scholarly journals Random Error Analysis of Inertial Sensors output Based on Allan Variance

2016 ◽  
Author(s):  
Shaochen Li ◽  
Xiaojing Du ◽  
Junyi Zhai
Keyword(s):  
Error Analysis ◽  
Random Error ◽  
Inertial Sensors ◽  
Allan Variance

ERROR ANALYSIS OF THE INERTIAL MEASUREMENT UNIT / INERCINIO MATAVIMŲ BLOKO KLAIDŲ ANALIZĖ

Aviation ◽  
2011 ◽  
Vol 15 (1) ◽  
pp. 5-10
Author(s):  
František Adamcík
Keyword(s):  
Signal Processing ◽  
Error Analysis ◽  
Kalman Filtering ◽  
Inertial Measurement Unit ◽  
Inertial Sensors ◽  
Allan Variance ◽  
Measurement Unit ◽  
Inertial Measurement ◽  
Navigation Solution ◽  
Sensor Errors

The paper describes the results of error analysis of the new inertial measurement unit ADIS16364 produced by Analog Devices. This error analysis concerns stochastic sensor errors identified by the Allan variance method. In order to improve the performance of the inertial sensors, the users are keen to know more details about the noise components in each axis for a better modelling of the stochastic parts to improve the navigation solution. The main contribution of this paper is to present data necessary for further inertial sensors signal processing by means of Kalman filtering. Santrauka Straipsnyje pateikiami naujojo inercinio matavimų bloko ADIS16364 klaidų analizės rezultatai. Aprašyta klaidų analizė yra susijusi su stochastinio jutiklio klaidomis, nustatytomis Allano variacijos metodu. Siekiant pagerinti inercinių jutiklių našumą, naudotojai yra linkę daugiau sužinoti apie kiekvienoje ašyje esančius komponentus, kad būtų pagerintas stochastinių dalių modeliavimas bei rasti pažangesni navigacijos sprendimai. Šiuo darbu siekiama pristatyti duomenis, kurie yra reikalingi tolimesniam inercinių jutiklių signalų apdorojimui panaudojant Kalmano filtravimą.

scholarly journals Allan variance in dynamically tuned inertial-unit gyro error analysis

2019 ◽  
pp. 69-77
Author(s):  
M. A. Sharova ◽  
S. S. Diadin
Keyword(s):  
Angular Velocity ◽  
Error Analysis ◽  
Output Signal ◽  
Allan Variance ◽  
Measurement Information ◽  
Noise Component ◽  
Velocity Sensor ◽  
Signal Noise ◽  
Variance Method ◽  
Inertial Unit

The purpose of the study was to consider an algorithm for obtaining the measurement information from a dynamically tuned gyroscope in the mode of an angular velocity sensor and output signal noise component estimate, the algorithm being based on the Allan variance method. The results obtained were evaluated

scholarly journals Differential Measurement for Cavity Ring-Down Spectroscopy with Dynamic Allan Variance

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Zeqiang Mo ◽  
Jin Yu ◽  
Jinduo Wang ◽  
Jianguo He ◽  
Shoujun Dai ◽  
...  
Keyword(s):  
Random Error ◽  
Measurement Method ◽  
Measurement Accuracy ◽  
Allan Variance ◽  
Time Varying ◽  
Differential Measurement ◽  
Cavity Ring Down Spectroscopy ◽  
Time Division ◽  
Periodic Changes ◽  
Cavity Ring Down

The method of dynamic Allan variance (DAVAR) is used to analyze the time-varying characteristics of a nonstationary signal and is thus incorporated to evaluate the random error in the cavity ring-down spectroscopy (CRDS) experiments. With the numerical simulation of the influence of instabilities of sudden, slow, or periodic changes on the measurement accuracy in the ring-down process, DAVAR is proved to be an effective way to evaluate random error characteristics in an interfering environment. In order to minimize influences of time-varying noises in CRDS, a practical differential measurement method is proposed, in which wavelength modulation is applied to detect the ring-down times at the absorption peak and the nonabsorption peak in a time-division manner. The validity of the differential measurement is proved with its ability to compensate the influence of the environment changes and improves the accuracy from 0.181 ppm to 0.00914 ppm. The differential measurement method can be used to correct the time-varying error in real time and is helpful to improve the environmental adaptability of the CRDS instrument.

Absolute and random error analysis of the dynamic imaging microellipsometry technique

1989 ◽  
Vol 28 (15) ◽  
pp. 3187 ◽  
Author(s):  
Ralph F. Cohn ◽  
James W. Wagner
Keyword(s):  
Error Analysis ◽  
Random Error ◽  
Dynamic Imaging

scholarly journals Broadband measurements of nanofiber devices: Repeatability and random error analysis

2010 ◽  
Author(s):  
T. Mitch Wallis ◽  
Atif Imtiaz ◽  
Sang-Hyun Lim ◽  
Pavel Kabos ◽  
Kichul Kim ◽  
...  
Keyword(s):  
Error Analysis ◽  
Random Error
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