kind of the invention, perseverance can choose unique optimal information.Significant role has been played in spacecraft multi-source information process field.
Description
Technical field
It is specifically to have 4 kinds to certain target synchronization the present invention relates to a kind of Multi-source Information Fusion selection technique field
The measured value of above even number irrelevant information two-by-two(I.e. different multi-source information measured values are all variant), how which to select believe
Cease the method as the target optimal value of metrical information this moment.
Background technology
Space travel needs high reliability, therefore some important flight posture information(Time series)It is general to be passed using more
Sensor measurement is obtained(Multi-source information), each sensor has certain reliability, but bob occurs in the unavoidable a certain moment
Outlier.
If there is the measured value of more than 3 kinds irrelevant informations two-by-two to certain target synchronization, any information of selection
As the optimal measured value of target metrical information this moment, following method choice can be used:
Assuming that the parameter such as measurement space target location, speed and characteristic, when information source is than or equal to 3 kinds, if its kind of number isk, parameter sampling moment point ism, the basic thought of system of selection is as follows:Using range deviation as criterion.During judgement, certain is selected
Plant information to be selectediA certain sampling instantjThe value of remaining corresponding informance of value and same sampling instant make difference two-by-two, and to making
The result of difference is summed to obtain range deviationΔ Lij, all information is done once by turns, range deviation reckling information to be selectediFor certain
The value of one sampling instant j optimal information parameters.Δ Lij Calculation formula it is as follows:
i=1,2,…k;j=1,2,…m.
In formula:Δ Lij For information to be selectediSampling instantjValue sampling instant corresponding with other information parameterjValue away from
From deviation;x ij For information to be selectediSampling instantjValue.
Multi-source information selection is carried out as stated above, and when information source number is odd number, constant to choose measured value placed in the middle
That information.But for more than 4 kinds even number information points, there are two kinds of information points to other information point with regard to perseverance using the above method
Distance and be equal, and be minimum value, now the above method just can not judge to select optimal information.
The content of the invention
This reality invention purpose be to provide it is a kind of to multi-source spacecraft flight guide optimal information chosen simply have
The method of effect.
The technical scheme used to achieve these goals is more than 4 kinds even information minimum range selection methods, bag
Include following steps:
1)Some sampling instant information in the time series of metrical information, time series is obtained to usex ij Represent, subscript i is represented
Corresponding to the sensor of i-th of acquisition metrical information, subscript j represents to correspond to j-th of sampling instant.Metrical information includes flight
Position, speed, acceleration and posture.The target that wherein metrical information is directed to is space, the moving target on marine or land.
2)Its range deviation is calculated to each sampling instant information in the time series of acquisitionΔ Lij , its calculation formula
It is as follows:
, i=1,2 ... k, j=1,2 ... m;
In formula:Δ Lij For metrical information of the sensor to be selected to a target propertyiSampling instantjValue with other sensors to same
The metrical information correspondence sampling instant of one target propertyjValue range deviation;x ij For each sampling instant in time series
Information(Information to be selectediSampling instantjValue);Represent other k-1 value of information in addition to the information that i is designated as under some is specific;k
Represent the number of the sensor to participating in same target signature measurement;M represents intelligence sample moment sequence number.
3)Choose withΔ Lij Minimum value is correspondingx ij It is used as the optimal information value of detection.
It is an advantage of the invention that:Either more than 3 kinds multi-source informations of odd number kind or even number kind, perseverance can choose it is unique most
Excellent information(The point of measured value size information source placed in the middle can be chosen).The method of the present invention extremely has in Multi-source Information Fusion selection
Effect, the selection that optimal information is guided to multi-source spacecraft flight is simply applicable, and is played in spacecraft multi-source information process field
Significant role.
Brief description of the drawings
Fig. 1 is system integration schematic diagram;
Fig. 2 is more than 4 kinds even information minimum range selection method determination process;
Fig. 3 is 4 kinds of information measurement Distribution value schematic diagrames.
Embodiment
This method is related to the selection determination of spacecraft multi-source information optimum fusion, can use space flight, navigation etc. and require highly reliable
Property field, to improve spacecraft flight guidance precision and obtain reliable spacecraft flight Situation Awareness.The multi-source information time
Sequence can refer to a certain position and attitude parameter of multiple gyro to measure of spacecraft requirement high reliability etc., for convenience of description, system
One is stated with multi-source information time series.Specific method of the present invention is as follows:
The flight position of the multiple lasergyro acquisition carried by a variety of measuring apparatus or by spacecraft, speed, acceleration
The metrical information time series of the target properties such as degree, posture, target can be the moving targets such as space, sea, land.Such as space flight
The axial acceleration metrical information time series that 4 lasergyro that device is carried are obtained:x Ij, I=1,2,3,4, j=1,2 ... m;
Subscript i represents that corresponding to i-th of lasergyro subscript j represents to correspond to j-th of sampling instant.The purpose of the selection method
It is exactly the axial acceleration metrical information to 4 lasergyro of any j-th of sampling instant:Remove the open country of bob
Value, it is optimal to choose measured value information placed in the middle relatively(Or it is most rationally credible)Information, excellent one is selected to any sampling instant
It is secondary.To ensure the flight posture for obtaining optimal spacecraft.
More than 4 kinds even information minimum ranges are set up on the basis of above time series and excellent mathematical modeling is selected:
When information source is than or equal to 3 kinds, if its kind of number is k, parameter sampling moment point ism, the basic thought of system of selection
It is as follows:Using range deviation as criterion.During judgement, certain information to be selected is selectediA certain sampling instantjValue and same sampling
The value of remaining corresponding informance at moment makees difference two-by-two, and obtains range deviation to the quadratic sum evolution for making differenceΔLij, to all
Information is done once by turns, and range deviation sum reckling is the optimal value that certain information i to be selected is a certain sampling instant j.Fusion
During processing such as the time does not align, then in pretreatment interpolation alignment.ΔLijCalculation formula it is as follows:
i=1,2,…k;j=1,2,…m.
In formula:Δ Lij For metrical information of the sensor to be selected to a target propertyiSampling instantjValue with other sensors to same
The metrical information correspondence sampling instant of one target propertyjValue range deviation;x Ij, I=1,2,3,4, j=1,2 ... m;To be to be selected
InformationiSampling instantjValue;Represent other k-1 value of information in addition to the information that i is designated as under some is specific;K is represented to participating in
The number of the instrument of same target signature measurement;M represents intelligence sample moment sequence number;
Fig. 3, gives by the multi-source information system of selection in background technology, constant to choose residence when information source number is odd number
In that information, to odd number kind information source, the multi-source information system of selection is rational(Value sequence letter placed in the middle can be chosen
The point in breath source), but for more than 4 kinds even information points, the multi-source information system of selection according to background technology judges that perseverance has two kinds
Information point is to other information point distance and is equal, and is minimum value(Value sequence information source perseverance placed in the middle has two kinds), institute
Optimal selection can not be made with the now multi-source information system of selection to judge, method of the invention either odd number kind or even number
3 kinds of information above are planted, perseverance can choose unique optimal information(Measured value size information source placed in the middle can be chosen).
Even number kind information point shown in Fig. 3, illustrates by taking simplest four kinds of even informations as an example, by background technology here:
The distance of former three kinds of information above selection methods, information two and information three and other information has same value 11, that is, selects information two
With information three, similarly there is this phenomenon in the other times point of four kinds of even informations.For the even number multi-source more than 4 kinds
Information equally has above rule.
But by the application method, the distance value of information two and information three and other information is respectively 、,
Then there is optimal information three.
This method can similarly choose unique optimal value to the measured value of more than three kinds odd numbers irrelevant information two-by-two.
This method can choose unique optimal value, in aerospace information to the measured value of more than three kinds irrelevant informations two-by-two
Fusion select it is excellent in played significant role, national economy require high accuracy and high reliability vast multisensor fields of measurement
Information fusion in have versatility, can use for reference.
Claims (3)
- More than 1.4 kinds even information minimum range selection methods, comprise the following steps:1)Some sampling instant information in the time series of metrical information, time series is obtained to usex ij Represent, subscript i is represented pair The sensor of metrical information should be obtained in i-th, subscript j represents to correspond to j-th of sampling instant;2)Its range deviation is calculated to each sampling instant information in the time series of acquisitionΔ Lij , its calculation formula is such as Under:, i=1,2 ... k, j=1,2 ... m;In formula:Δ Lij For metrical information of the sensor to be selected to a target propertyiSampling instantjValue with other sensors to same The metrical information correspondence sampling instant of one target propertyjValue range deviation;x ij For each sampling instant in time series Information;Represent other k-1 value of information in addition to the information that i is designated as under some is specific;K represents to survey to participating in same target property The number of the sensor of amount;M represents intelligence sample moment sequence number;3)Choose withΔ Lij Minimum value is correspondingx ij It is used as the optimal information value of detection.
- 2. more than 4 kinds even information minimum range selection methods according to claim 1, it is characterised in that:The measurement letter Breath includes flight position, speed, acceleration and posture.
- 3. more than 4 kinds even information minimum range selection methods according to claim 2, it is characterised in that:The measurement letter It is space, the moving target on marine or land to cease the target being directed to.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101944142A (en) * | 2010-08-24 | 2011-01-12 | 中国人民解放军63796部队 | Method for determining optimal fusion of multi-source information of spacecraft flight parameters |
CN103116688A (en) * | 2012-12-13 | 2013-05-22 | 中国航空无线电电子研究所 | Multi-source abnormal sensor target track correlation method for airborne avionic system |
CN104215977A (en) * | 2014-09-09 | 2014-12-17 | 泰斗微电子科技有限公司 | Precision assessment method and precision assessment system based on satellite navigation system |
US9008391B1 (en) * | 2013-10-22 | 2015-04-14 | Eyenuk, Inc. | Systems and methods for processing retinal images for screening of diseases or abnormalities |
CN105303052A (en) * | 2015-11-11 | 2016-02-03 | 中国人民解放军国防科学技术大学 | Low-speed approaching spacecraft track safety assessment method |
-
2017
- 2017-06-29 CN CN201710515111.XA patent/CN107330269A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101944142A (en) * | 2010-08-24 | 2011-01-12 | 中国人民解放军63796部队 | Method for determining optimal fusion of multi-source information of spacecraft flight parameters |
CN103116688A (en) * | 2012-12-13 | 2013-05-22 | 中国航空无线电电子研究所 | Multi-source abnormal sensor target track correlation method for airborne avionic system |
US9008391B1 (en) * | 2013-10-22 | 2015-04-14 | Eyenuk, Inc. | Systems and methods for processing retinal images for screening of diseases or abnormalities |
CN104215977A (en) * | 2014-09-09 | 2014-12-17 | 泰斗微电子科技有限公司 | Precision assessment method and precision assessment system based on satellite navigation system |
CN105303052A (en) * | 2015-11-11 | 2016-02-03 | 中国人民解放军国防科学技术大学 | Low-speed approaching spacecraft track safety assessment method |
Non-Patent Citations (1)
Title |
---|
李志华: "《非数值属性数据异常检测算法》", 31 December 2015, 江西人民出版社 * |
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Application publication date: 20171107 |