A Simple Theoretical Comparison between Two Basic Schemes in Function of the Earth's North Pole Detection: The Static Method

Sandoval-Romero, G. E.; Argueta-Diaz, V.

doi:10.1155/2010/253642

Cited by 6 publications

(5 citation statements)

References 17 publications

(21 reference statements)

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“…The core idea is to measure the earth rate using FOG. North or Azimuth finding schemes can be divided into two types [8] . In azimuth determination process, it is necessary to rotate gyro sensitive axis, successively or on fixed angles in horizontal plane.…”

Section: North Finding Schemesmentioning

confidence: 99%

“…As it is mentioned earlier in order to find the azimuth, it is essential to take several readings, R 1 , R 2 ,……., R n . Measurements taken process distinguishes the dynamic and static methods [8] .…”

Section: North Finding Schemesmentioning

confidence: 99%

“…[6] Fiber Optic Gyroscope (FOG) First all-fiber optic gyroscope was demonstrated at Stanford University in 1981. [8] It is usually referred as IFOG (interferometeric fiber optic gyroscope). The FOGs available today are capable of measuring a small fraction of earth rate [1] .…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design and Implementation of FOG Based Gyrocompass

Abbas

2013

AMM

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A novel design of gyrocompass consisting of a single axis Fiber Optic Gyroscope (FOG) and a Theodolite is proposed to meet the requirements of low-cost, fast and high-precision. This algorithm uses FOG data and theodolite encoder feedback to determine Azimuth. Micro computer based software is also discussed which was developed for implementation of this scheme; finally test results and plots are briefly presented which proves effectiveness of the designed methodology. By this design an accuracy of 0.08ois achieved in approximately 5 min time.

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Section: North Finding Schemesmentioning

confidence: 99%

Section: North Finding Schemesmentioning

confidence: 99%

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Design and Implementation of FOG Based Gyrocompass

Abbas

2013

AMM

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“…The fiber optic gyroscope (FOG), on the other hand, has emerged as a commonly used instrument for inertial north-finding [ 9 , 10 ]. Depending on the FOG’s motion state, north-finding methods can be classified into static north-finding and dynamic north-finding methods [ 11 ]. The static method typically involves utilizing a turntable to position the gyroscope at multiple sampling locations and statically measuring the Earth’s rotation rate projection at these positions [ 12 , 13 , 14 , 15 , 16 , 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

A Segmented Cross-Correlation Algorithm for Dynamic North Finding Using Fiber Optic Gyroscopes

Fang,

Mao,

Chen

et al. 2024

Sensors

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Fiber optic gyroscope (FOG)-based north finding is extensively applied in navigation, positioning, and various fields. In dynamic north finding, an accelerated turntable speed shortens the time required for north finding, resulting in a rapid north-finding response. However, with an increase in turntable speed, the turntable’s jitter contributes to signal contamination in the FOG, leading to a deterioration in north-finding accuracy. This paper introduces a divide-and-conquer algorithm, the segmented cross-correlation algorithm, designed to mitigate the impact of turntable speed jitter. A model for north-finding error is established and analyzed, incorporating FOG’s self-noise and the turntable’s speed jitter. To validate the feasibility of our method, we implemented the algorithm on a FOG. The simulation and experimental results exhibited a strong concordance, affirming the validity of our proposed north-finding error model. The experimental findings indicate that, at a turntable speed of 180°/s, the north-finding bias error within a 360 s duration is 0.052°, representing a 64% improvement over the traditional algorithm. These results indicate the effectiveness of the proposed algorithm in mitigating the impact of unstable turntable speeds, offering a solution for north finding with both prompt response and enhanced accuracy.

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“…At the present time, there are two main widely spread methods, which are static and dynamic. They have been thoroughly described in [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Precession Azimuth Sensing with Low-Noise Molecular Electronics Angular Sensors

et al. 2016

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This paper describes the use of MET-based low-noise angular motion sensors to precisely determine azimuth direction in a dynamic-scheme method of measuring the Earth’s rotational velocity vector. The scheme includes sensor installation on a rotating platform so that it could scan the space and seek for the position of the highest Earth’s rotation vector projection on its axis. This method is very efficient provided a low-noise sensor is used. A low-cost angular sensor based on MET (molecular electronic transduction) technology has been used. The sensors of this kind were originally developed for seismic activity monitoring and are well known for very good noise performance and high sensitivity. This approach, combined with the use of special signal processing algorithms, allowed reaching the accuracy of 0.2°, while the measurement time was less than 100 seconds.

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A Simple Theoretical Comparison between Two Basic Schemes in Function of the Earth's North Pole Detection: The Static Method

Cited by 6 publications

References 17 publications

Design and Implementation of FOG Based Gyrocompass

Design and Implementation of FOG Based Gyrocompass

A Segmented Cross-Correlation Algorithm for Dynamic North Finding Using Fiber Optic Gyroscopes

Precession Azimuth Sensing with Low-Noise Molecular Electronics Angular Sensors

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