An Aided Navigation Method Based on Strapdown Gravity Gradiometer

Gao, Duanyang; Hu, Baiqing; Chang, Lubin; Qin, Fangjun; Lyu, Xu

doi:10.3390/s21030829

Cited by 11 publications

(4 citation statements)

References 27 publications

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“…The results presented here demonstrate the full potential of matter-wave inertial sensors for future quantum-aided navigation, either by using the QuAT output to directly determine a vehicle’s position or by providing strapdown operation for gravity mapping ( 14 , 21 ) or gravity matching–aided navigation ( 49 , 50 ). They can also be used to reduce the bias drift on the local acceleration readings and thus relieve the constraint on Schuler, Foucault, or other Earth-periodic oscillation errors ( 51 ).…”

Section: Discussionmentioning

confidence: 77%

Tracking the vector acceleration with a hybrid quantum accelerometer triad

et al. 2022

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Robust and accurate acceleration tracking remains a challenge in many fields. For geophysics and economic geology, precise gravity mapping requires onboard sensors combined with accurate positioning and navigation systems. Cold atom–based quantum inertial sensors can potentially provide these high-precision instruments. However, current scalar instruments require precise alignment with vector quantities. Here, we present the first hybrid three-axis accelerometer exploiting the quantum advantage to measure the full acceleration vector by combining three orthogonal atom interferometer measurements with a classical navigation-grade accelerometer triad. Its ultralow bias permits tracking the acceleration vector over long time scales, yielding a 50-fold improvement in stability (6 × 10 −8 g ) over our classical accelerometers. We record the acceleration vector at a high data rate (1 kHz), with absolute magnitude accuracy below 10 μ g , and pointing accuracy of 4 μrad. This paves the way toward future strapdown applications with quantum sensors and highlights their potential as future inertial navigation units.

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Section: Discussionmentioning

confidence: 77%

Tracking the vector acceleration with a hybrid quantum accelerometer triad

et al. 2022

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“…Gravity gradiometers play an important role in geological exploration [1], oil and gas resource exploration [2], seismology [3], gravity-assisted navigation [4], and so on. Gravity gradient is the second-order spatial derivative of * Author to whom any correspondence should be addressed.…”

Section: Introductionmentioning

confidence: 99%

Error analysis of calibration for horizontal tensor rotating accelerometer gravity gradiometer

Yu,

Jiang,

et al. 2024

Meas. Sci. Technol.

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The rotating accelerometer gravity gradiometer (RAGG) is regarded as a significant tool in geophysics applications such as resource exploration and gravity-assisted navigation research. Here we develop a prototype of the horizontal tensor RAGG and build a dedicated calibration platform for evaluating its performance. The error of calibration is theoretically computed and experimentally verified. The errors considered include higher-order terms of the gravity gradient error, positioning error, demodulation phase error, as well as the dimensions and density error of the gravitational mass. It has witnessed a high-accuracy gravity gradient calibration platform based on a motorized translation stage, with error values of 0.49 E (1 E =10-9 /s2) in channel Γsin and 0.24 E in channel Γcos. At an averaging time of 32 seconds, the RAGG demonstrates optimal stability, featuring a minimum Allan deviation value of 6.6 E in channel Γsin and 5.5 E in channel Γcos. And the RAGG has achieved a measurement noise floor of about 40 E/√Hz @ 0.001-0.1 Hz in both channels. For simulating engineering applications, the experimental results demonstrate a standard deviation error of only 3.2 E by employing a gravity gradient excitation step signal of 10 E. It shows that this RAGG has the potential for a wide range of applications.

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“…Gao proposed an aided navigation method based on strapdown gravity gradiometer. The performance of aided navigation is analyzed and evaluated from six aspects, which contained the high-resolution results [13]. Cattin combined the ground gravity data with satellite gradients in a joint inversion to assess the location and the geometry of transition and obtained a ca.…”

Section: Introductionmentioning

confidence: 99%

High-Resolution Cooperate Density-Integrated Inversion Method of Airborne Gravity and Its Gradient Data

Gao

Liu

et al. 2021

Remote Sensing

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Airborne (or satellite) gravity measurement is a commonly used remote sensing method to obtain the underground density distribution. Airborne gravity gradiometry data have a higher horizontal resolution to shallower causative sources than airborne gravity anomaly, so joint exploration of airborne gravity and its gradient data can simultaneously obtain the anomaly feature of sources with different depths. The most commonly used joint inversion method of gravity and its gradient data is the data combined method, which is to combine all the components into a data matrix as mutual constraints to reduce ambiguity and non-uniqueness. In order to obtain higher resolution results, we proposed a cooperate density-integrated inversion method of airborne gravity and its gradient data, which firstly carried out the joint inversion using cross-gradient constraints to obtain two density structures, and then fused two recovered models into a result through Fourier transform; finally, data combined joint inversion of airborne gravity, and gradient data were reperformed to achieve high-resolution density result using fused density results as a reference model. Compared to the data combined joint inversion method, the proposed cooperate density-integrated inversion method can obtain higher resolution and more accurate density distribution of shallow and deep bodies meanwhile. We also applied it to real data in the mining area of western Liaoning Province, China. The results showed that the depth of the skarn-type iron mine in the region is about 900–1300 m and gives a more specific distribution compared to the geological results, which provided reliable data for the next exploration plan.

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An Aided Navigation Method Based on Strapdown Gravity Gradiometer

Cited by 11 publications

References 27 publications

Tracking the vector acceleration with a hybrid quantum accelerometer triad

Tracking the vector acceleration with a hybrid quantum accelerometer triad

Error analysis of calibration for horizontal tensor rotating accelerometer gravity gradiometer

High-Resolution Cooperate Density-Integrated Inversion Method of Airborne Gravity and Its Gradient Data

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