CN106779082A - A kind of integrity risk probability distribution method of support satellite navigation reliability of positioning demand - Google Patents

A kind of integrity risk probability distribution method of support satellite navigation reliability of positioning demand Download PDF

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Publication number
CN106779082A
CN106779082A CN201611048045.1A CN201611048045A CN106779082A CN 106779082 A CN106779082 A CN 106779082A CN 201611048045 A CN201611048045 A CN 201611048045A CN 106779082 A CN106779082 A CN 106779082A
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China
Prior art keywords
integrity risk
integrity
satellite navigation
navigation
model
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CN201611048045.1A
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Chinese (zh)
Inventor
李亮
杨福鑫
赵琳
陈进
郝勇
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Harbin Engineering University
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Harbin Engineering University
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Priority to CN201611048045.1A priority Critical patent/CN106779082A/en
Publication of CN106779082A publication Critical patent/CN106779082A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computing arrangements based on specific mathematical models
    • G06N7/01Probabilistic graphical models, e.g. probabilistic networks

Abstract

The invention belongs to satellite navigation positioning technical field, and in particular to a kind of integrity risk probability distribution method of support satellite navigation reliability of positioning demand.The present invention includes:The navigation performance according to needed for different navigation application, for different application in many integrity risk sources set up fault tree models;According to bayesian criterion, the optimal distributing scheme of integrity risk probability is completed;Single order Markov switching model is set up to each main integrity risk source, and the primary condition and prior information of the model are set according to specific integrity risk source, finally determine Pmd;Statistical property that specific integrity risk source in for different application influences on position error etc..The present invention proposes the modified sigma expansion algorithms based on coefficient of expansion collection, and determines the coefficient of expansion, and the perfect error for needed for integrity monitoring is assumed to provide theoretical foundation.Final design goes out the level of protection of minimum, to meet the requirement that satellite navigation positions high reliability.

Description

A kind of integrity risk probability for supporting satellite navigation reliability of positioning demand is distributed Method
Technical field
The invention belongs to satellite navigation positioning technical field, and in particular to one kind support satellite navigation reliability of positioning demand Integrity risk probability distribution method.
Background technology
With GPS (Global Navigation Satellite System, GNSS) and its enhancing The all-round construction of system, the precision of navigation system can meet the demand of most users.Comparatively speaking, in civil aviation And during the association area such as life security (Safety of Life, SoL), the safety to user plays the intact of important decisive action Sex chromosome mosaicism has turned into people's research focus of attention.
Influence satellite navigation positioning performance integrity risk source it is numerous, and correspondence integrity risk source distributed it is intact Property risk probability directly determine its availability level, therefore the risk probability distribution of many integrity risk sources turns into system health Property monitoring first have to solve problem.The method of tradition equalization distribution have ignored different integrity risk sources to position error tribute The primary and secondary problem offered, causes system overall availability low SI.Improving the method for area monitoring efficiency will also cause the system can With " wooden pail effect " of property:The integrity risk probability in a certain particular risk source is directed to by adjustment to improve its availability water It is flat, cause the availability level reduction of other integrity risk sources of system.It is therefore desirable to according to system totality integrity risk It is required that, for the purpose of optimum utility level, complete integrity risk probability distribution system is set up, realize to many integrity wind The optimal overall monitoring in dangerous source, to support the demand of satellite navigation reliability of positioning.
The content of the invention
The present invention positions application demand with prior art as theoretical foundation for different satellite navigations, there is provided one kind support The integrity risk probability distribution method of satellite navigation reliability of positioning demand.
The object of the present invention is achieved like this:
(1) navigation performance according to needed for different navigation application, for different application in many integrity risk sources set up Fault tree models;
(2) according to bayesian criterion, the optimal distributing scheme of integrity risk probability is completed;
(3) single order Markov switching model is set up to each main integrity risk source, and according to specific integrity Risk source sets the primary condition and prior information of the model, finally determines Pmd
(4) for different application in the statistical property that is influenceed on position error of specific integrity risk source, by deeply The conversion method such as or not research Non-zero Mean Gaussian error average expanding method and non-gaussian error, determines sigma expansions system Number subset;
(5) optimal level of protection is built according to step (3) and step (4).
The beneficial effects of the present invention are:
For the problem of how intact risk sources during actual navigator fix, tradition equalization distribution or local strong is broken through Change the limitation for introducing " wooden pail effect ", and for the markov transfer mould of each main integrity risk source design different parameters Type, and be target to meet overall integrity risk requirement, optimum distribution is carried out to integrity risk using bayesian criterion, And then determine Pmd;Influence for Non-zero Mean Gaussian error and non-gaussian error to system availability level, proposes based on swollen The modified sigma expansion algorithms of swollen coefficient set, and determine the coefficient of expansion, the perfect error for needed for integrity monitoring is assumed to carry For theoretical foundation.Final design goes out the level of protection of minimum, to meet the requirement that satellite navigation positions high reliability.
Brief description of the drawings
Fig. 1 integrity risk probability distribution systems and level of protection build flow chart.
Specific embodiment
The present invention is described further below in conjunction with the accompanying drawings.
Propagation characteristic and satellite geometry of various error sources under constructed model point in present invention analysis navigator fix Leverage of the cloth to availability level, there is provided one kind is based on Markov switching model, and has been realized according to bayesian criterion The scheme of good property risk probability distribution, while according to Deviation covering requirement and its requirement of integrity risk, being using based on expansion The sigma distention protocols compensation non-ideal error of polymorphic type of manifold, to meet system availability level requirement.
To achieve the above object, the present invention uses following technical proposals:
Step 1:For the demand of navigation performance needed for different satellite navigations positioning application, it is determined that main integrity risk Propagation characteristic of the source under constructed model, and the integrity risk probability priori corresponding with main integrity risk source is general Rate.
Step 2:By setting up the fault tree models of each integrity risk source, according to bayesian criterion, integrity wind is completed The optimal distributing scheme of dangerous probability.
Step 3:According to the theory of integrity monitoring, in a failure situation, according to integrity risk probability and false alarm The relation of rate, completes the foundation of single order Markov switching model.
Step 4:In order to meet the stability of whole process model, single order Ma Er is determined for each main integrity risk source Initiation parameter in section's husband's metastasis model.
Step 5:In the case where integrity risk determines, the smaller availability performance for meaning navigation information of level of protection It is higher.Therefore, this method is chosen and optimizes integrity risk allocation criterion, builds Minimal Protective level, and then determine loss (Missed Detection Probability, Pmd)。
Step 6:By furtheing investigate not turning not etc. for Non-zero Mean Gaussian error average expanding method and non-gaussian error Method is changed, it is determined that the coefficient of expansion of main integrity risk source.
Embodiment:
Step 1:Navigation performance according to needed for specific satellite navigation application determines the overall integrity risk probability of system (Integrity Risk Probability, PIR), N number of main integrity risk source and its prior probability Pf
Step 2:Based on N number of main integrity risk source in step 1, failure tree graph is set up, according to bayesian criterion, completed The overall integrity risk allocation of navigator fix is as follows:
Wherein, Pr () represents the probability of correspondence event, and IR represents the integrity risk probability of distribution, and subscript k represents kth Integrity risk source is planted, H is represented0The probability of generation.
Step 3:According to integrity risk probability and the relation of false alarm rate, building for single order Markov switching model is completed It is vertical.And for i-th integrity risk source, design suitable initiation parameter.
Step 4:Repeat step 3, the Markov Equation until completing N number of integrity risk source, and step 2 is combined, it is full The restriction relation formula of the following integrity risk demand of foot:
Wherein IRreqIt is the integrity risk demand that navigation application is overall, IRiIt is i-th integrity of integrity risk source Risk, k is expressed as k-th moment.
Step 5:According to step 2,3 and 4, it is determined that being adapted to the P of the navigator fix applicationmd
Step 6:The improvement sigma distention protocols of Non-zero Mean Gaussian error and non-gaussian error
According to the transformational relation such as or not Non-zero Mean Gaussian error and non-gaussian error, i-th integrity error source is analyzed Influence to position error, on the basis of Deviation covering is met, chooses appropriate coefficient of expansion collection.
Step 7:Finally by PmdWith the linear relationship of each integrity risk source, priori failure error and sigma expansions collect, structure Build the level of protection of minimum.
Integrity risk probability distribution system method is based on the invention discloses one kind, it is reliable to support satellite navigation to position Property demand.
Influence satellite navigation positioning performance integrity risk source it is numerous, and correspondence integrity risk source distributed it is intact Property risk probability directly determine its availability level, therefore the risk probability distribution of many integrity risk sources turns into system health Property monitoring first have to solve problem.Navigation performance of the present invention according to needed for specific navigator fix application, the multiple wind of analysis Statistical distribution of the dangerous source under different faults pattern, and set up the fault tree models and the sigma coefficients of expansion of different risk sources Subset, requirement and bayesian criterion according to overall integrity risk, research is intact based on single order Markov switching model Property risk probability distribution and its restricted model, obtain Minimal Protective level, to improve the availability level of navigator fix.
Certainly, the present invention can also have other various embodiments, ripe in the case of without departing from spirit of the invention and its essence Know those skilled in the art and work as and various corresponding adjustment can be made according to the present invention, but these corresponding adjustment should all belong to this The appended scope of the claims of invention.

Claims (1)

1. it is a kind of support satellite navigation reliability of positioning demand integrity risk probability distribution method, it is characterised in that including Following steps:
(1) navigation performance according to needed for different navigation application, for different application in many integrity risk sources set up failure Tree-model;
(2) according to bayesian criterion, the optimal distributing scheme of integrity risk probability is completed;
(3) single order Markov switching model is set up to each main integrity risk source, and according to specific integrity risk Source sets the primary condition and prior information of the model, finally determines Pmd
(4) for different application in the statistical property that is influenceed on position error of specific integrity risk source, by further investigation The conversion method such as or not Non-zero Mean Gaussian error average expanding method and non-gaussian error, determines sigma coefficients of expansion Collection;
(5) optimal level of protection is built according to step (3) and step (4).
CN201611048045.1A 2016-11-11 2016-11-11 A kind of integrity risk probability distribution method of support satellite navigation reliability of positioning demand Pending CN106779082A (en)

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CN201611048045.1A CN106779082A (en) 2016-11-11 2016-11-11 A kind of integrity risk probability distribution method of support satellite navigation reliability of positioning demand

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107907890A (en) * 2017-10-27 2018-04-13 中国航天标准化研究所 A kind of mlssion success of aeronautical satellite precise orbit determination determines method
CN108375971A (en) * 2018-03-18 2018-08-07 哈尔滨工程大学 Integrated Electronic System health control module and health control method for moonlet
CN109871563A (en) * 2018-08-23 2019-06-11 深圳市欣顿智能科技有限公司 A kind of polymorphic satellite system analysis method for reliability of complexity and system
CN112686532A (en) * 2020-12-29 2021-04-20 中国航天标准化研究所 Passive operation risk analysis and evaluation method and device based on Bayesian network model
CN112731460A (en) * 2019-10-28 2021-04-30 千寻位置网络有限公司 Method and system for testing integrity risk of satellite navigation system calibration data

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107907890A (en) * 2017-10-27 2018-04-13 中国航天标准化研究所 A kind of mlssion success of aeronautical satellite precise orbit determination determines method
CN107907890B (en) * 2017-10-27 2021-11-16 中国航天标准化研究所 Method for determining task success of precise orbit determination of navigation satellite
CN108375971A (en) * 2018-03-18 2018-08-07 哈尔滨工程大学 Integrated Electronic System health control module and health control method for moonlet
CN109871563A (en) * 2018-08-23 2019-06-11 深圳市欣顿智能科技有限公司 A kind of polymorphic satellite system analysis method for reliability of complexity and system
CN109871563B (en) * 2018-08-23 2023-02-03 深圳市欣顿智能科技有限公司 Method and system for analyzing reliability of complex polymorphic satellite system
CN112731460A (en) * 2019-10-28 2021-04-30 千寻位置网络有限公司 Method and system for testing integrity risk of satellite navigation system calibration data
CN112731460B (en) * 2019-10-28 2022-10-28 千寻位置网络有限公司 Method and system for testing integrity risk of satellite navigation system calibration data
CN112686532A (en) * 2020-12-29 2021-04-20 中国航天标准化研究所 Passive operation risk analysis and evaluation method and device based on Bayesian network model

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