2014
DOI: 10.1109/tgrs.2013.2282423
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An Accurate Gravity Compensation Method for High-Precision Airborne POS

Abstract: Remote sensing processing requires precise motion information provided by position and orientation system (POS), whereas gravity disturbance is normally ignored in POS solution procedure. For high-precision POS, gravity disturbance becomes a significant error source with decisive effects on the accuracy of POS. In this paper, an accurate gravity compensation method is proposed, which includes the gravity disturbance as the error states of POS Kalman filter, and the appropriate model of gravity disturbance is c… Show more

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Cited by 51 publications
(7 citation statements)
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“…However, the application scope of this compensation method is restricted due to the complex manufacturing process, high cost and large volume of gravity gradiometer [4]. The fourth method obtains the measurement information of GNSS/INS integrated navigation system through high-accuracy differential GNSS, such as position, velocity and even acceleration, and then uses the optimal estimation algorithm to estimate and compensate the gravity disturbance and the other systematic errors [3,[16][17][18][19][20][21]. Although the accuracy of this method is high, its autonomy and reliability cannot be guaranteed because GNSS is vulnerable to interference and occlusion [22,23].…”
Section: Introductionmentioning
confidence: 99%
“…However, the application scope of this compensation method is restricted due to the complex manufacturing process, high cost and large volume of gravity gradiometer [4]. The fourth method obtains the measurement information of GNSS/INS integrated navigation system through high-accuracy differential GNSS, such as position, velocity and even acceleration, and then uses the optimal estimation algorithm to estimate and compensate the gravity disturbance and the other systematic errors [3,[16][17][18][19][20][21]. Although the accuracy of this method is high, its autonomy and reliability cannot be guaranteed because GNSS is vulnerable to interference and occlusion [22,23].…”
Section: Introductionmentioning
confidence: 99%
“…The DOV is considered as the main navigation error in INS. To improve the performance of the INS, the DOV should be compensated for initial alignment and navigation [18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…Because the observation windows are distributed in different positions of the non-rigid platform, the orientation stability control mode of each remote sensing device is different, and each remote sensing device needs to use Position and Orientation System (POS), in which the Inertial Measurement Unit (IMU) is fixed in different positions together with the load. At the same time, the imaging radar based on the distributed multi-subarray antenna structure, such as the long baseline InSAR and the large array antenna SAR, is developed from single antenna to multi antenna to achieve three-dimensional stereoscopic imaging [4,5]. However, as the performance improves, the more array the element is, the more complex the baseline distribution is, and the more significant the flexible baseline is; the signal processing needs to use POS data information at the subarray level and requires information at the subarray level and requires the distributed POS (DPOS) [6,7].…”
Section: Introductionmentioning
confidence: 99%