CN103743410A - Beyond visual range target location precision analysis method based on Monte Carlo - Google Patents

Beyond visual range target location precision analysis method based on Monte Carlo Download PDF

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Publication number
CN103743410A
CN103743410A CN201310718006.8A CN201310718006A CN103743410A CN 103743410 A CN103743410 A CN 103743410A CN 201310718006 A CN201310718006 A CN 201310718006A CN 103743410 A CN103743410 A CN 103743410A
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China
Prior art keywords
error
delta
target location
analysis method
index requirement
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Pending
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CN201310718006.8A
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Chinese (zh)
Inventor
戴春江
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Hebei Hanguang Heavy Industry Ltd
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Hebei Hanguang Heavy Industry Ltd
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Priority to CN201310718006.8A priority Critical patent/CN103743410A/en
Publication of CN103743410A publication Critical patent/CN103743410A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C25/00Manufacturing, calibrating, cleaning, or repairing instruments or devices referred to in the other groups of this subclass

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  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Optical Radar Systems And Details Thereof (AREA)

Abstract

The invention relates to a beyond visual range target location precision analysis method based on Monte Carlo. The beyond visual range target location precision analysis method comprises the steps of generating a normal distribution random sequence according to the given delta Y; (2) showing a target location error model as follows: (img file='DDA0000443432970000011. TIF' wi='680'he='256') (/maths); 3) if the location error meets a system index requirement, performing the next step, or returning to the step 1, and regulating the delta Y to meet a system index requirement; (4) appropriately regulating the parameter in the delta Y, and enabling the error to meet the system index requirement, thus finally achieving the error distribution reasonable result. The beyond visual range target location precision analysis method provided by the invention has the advantages that the error is appropriate, the influencing error factors and the error delivery factors of the positional accuracy are found out, the reasonable error distribution is performed, a resource is fully applied, the developing schedule is accelerated, and the cost is reduced.

Description

A kind of over the horizon target Location Accuracy Analysis method based on Monte Carlo
Technical field
The present invention relates to a kind of over the horizon target Location Accuracy Analysis method.
Prior art
Airborne photoelectric tracking measurement equipment is mounted on aircraft and can carries out precision positioning to fixed ground target and maneuvering target or airbound target.Generally, the positioning error of analyzing Airborne Electro-optical Tracking System can relate to 9 coordinate systems, 31 sublinear conversion, the unified equation of 35 variablees of structure, in this case, utilize Monte Carlo method the powerful computing function in conjunction with Matlab, can complete analysis and the reasonable distribution of measuring error factor.
Former technology is most of adopts total differential method that positioning error is discussed, and the variable and the computing that relate to are many, analyze difficulty large, are unfavorable for shortening product development cycle.
Summary of the invention
In order to overcome the shortcoming of prior art, the present invention proposes a kind of over the horizon target Location Accuracy Analysis method based on Monte Carlo, can analyze and affect all error components of positioning precision and the propagation of error factor, carry out rational error distribution, and then fully application resource, accelerate Development Schedule, reduce costs.
The present invention solves the technical scheme that its technical matters takes: specifically comprise the following steps: 1), according to △ Y, produce normal distribution random series; 2), according to the location model of airborne photoelectric tracking measurement equipment B L H = Q ( Y ) Formula calculates positioning error △ B, △ L, △ H, B, L, H is respectively latitude, longitude and the height of target, Q () is location model, Y is the parameter of using in elements of a fix conversion process, comprises position angle and the angle of pitch of airborne photoelectric capstan head with respect to carrier aircraft, longitude and latitude, height and the attitude information of carrier aircraft; Generally, position angle and the angle of pitch are measured by angular transducer, longitude and latitude and the attitude information of carrier aircraft are measured by inertial navigation system, carrier aircraft is measured by altimeter apart from the height on ground, every kind of measuring equipment all can be introduced corresponding measuring error, be designated as △ Y, target location error model can be expressed as follows: ΔB ΔL ΔH = Q ( Y + ΔY ) - Q ( Y ) ; 3) if positioning error meets system index requirement, forward next step to, otherwise return to step 1), adjust △ Y until meet system index requirement; 4), suitably adjust the parameter in △ Y, and error to meet system index requirement, finally reach the most rational result of error distribution.
The present invention can analyze affects all error components of positioning precision and the propagation of error factor, carries out rational error distribution, so fully application resource, accelerate Development Schedule, reduce costs.
Embodiment
The present invention includes the following step: 1), according to △ Y, produce normal distribution random series; 2), according to the location model of airborne photoelectric tracking measurement equipment B L H = Q ( Y ) Formula calculates positioning error △ B, △ L, △ H, B, L, H is respectively latitude, longitude and the height of target, Q () is location model, Y is the parameter of using in elements of a fix conversion process, comprises position angle and the angle of pitch of airborne photoelectric capstan head with respect to carrier aircraft, longitude and latitude, height and the attitude information of carrier aircraft; Generally, position angle and the angle of pitch are measured by angular transducer, longitude and latitude and the attitude information of carrier aircraft are measured by inertial navigation system, carrier aircraft is measured by altimeter apart from the height on ground, every kind of measuring equipment all can be introduced corresponding measuring error, be designated as △ Y, target location error model can be expressed as follows: ΔB ΔL ΔH = Q ( Y + ΔY ) - Q ( Y ) ; 3) if positioning error meets system index requirement, forward next step to, otherwise return to step 1), adjust △ Y until meet system index requirement; 4), suitably adjust the parameter in △ Y, and error to meet system index requirement, finally reach the most rational result of error distribution.

Claims (1)

1. the over the horizon target Location Accuracy Analysis method based on Monte Carlo, is characterized in that: comprise the following steps: 1), according to △ Y, produce normal distribution random series; 2), according to the location model of airborne photoelectric tracking measurement equipment B L H = Q ( Y ) Formula calculates positioning error △ B, △ L, △ H, B, L, H is respectively latitude, longitude and the height of target, Q () is location model, Y is the parameter of using in elements of a fix conversion process, comprises position angle and the angle of pitch of airborne photoelectric capstan head with respect to carrier aircraft, longitude and latitude, height and the attitude information of carrier aircraft; Generally, position angle and the angle of pitch are measured by angular transducer, and longitude and latitude and the attitude information of carrier aircraft are measured by inertial navigation system, carrier aircraft is measured by altimeter apart from the height on ground, every kind of measuring equipment all can be introduced corresponding measuring error, is designated as △ Y, and target location error model representation is as follows: ΔB ΔL ΔH = Q ( Y + ΔY ) - Q ( Y ) ; 3) if positioning error meets system index requirement, forward next step to, otherwise return to step 1), adjust △ Y until meet system index requirement; 4), suitably adjust the parameter in △ Y, and error to meet system index requirement, finally reach the most rational result of error distribution.
CN201310718006.8A 2013-12-20 2013-12-20 Beyond visual range target location precision analysis method based on Monte Carlo Pending CN103743410A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310718006.8A CN103743410A (en) 2013-12-20 2013-12-20 Beyond visual range target location precision analysis method based on Monte Carlo

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310718006.8A CN103743410A (en) 2013-12-20 2013-12-20 Beyond visual range target location precision analysis method based on Monte Carlo

Publications (1)

Publication Number Publication Date
CN103743410A true CN103743410A (en) 2014-04-23

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CN201310718006.8A Pending CN103743410A (en) 2013-12-20 2013-12-20 Beyond visual range target location precision analysis method based on Monte Carlo

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115223065A (en) * 2022-07-25 2022-10-21 中国人民解放军陆军航空兵学院 Method for analyzing mobility of aerial outburst ground equipment based on high-precision positioning and multi-disc analysis

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090222229A1 (en) * 2008-02-28 2009-09-03 Aisin Seiki Kabushiki Kaisha Calibration device and calibration method for range image sensor

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090222229A1 (en) * 2008-02-28 2009-09-03 Aisin Seiki Kabushiki Kaisha Calibration device and calibration method for range image sensor

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
王家骐等: "机载光电跟踪测量设备的目标定位误差分析", 《光学精密工程》 *
赵滨: "基于机载光电测量***的目标定位精度研究", 《中国优秀硕士学位论文工程科技II辑》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115223065A (en) * 2022-07-25 2022-10-21 中国人民解放军陆军航空兵学院 Method for analyzing mobility of aerial outburst ground equipment based on high-precision positioning and multi-disc analysis

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Application publication date: 20140423

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