Method for improving data processing precision of star sensors

A star sensor and data processing technology, applied in the direction of navigation through velocity/acceleration measurement, can solve the characteristic analysis of uncertainty, low data processing accuracy, accuracy of error relationship and reliability of star sensor measurement error and dealing with difficulty

Inactive Publication Date: 2010-04-21
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

In the process of star sensor measurement, the uncertainty of error generation mechanism, the diversity of error manifestations, the complexity of error relationship, and the accuracy and reliability of error processing require the

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  • Method for improving data processing precision of star sensors
  • Method for improving data processing precision of star sensors
  • Method for improving data processing precision of star sensors

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Experimental program
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Embodiment

[0028] (1) Establish the star sensor attitude measurement error model:

[0029] The star sensor measurement errors are divided into three categories: one is the low-frequency error caused by factors such as the internal deformation of the star sensor and the change of the installation position of the star sensor; The intermediate frequency error caused by factors such as jitter and vibration; the third is the high frequency error of the star sensor, that is, the random error of Gaussian white noise distribution with zero mean value; the simulation of the star sensor measurement error:

[0030] Assume that the coordinates of the optical axes z_s1 and z_s2 of the star sensor in the body coordinate system are

[0031]

[0032] (2) According to the analysis of measurement error sources, the following types of errors are added:

[0033] ①Star sensor high frequency error v includes σ v = 12"random error;

[0034] ②Star sensor low frequency error includes Δs 1 = 3″ installatio...

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Abstract

The invention discloses a method for improving data processing precision of star sensors. Star-sensor measurement errors are divided into three categories: A, low-frequency errors caused by star-sensor internal deformation, star-sensor installation position changes and other factors; B, intermediate-frequency errors caused by satellite-orbit parameter changes, star map transformation, jitter and vibration of satellites in orbit movement and other factors; C, high-frequency errors of star sensors, namely random errors obeying zero-mean Gaussian white noise distribution. After the star-sensor measurement errors are solved, the deviation of attitude estimation is basically eliminated, and attitude determination accuracy is increased by over 15 percent.

Description

technical field [0001] The invention relates to a method for improving the data processing accuracy of a star sensor. Background technique [0002] At present, the considered star sensor unit direction vector measurement model is as follows [0003] b = S bs T Ar + 1 1 1 T v - - - ( 1 ) [0004] Where r represents a certain reference vector in the reference coordinate system, such as a star vector (expressed in the inertial coordinate system) given by the ephemeris; b represents the measurement vector in the star sensor coordinate system; A is the star coordinates The attitude matrix of the system relative to the re...

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Application Information

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IPC IPC(8): G01C21/18
Inventor 王炯琦周海银矫媛媛杨建坤段晓君潘晓刚郭雪姣刘洋
Owner NAT UNIV OF DEFENSE TECH
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